The Human-Computer Interaction perspective on Information Retrieval, Keynote Speech presented at the 15th Dutch-Belgian Information Retrieval Workshop - Nov 25th 2016
CHIIR2017 - Tetris Model of Resolving Information NeedsMax L. Wilson
The document introduces the "Tetris Model" of resolving information needs. It uses the game of Tetris as a metaphor to show how information needs can vary in complexity, from simple lookups to more involved investigative searches. In the Tetris Model, simple information needs correspond to getting the right piece quickly to clear lines, while complex needs are like having to investigate different pieces to solve a more challenging part of the board. The model helps conceptualize how information needs can increase in depth and complexity over time as knowledge grows. However, it also has limitations and does not capture all aspects of information searching such as stages, actions, or time pressure.
Why Watson Won: A cognitive perspectiveJames Hendler
In this talk, we present how the Watson program, IBM's famous Jeopardy playing computer, works (based on papers published by IBM), we look at some aspects of potential scoring approaches, and we examine how Watson compares to several well known systems and some preliminary thoughts on using it in future artificial intelligence and cognitive science approaches.
The document discusses IBM's Watson artificial intelligence system from an academic perspective. It summarizes that Watson is interesting from a research perspective because of its underlying "cognitive pipeline" approach to parallelizing reasoning using a large memory, as a different approach to memory-based reasoning, and as a validation of the paradigm of AI as a collection of small processes linked through learned contexts rather than as a monolithic system. The document argues that Watson demonstrates that intelligence relies on an ability to appropriately retrieve relevant information from memory, and opens up new areas for cognitive computing research.
Analyzing behavioral data for improving search experiencePavel Serdyukov
This document discusses behavioral data analysis from search click logs to improve search experiences. It provides an overview of Yandex's efforts to share anonymized click data through hosting public challenges on relevance prediction, switching detection, and personalized search. These challenges helped analyze user behavior and identify challenges around sparse query and click data for tail queries, lack of feedback beyond the first search results page, and limitations of offline evaluation metrics. The talk outlines approaches to address these challenges, such as propagating click-through rates between similar queries, examining lower ranked results, and developing click model-based offline metrics.
Este documento es un catálogo de productos de la compañía Zorson Group en Madrid, España. Presenta una variedad de productos como quinoa, chía, cacao, café y agua, todos los cuales son de agricultura orgánica y comercio justo. El catálogo describe cada producto y cómo son producidos y empacados de manera sostenible y ética.
This document profiles Dr. Max L. Wilson, who researches search user interface design at the University of Nottingham. It provides an overview of his background and qualifications, research areas related to social media search and casual search, and frameworks for evaluating advanced search interfaces. The document also shares details about Dr. Wilson's publications and presentations, and invites the reader to learn more about his work through a video and website.
CHIIR2017 - Tetris Model of Resolving Information NeedsMax L. Wilson
The document introduces the "Tetris Model" of resolving information needs. It uses the game of Tetris as a metaphor to show how information needs can vary in complexity, from simple lookups to more involved investigative searches. In the Tetris Model, simple information needs correspond to getting the right piece quickly to clear lines, while complex needs are like having to investigate different pieces to solve a more challenging part of the board. The model helps conceptualize how information needs can increase in depth and complexity over time as knowledge grows. However, it also has limitations and does not capture all aspects of information searching such as stages, actions, or time pressure.
Why Watson Won: A cognitive perspectiveJames Hendler
In this talk, we present how the Watson program, IBM's famous Jeopardy playing computer, works (based on papers published by IBM), we look at some aspects of potential scoring approaches, and we examine how Watson compares to several well known systems and some preliminary thoughts on using it in future artificial intelligence and cognitive science approaches.
The document discusses IBM's Watson artificial intelligence system from an academic perspective. It summarizes that Watson is interesting from a research perspective because of its underlying "cognitive pipeline" approach to parallelizing reasoning using a large memory, as a different approach to memory-based reasoning, and as a validation of the paradigm of AI as a collection of small processes linked through learned contexts rather than as a monolithic system. The document argues that Watson demonstrates that intelligence relies on an ability to appropriately retrieve relevant information from memory, and opens up new areas for cognitive computing research.
Analyzing behavioral data for improving search experiencePavel Serdyukov
This document discusses behavioral data analysis from search click logs to improve search experiences. It provides an overview of Yandex's efforts to share anonymized click data through hosting public challenges on relevance prediction, switching detection, and personalized search. These challenges helped analyze user behavior and identify challenges around sparse query and click data for tail queries, lack of feedback beyond the first search results page, and limitations of offline evaluation metrics. The talk outlines approaches to address these challenges, such as propagating click-through rates between similar queries, examining lower ranked results, and developing click model-based offline metrics.
Este documento es un catálogo de productos de la compañía Zorson Group en Madrid, España. Presenta una variedad de productos como quinoa, chía, cacao, café y agua, todos los cuales son de agricultura orgánica y comercio justo. El catálogo describe cada producto y cómo son producidos y empacados de manera sostenible y ética.
This document profiles Dr. Max L. Wilson, who researches search user interface design at the University of Nottingham. It provides an overview of his background and qualifications, research areas related to social media search and casual search, and frameworks for evaluating advanced search interfaces. The document also shares details about Dr. Wilson's publications and presentations, and invites the reader to learn more about his work through a video and website.
1) The document discusses the evolution of search engines and algorithms over time from early concepts like Hilltop and PageRank to more modern techniques like RankBrain that use neural networks.
2) It also examines how search engines have incorporated personalization and contextualization by using implicit and explicit user data and feedback to better understand search intent and tailor results.
3) Several studies summarized found that most users expect to find information within the first 2 minutes of searching, spend little time viewing individual results, and refine queries through an iterative process as understanding develops.
Research: Developing an Interactive Web Information Retrieval and Visualizati...Roman Atachiants
The document describes developing an interactive web information retrieval and visualization system. The system aims to make information searching and presentation easier and more efficient. It does this through speech recognition, keyword extraction from text, query construction and expansion using concepts, filtering and summarizing search results, and visualization. The system architecture includes these main components and was tested with satisfactory results. However, some challenges remain in creating a smooth presentation experience.
Recommender Systems and IR are technically very similar problems, but are typically treated separately and often investigated by different groups of researchers. Looking at how people behave with such systems can be one way of unifying the problem, as well as the researchers, and can also be a useful, complementary evaluation method. When examining user behaviour, context is crucial. By focusing on the user behaviour and the encapsulating context, we can ask questions about tools that combine search and recsys like: when do people prefer to search and when do they prefer recommendations? What does this mean for what they are trying to achieve? In this talk I will try to answer such questions with examples from leisure and health domains. Finally, looking towards the future, I will argue that the relationship between search and recommender systems and behaviour can go full circle i.e., that both have the potential to impact on user behaviour in positive ways, and will present some ideas that I together with collaborators are doing to explore this.
This document discusses several key challenges facing the Library of Congress including fragmentation, findability, and complexity. It notes that users cannot easily find what they need on the home page and that most resources are not findable. The document advocates for addressing these issues to further the progress of knowledge and make the library's resources more accessible and usable.
Investigating Alternative Forms of SearchMax L. Wilson
The document discusses the results of a study on the impact of COVID-19 lockdowns on air pollution. Researchers analyzed data from dozens of countries and found that lockdowns led to an average decline of nearly 30% in nitrogen dioxide levels across major cities. However, they also observed that the reductions in air pollution were temporary and that levels began to rise again as restrictions eased and human activity increased.
IIiX2012 - Information vs Interaction - Examining different interaction model...Max L. Wilson
A talk given at the 2012 Information Interaction in Context conference (IIiX2012) where we developed 3 alternative versions of Google with 3 different refinement interactions on the left. Each used the same metadata, and the study was designed to show that users can get achieve better performance with different interaction over the same metadata.
You can provide benefits for searchers just be adjusting the interaction to your metadata. You do not _require_ better metadata to get better interaction.
Dynamic Information Retrieval Tutorial - SIGIR 2015Marc Sloan
Dynamic aspects of Information Retrieval (IR), including changes found in data, users and systems, are increasingly being utilized in search engines and information filtering systems. Examples include large datasets containing sequential data capturing document dynamics and modern IR systems observing user dynamics through interactivity. Existing IR techniques are limited in their ability to optimize over changes, learn with minimal computational footprint and be responsive and adaptive.
The objective of this tutorial is to provide a comprehensive and up-to-date introduction to Dynamic Information Retrieval Modeling. Dynamic IR Modeling is the statistical modeling of IR systems that can adapt to change. It is a natural follow-up to previous statistical IR modeling tutorials with a fresh look on state-of-the-art dynamic retrieval models and their applications including session search and online advertising. The tutorial covers techniques ranging from classic relevance feedback to the latest applications of partially observable Markov decision processes (POMDPs) and presents to fellow researchers and practitioners a handful of useful algorithms and tools for solving IR problems incorporating dynamics.
http://www.dynamic-ir-modeling.org/
A newer version of this tutorial presented at WSDM 2015 can be found here http://www.slideshare.net/marcCsloan/dynamic-information-retrieval-tutorial-wsdm-2015
This version has a greater emphasis on the underlying theory and a guest lecture on evaluation by Dr Emine Yilmaz. The newer version presents a wider range of applications of DIR in state of the art research and includes a guest lecture on evaluation by Prof Charles Clarke.
@inproceedings{Yang:2014:DIR:2600428.2602297,
author = {Yang, Hui and Sloan, Marc and Wang, Jun},
title = {Dynamic Information Retrieval Modeling},
booktitle = {Proceedings of the 37th International ACM SIGIR Conference on Research \&\#38; Development in Information Retrieval},
series = {SIGIR '14},
year = {2014},
isbn = {978-1-4503-2257-7},
location = {Gold Coast, Queensland, Australia},
pages = {1290--1290},
numpages = {1},
url = {http://doi.acm.org/10.1145/2600428.2602297},
doi = {10.1145/2600428.2602297},
acmid = {2602297},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {dynamic information retrieval modeling, probabilistic relevance model, reinforcement learning},
}
Master Thesis: The Design of a Rich Internet Application for Exploratory Sear...Roman Atachiants
Users who cannot formulate a precise query but know there must be a good answer somewhere, often rely on exploratory search. This requires an interactive and responsive system, or else the user will soon give up. As data bases are becoming larger, more specialized, and more distributed this calls for a Rich Internet Application, fast enough to keep pace with the users explorations. This thesis studies and implements a system, called MultiMap, which computes similarity maps in real-time. This entailed: (1) precomputing every data structure that does not change after the initial query, (2) optimizing algorithms for zooming and map generation (3) and providing a cognitively appropriate visualization of high dimensional space. Applied to a very large movie database, it resulted in a highly responsive, satisfying, usable system.
This document discusses strategies for profiling web archives to determine the likelihood that a URI is present in an archive. It examines generating profiles using different policies like profiling by top-level domain or path depth. Profiles were created for three sample archives and evaluated based on precision for routing requests versus relative computational cost. The results show profiles can gain up to 22% improved routing precision with less than 5% increased relative cost. The profiling strategies and open source code provide a way to predict archive holdings and help with tasks like Memento query routing.
This document discusses issues related to surveillance and privacy in South Korea. It notes that while the country's constitution protects privacy rights, national security can curtail those rights. It also states that the three major telecom companies in South Korea collect location data. Finally, it provides statistics that over 565,000 government CCTV cameras were installed in South Korea in 2013, and that surveillance covers not just Seoul but also parts of surrounding regions.
Impact Analysis of OCR Quality on Research Tasks in Digital ArchivesMyriam Traub
Humanities scholars increasingly rely on digital archives for their research instead of time-consuming visits to physical archives. This shift in research method has the hidden cost of working with digitally processed historical documents: how much trust can a scholar place in noisy representations of source texts? In a series of interviews with historians about their use of digital archives, we found that scholars are aware that optical character recognition (OCR) errors may bias their results. They were, however, unable to quantify this bias or to indicate what information they would need to estimate it. This, however, would be important to assess whether the results are publishable. Based on the interviews and a literature study, we provide a classification of scholarly research tasks that gives account of their susceptibility to specific OCR- induced biases and the data required for uncertainty estimations. We conducted a use case study on a national newspaper archive with example research tasks. From this we learned what data is typically available in digital archives and how it could be used to reduce and/or assess the uncertainty in result sets. We conclude that the current knowledge situation on the users’ side as well as on the tool makers’ and data providers’ side is insufficient and needs to be improved.
Ayurvedic management of pcos
in this slide we had given scientific and ayurveda based approach to treat pcos.it will help to new generation doctors and patient also to understand PCOS.
Ensayo civil charly Charlys Gregorio Castilloyenny mar g
El documento resume las responsabilidades del arquitecto, empresario y contratista según el Código Civil venezolano. El arquitecto y empresario son responsables si un edificio se derrumba dentro de 10 años debido a defectos. El contratista es responsable no solo por su trabajo sino también por el de sus empleados, y por defectos ocultos hasta 15 años después de terminada la obra. Todos están obligados a cumplir con los términos de los contratos de obra y pueden ser regulados por leyes especiales.
Creative critical reflection by syed hassaansyed hassaan
The document discusses a student's media project about a romantic drama film. The student followed conventions of the genre, portraying a love story that turns tragic when the girl dumps the boy, causing him to commit suicide. The project aims to highlight the negative effects of relationships leading to depression and suicide among young people. For distribution, the student hopes for partnerships with major studios to release the film widely in theaters, online, and through promotional merchandise. Through this project, the student learned various film production skills like camera angles, shots, sound, and use of hardware like tripods and editing software.
The document discusses research into the characteristics of popular human-generated stories on social media platforms. It finds that on average, popular stories have 51 elements including 23 web elements, are edited over a period of 3 hours, and are most often composed of content from Twitter, Instagram, YouTube and Facebook. The research also shows a linear relationship between the time a story is edited and the number of elements included.
1.3.23 Решения для отраслевых задач от siemens и дкс. организация ввода и рас...Igor Golovin
Многолетний опыт специалистов компании ДКС и "Сименс" в области организации систем распределения электроэнергии, а также применение передовых технологий при разработке и производстве электрощитового оборудования позволяют реализовать задачи любой сложности по организации ГРЩ (главный распределительный щит) на номинальные токи до 4000 А.
Mental Workload Alerts - Reliable Brain Measurements of HCI using fNIRS - Uni...Max L. Wilson
A human-computer interaction research talk about how we measure mental workload, and how people might reflect on this type of personal data in the future. The research is carried out at the University of Nottingham in the School of Computer Science, involving functional Near Infrared Spectroscopy (fNIRS)
Brain-based HCI - What brain data can tell us about HCI - St Andrews, 2019Max L. Wilson
A human-computer interaction research talk about how we measure mental workload, and how people might reflect on this type of personal data in the future. The research is carried out at the University of Nottingham in the School of Computer Science, involving functional Near Infrared Spectroscopy (fNIRS)
1) The document discusses the evolution of search engines and algorithms over time from early concepts like Hilltop and PageRank to more modern techniques like RankBrain that use neural networks.
2) It also examines how search engines have incorporated personalization and contextualization by using implicit and explicit user data and feedback to better understand search intent and tailor results.
3) Several studies summarized found that most users expect to find information within the first 2 minutes of searching, spend little time viewing individual results, and refine queries through an iterative process as understanding develops.
Research: Developing an Interactive Web Information Retrieval and Visualizati...Roman Atachiants
The document describes developing an interactive web information retrieval and visualization system. The system aims to make information searching and presentation easier and more efficient. It does this through speech recognition, keyword extraction from text, query construction and expansion using concepts, filtering and summarizing search results, and visualization. The system architecture includes these main components and was tested with satisfactory results. However, some challenges remain in creating a smooth presentation experience.
Recommender Systems and IR are technically very similar problems, but are typically treated separately and often investigated by different groups of researchers. Looking at how people behave with such systems can be one way of unifying the problem, as well as the researchers, and can also be a useful, complementary evaluation method. When examining user behaviour, context is crucial. By focusing on the user behaviour and the encapsulating context, we can ask questions about tools that combine search and recsys like: when do people prefer to search and when do they prefer recommendations? What does this mean for what they are trying to achieve? In this talk I will try to answer such questions with examples from leisure and health domains. Finally, looking towards the future, I will argue that the relationship between search and recommender systems and behaviour can go full circle i.e., that both have the potential to impact on user behaviour in positive ways, and will present some ideas that I together with collaborators are doing to explore this.
This document discusses several key challenges facing the Library of Congress including fragmentation, findability, and complexity. It notes that users cannot easily find what they need on the home page and that most resources are not findable. The document advocates for addressing these issues to further the progress of knowledge and make the library's resources more accessible and usable.
Investigating Alternative Forms of SearchMax L. Wilson
The document discusses the results of a study on the impact of COVID-19 lockdowns on air pollution. Researchers analyzed data from dozens of countries and found that lockdowns led to an average decline of nearly 30% in nitrogen dioxide levels across major cities. However, they also observed that the reductions in air pollution were temporary and that levels began to rise again as restrictions eased and human activity increased.
IIiX2012 - Information vs Interaction - Examining different interaction model...Max L. Wilson
A talk given at the 2012 Information Interaction in Context conference (IIiX2012) where we developed 3 alternative versions of Google with 3 different refinement interactions on the left. Each used the same metadata, and the study was designed to show that users can get achieve better performance with different interaction over the same metadata.
You can provide benefits for searchers just be adjusting the interaction to your metadata. You do not _require_ better metadata to get better interaction.
Dynamic Information Retrieval Tutorial - SIGIR 2015Marc Sloan
Dynamic aspects of Information Retrieval (IR), including changes found in data, users and systems, are increasingly being utilized in search engines and information filtering systems. Examples include large datasets containing sequential data capturing document dynamics and modern IR systems observing user dynamics through interactivity. Existing IR techniques are limited in their ability to optimize over changes, learn with minimal computational footprint and be responsive and adaptive.
The objective of this tutorial is to provide a comprehensive and up-to-date introduction to Dynamic Information Retrieval Modeling. Dynamic IR Modeling is the statistical modeling of IR systems that can adapt to change. It is a natural follow-up to previous statistical IR modeling tutorials with a fresh look on state-of-the-art dynamic retrieval models and their applications including session search and online advertising. The tutorial covers techniques ranging from classic relevance feedback to the latest applications of partially observable Markov decision processes (POMDPs) and presents to fellow researchers and practitioners a handful of useful algorithms and tools for solving IR problems incorporating dynamics.
http://www.dynamic-ir-modeling.org/
A newer version of this tutorial presented at WSDM 2015 can be found here http://www.slideshare.net/marcCsloan/dynamic-information-retrieval-tutorial-wsdm-2015
This version has a greater emphasis on the underlying theory and a guest lecture on evaluation by Dr Emine Yilmaz. The newer version presents a wider range of applications of DIR in state of the art research and includes a guest lecture on evaluation by Prof Charles Clarke.
@inproceedings{Yang:2014:DIR:2600428.2602297,
author = {Yang, Hui and Sloan, Marc and Wang, Jun},
title = {Dynamic Information Retrieval Modeling},
booktitle = {Proceedings of the 37th International ACM SIGIR Conference on Research \&\#38; Development in Information Retrieval},
series = {SIGIR '14},
year = {2014},
isbn = {978-1-4503-2257-7},
location = {Gold Coast, Queensland, Australia},
pages = {1290--1290},
numpages = {1},
url = {http://doi.acm.org/10.1145/2600428.2602297},
doi = {10.1145/2600428.2602297},
acmid = {2602297},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {dynamic information retrieval modeling, probabilistic relevance model, reinforcement learning},
}
Master Thesis: The Design of a Rich Internet Application for Exploratory Sear...Roman Atachiants
Users who cannot formulate a precise query but know there must be a good answer somewhere, often rely on exploratory search. This requires an interactive and responsive system, or else the user will soon give up. As data bases are becoming larger, more specialized, and more distributed this calls for a Rich Internet Application, fast enough to keep pace with the users explorations. This thesis studies and implements a system, called MultiMap, which computes similarity maps in real-time. This entailed: (1) precomputing every data structure that does not change after the initial query, (2) optimizing algorithms for zooming and map generation (3) and providing a cognitively appropriate visualization of high dimensional space. Applied to a very large movie database, it resulted in a highly responsive, satisfying, usable system.
This document discusses strategies for profiling web archives to determine the likelihood that a URI is present in an archive. It examines generating profiles using different policies like profiling by top-level domain or path depth. Profiles were created for three sample archives and evaluated based on precision for routing requests versus relative computational cost. The results show profiles can gain up to 22% improved routing precision with less than 5% increased relative cost. The profiling strategies and open source code provide a way to predict archive holdings and help with tasks like Memento query routing.
This document discusses issues related to surveillance and privacy in South Korea. It notes that while the country's constitution protects privacy rights, national security can curtail those rights. It also states that the three major telecom companies in South Korea collect location data. Finally, it provides statistics that over 565,000 government CCTV cameras were installed in South Korea in 2013, and that surveillance covers not just Seoul but also parts of surrounding regions.
Impact Analysis of OCR Quality on Research Tasks in Digital ArchivesMyriam Traub
Humanities scholars increasingly rely on digital archives for their research instead of time-consuming visits to physical archives. This shift in research method has the hidden cost of working with digitally processed historical documents: how much trust can a scholar place in noisy representations of source texts? In a series of interviews with historians about their use of digital archives, we found that scholars are aware that optical character recognition (OCR) errors may bias their results. They were, however, unable to quantify this bias or to indicate what information they would need to estimate it. This, however, would be important to assess whether the results are publishable. Based on the interviews and a literature study, we provide a classification of scholarly research tasks that gives account of their susceptibility to specific OCR- induced biases and the data required for uncertainty estimations. We conducted a use case study on a national newspaper archive with example research tasks. From this we learned what data is typically available in digital archives and how it could be used to reduce and/or assess the uncertainty in result sets. We conclude that the current knowledge situation on the users’ side as well as on the tool makers’ and data providers’ side is insufficient and needs to be improved.
Ayurvedic management of pcos
in this slide we had given scientific and ayurveda based approach to treat pcos.it will help to new generation doctors and patient also to understand PCOS.
Ensayo civil charly Charlys Gregorio Castilloyenny mar g
El documento resume las responsabilidades del arquitecto, empresario y contratista según el Código Civil venezolano. El arquitecto y empresario son responsables si un edificio se derrumba dentro de 10 años debido a defectos. El contratista es responsable no solo por su trabajo sino también por el de sus empleados, y por defectos ocultos hasta 15 años después de terminada la obra. Todos están obligados a cumplir con los términos de los contratos de obra y pueden ser regulados por leyes especiales.
Creative critical reflection by syed hassaansyed hassaan
The document discusses a student's media project about a romantic drama film. The student followed conventions of the genre, portraying a love story that turns tragic when the girl dumps the boy, causing him to commit suicide. The project aims to highlight the negative effects of relationships leading to depression and suicide among young people. For distribution, the student hopes for partnerships with major studios to release the film widely in theaters, online, and through promotional merchandise. Through this project, the student learned various film production skills like camera angles, shots, sound, and use of hardware like tripods and editing software.
The document discusses research into the characteristics of popular human-generated stories on social media platforms. It finds that on average, popular stories have 51 elements including 23 web elements, are edited over a period of 3 hours, and are most often composed of content from Twitter, Instagram, YouTube and Facebook. The research also shows a linear relationship between the time a story is edited and the number of elements included.
1.3.23 Решения для отраслевых задач от siemens и дкс. организация ввода и рас...Igor Golovin
Многолетний опыт специалистов компании ДКС и "Сименс" в области организации систем распределения электроэнергии, а также применение передовых технологий при разработке и производстве электрощитового оборудования позволяют реализовать задачи любой сложности по организации ГРЩ (главный распределительный щит) на номинальные токи до 4000 А.
Mental Workload Alerts - Reliable Brain Measurements of HCI using fNIRS - Uni...Max L. Wilson
A human-computer interaction research talk about how we measure mental workload, and how people might reflect on this type of personal data in the future. The research is carried out at the University of Nottingham in the School of Computer Science, involving functional Near Infrared Spectroscopy (fNIRS)
Brain-based HCI - What brain data can tell us about HCI - St Andrews, 2019Max L. Wilson
A human-computer interaction research talk about how we measure mental workload, and how people might reflect on this type of personal data in the future. The research is carried out at the University of Nottingham in the School of Computer Science, involving functional Near Infrared Spectroscopy (fNIRS)
Measuring & Reflecting on Mental Workload - Birmingham Uni, May 2017Max L. Wilson
A human-computer interaction research talk about how we measure mental workload, and how people might reflect on this type of personal data in the future. The research is carried out at the University of Nottingham in the School of Computer Science, involving functional Near Infrared Spectroscopy (fNIRS)
Mental Workload Alerts - Reliable Brain Measurements of HCI using fNIRS - Lei...Max L. Wilson
A human-computer interaction research talk about how we measure mental workload, and how people might reflect on this type of personal data in the future. The research is carried out at the University of Nottingham in the School of Computer Science, involving functional Near Infrared Spectroscopy (fNIRS)
11Sun Coast Remediation Research Objectives, Research QueSantosConleyha
11
Sun Coast Remediation: Research Objectives, Research Questions, and Hypotheses
4
Sun Coast Remediation
Unique R. Simpkins
Southern Columbia University
Course Name Here
Instructor Name
11-2-2021
Research Objectives, Research Questions, and Hypotheses
Based on the information amassed by the former health and safety director, the organization needs to pursue safety-related programs or initiatives to ensure employees' health. It is an appropriate approach to help the firm and the employees achieve goals and inhibit costs arising from injuries and illnesses while on duty. The completion of this task will provide managers with practicable insights on the approach to enhance safety and protect the firm from losses. This task accounts for the objectives, questions, and hypotheses of the research based on the provided statement of the problem.
RO1: Explore the correlation between the size of the Particulate Matter (PM) and the health of the employee.
RQ1: Is there a correlation between the size of the Particulate Matter (PM) and the health of the employee?
Ho1: There is no statistically significant evidence connecting the size of the Particulate Matter (PM) and the health of the employee.
Ha1: There is statistically significant evidence connecting the size of the Particulate Matter (PM) and the health of the employee.
RO2: Establish whether safety training is feasible in decreasing the lost-time hours.
RQ2: Is safety training feasible in decreasing the lost-time hours?
Ho2: There is no statistically significant evidence linking safety training and reduction in lost-time hours.
Ha2: There is statistically significant evidence linking safety training and reduction in lost-time hours.
RO3: Establish the effectiveness of predicting the decibels (dB) levels before the employee placement on determining the on-site risk.
RQ3: Is predicting the decibels (dB) levels before the employee placement on determining the on site risk effective?
Ho3: There is no statistically significant relationship between predicting the decibels (dB) levels before the employee placement and effective determination of the on-site risk.
Ha3: There is a statistically significant relationship between predicting the decibels (dB) levels before the employee placement and effective determination of the on-site risk.
RO4: Establish whether the revised training program is more practicable than the initially adopted initiative.
RQ4: Is the revised training program is more practicable than the previously adopted initiative?
Ho4: There is no statistically significant proof that the new training program is more feasible than the old program.
Ha4: There is statistically significant proof that the new training program is more feasible than the old program.
RO5: Determine the blood lead levels variation before and after exposure at the end of the remediation service.
RQ5: Do the blood lead levels before and after exposure at the end of the remediation service va ...
11Sun Coast Remediation Research Objectives, Research QueBenitoSumpter862
11
Sun Coast Remediation: Research Objectives, Research Questions, and Hypotheses
4
Sun Coast Remediation
Unique R. Simpkins
Southern Columbia University
Course Name Here
Instructor Name
11-2-2021
Research Objectives, Research Questions, and Hypotheses
Based on the information amassed by the former health and safety director, the organization needs to pursue safety-related programs or initiatives to ensure employees' health. It is an appropriate approach to help the firm and the employees achieve goals and inhibit costs arising from injuries and illnesses while on duty. The completion of this task will provide managers with practicable insights on the approach to enhance safety and protect the firm from losses. This task accounts for the objectives, questions, and hypotheses of the research based on the provided statement of the problem.
RO1: Explore the correlation between the size of the Particulate Matter (PM) and the health of the employee.
RQ1: Is there a correlation between the size of the Particulate Matter (PM) and the health of the employee?
Ho1: There is no statistically significant evidence connecting the size of the Particulate Matter (PM) and the health of the employee.
Ha1: There is statistically significant evidence connecting the size of the Particulate Matter (PM) and the health of the employee.
RO2: Establish whether safety training is feasible in decreasing the lost-time hours.
RQ2: Is safety training feasible in decreasing the lost-time hours?
Ho2: There is no statistically significant evidence linking safety training and reduction in lost-time hours.
Ha2: There is statistically significant evidence linking safety training and reduction in lost-time hours.
RO3: Establish the effectiveness of predicting the decibels (dB) levels before the employee placement on determining the on-site risk.
RQ3: Is predicting the decibels (dB) levels before the employee placement on determining the on site risk effective?
Ho3: There is no statistically significant relationship between predicting the decibels (dB) levels before the employee placement and effective determination of the on-site risk.
Ha3: There is a statistically significant relationship between predicting the decibels (dB) levels before the employee placement and effective determination of the on-site risk.
RO4: Establish whether the revised training program is more practicable than the initially adopted initiative.
RQ4: Is the revised training program is more practicable than the previously adopted initiative?
Ho4: There is no statistically significant proof that the new training program is more feasible than the old program.
Ha4: There is statistically significant proof that the new training program is more feasible than the old program.
RO5: Determine the blood lead levels variation before and after exposure at the end of the remediation service.
RQ5: Do the blood lead levels before and after exposure at the end of the remediation service va ...
What is the reproducibility crisis in science and what can we do about it?Dorothy Bishop
Talk given to the Rhodes Biomedical Association, 4th May 2016.
For references see: http://www.slideshare.net/deevybishop/references-on-reproducibility-crisis-in-science-by-dvm-bishop
NG2S: A Study of Pro-Environmental Tipping Point via ABMsKan Yuenyong
A study of tipping point: much less is known about the most efficient ways to reach such transitions or how self-reinforcing systemic transformations might be instigated through policy. We employ an agent-based model to study the emergence of social tipping points through various feedback loops that have been previously identified to constitute an ecological approach to human behavior. Our model suggests that even a linear introduction of pro-environmental affordances (action opportunities) to a social system can have non-linear positive effects on the emergence of collective pro-environmental behavior patterns.
Slides with notes for my workshop at Lean UX 2014. This is an iterated version of my 2013 workshop - different exercise, slightly different content, but much is similar. Includes link to handout!
Presentation to the J. Craig Venter Institute, Dec. 2014Mark Wilkinson
This is largely a compilation of various other talks that I have posted here - a summary of the past 3+ years of work on SADI/SHARE. It includes the (now well-worn!!) slides about SHARE, as well as some of the more contemporary stuff about how we extended GALEN clinical classes with richer semantic descriptions, and then used them to do automated clinical phenotype analysis. Also includes the slide-deck related to automated Measurement Unit conversion (related to our work on semantically representing Framingham clinical risk assessment rules)
So... for anyone who regularly follows my uploads, there isn't much "new" in here, but at least it's all in one place now! :-)
The document discusses Oliver Rapp's experience in an American Diversity and Design course. It includes his profile stating how the course helped him understand how design can accommodate all people. The document also contains Oliver's responses to discussion questions about topics like innovations that impacted society and designs influenced by diversity groups.
Univ of Miami CTSI: Citizen science seminar; Oct 2014Richard Bookman
The University of Miami's Clinical & Translational Science Institute runs a seminar course for MS students.
This talk surveys 8 citizen science projects, reviews NIH's current activities, and identifies issues for attention, particularly with ethical, legal and social implications.
You're correct. FaceNet, developed by Google, achieved 99.63% accuracy on the Labeled Faces in the Wild (LFW) dataset, significantly higher than both DeepFace (97.35%) and the original baseline (95%). Deep learning models for face recognition have improved dramatically in recent years.
Making sense of messy problems - Systems thinking for interaction designersjohanna kollmann
This document discusses systems thinking and its application to interaction design. It begins with an introduction to systems thinking and then covers three main topics: 1) modeling systems using tools like rich pictures and conceptual models, 2) understanding system behavior over time through graphs and cohort analysis, and 3) identifying leverage points for changing systems. The document provides examples and illustrations for each topic to demonstrate how systems thinking can help interaction designers make sense of complex, real-world problems.
Watching the workers: researching information behaviours in, and for, workplacesHazel Hall
Keynote presentation on researching information behaviours in workplaces delivered at Association for Information Science and Technology (ASIST) Annual Symposium on Information Needs Seeking and Use 2016.
Full citation:
Hall, H. (2016). Watching the workers: researching information behaviours in, and for, workplace environments. Opening keynote presented at Information behavior in workplaces: Association for Information Science and Technology (ASIST) Annual Symposium on Information Needs Seeking and Use 2016, Copenhagen, Denmark, 15 October 2016.
This document provides a summary of a presentation on open scientific knowledge and building a knowledgebase beyond traditional journals. The presentation discusses the problems with publishers controlling infrastructure and restricting access to knowledge. It demonstrates software tools like getpapers and AMI that can be used to freely access and search across scientific literature. The presentation advocates for open access to all scientific literature and building a sustainable community and organization to achieve this goal.
1. The document discusses several topics related to network analysis including predictors of tie strength, how long mobile data is needed to predict mobility patterns, the relationship between network diversity and economic development, and how information spreads across multiple types of networks.
2. One section finds that 14 days of mobile data is needed to accurately predict mobility patterns and extract reasonable communication networks.
3. Another section discusses how diverse personal networks are linked to stronger local economies and that network structure can balance exploration and exploitation of ideas.
Similar to The HCI Perspective on IR (DIR2016 Keynote) (20)
Brain Data as Cognitive Personal Informatics - UCL 2022Max L. Wilson
A human-computer interaction research talk about how we measure mental workload, and how people might reflect on this type of personal data in the future. The research is carried out at the University of Nottingham in the School of Computer Science. Based on a study published at CHI2022, led by Serena Midha.
Brain Data as Cognitive Personal Informatics - Bell Labs 2022Max L. Wilson
A human-computer interaction research talk about how we measure mental workload, and how people might reflect on this type of personal data in the future. The research is carried out at the University of Nottingham in the School of Computer Science. Based on a study published at CHI2022, led by Serena Midha. Presented to Bell Labs
Physiological indicators of task demand, fatigue, and cognition during Work T...Max L. Wilson
A human-computer interaction research talk about how we measure mental workload, and how people might reflect on this type of personal data in the future. The research is carried out at the University of Nottingham in the School of Computer Science, involving functional Near Infrared Spectroscopy (fNIRS)
Understanding & Evaluating Search SessionsMax L. Wilson
A talk given in the University of Leeds School of Computing, on the nature of extended search sessions, and on evaluating/measuring learning/sensemaking during longer research sessions.
RepliCHI - 8 Challenges in Replicating a StudyMax L. Wilson
This document summarizes Dr. Max Wilson's experience replicating a 2011 study by Shah and González-Ibáñez on collaborative information seeking using the Coagmento software. Some key challenges included using an updated version of the software, designing tasks that were still relevant, limited resources and timescales, and uncertainty around data processing and analysis methods. While the replication found different results, it provided valuable lessons about issues in replicating studies for both research and teaching purposes.
The document discusses replication in HCI research. It notes that replication is important for science but is not facilitated well. Barriers include proprietary data/tools and difficulty reproducing studies exactly. Replication could create conflict or doubt novelty claims. The CHI conference series addressed this issue with a panel in 2011 and aims to further the discussion with RepliCHI, which would invite extended abstracts about replication attempts and present them at a dedicated event. The goal is to promote open discussion and incentivize replication to improve the field.
Max L. Wilson of Swansea University presented on evaluating the cognitive impact of search user interface design decisions. He discussed measuring cognitive load using techniques like brain scanning to objectively measure the effects of design changes on users' cognitive load. His research aims to produce clear design recommendations for user interfaces based on objective measures of cognitive impact.
The document outlines a series of 5 sessions. Each session lists the speakers in order from 1 to 4. The document is signed off by Max L. Wilson and includes his email address. The structure and information is repeated for each session.
Casual-Leisure Search - Enterprise Search London MeetupMax L. Wilson
1. The document discusses two studies that uncovered casual-leisure search behaviors that current exploratory search models do not capture well.
2. These behaviors include need-less browsing where the goal is passing time rather than finding specific information, as well as exploring for the experience of exploring new spaces with family and friends.
3. The author proposes a definition of "casual-leisure search" that could help improve models of exploratory search to better reflect these uncommon search scenarios uncovered by the studies.
ASIST2010 - The Revisit Rack - Group Web Search ThumbnailsMax L. Wilson
A conference presentation at ASIST2010 about the (bad) idea of grouping web search thumbnails together at the top of Search Engine Results Pages. Just don't do it!
A talk given to local Small to Medium Enterprises about use of social media in business. Sponsored and Organised by Software Alliance Wales - http://softwarealliancewales.co.uk/
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Zilliz
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Securing your Kubernetes cluster_ a step-by-step guide to success !
The HCI Perspective on IR (DIR2016 Keynote)
1. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
The HCI Perspective on IR
Max L.Wilson
DIR2016 Keynote
2.
3.
4.
5. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
MyTalk
• A brief view of how our fields differ
• A brief history of IR in HCI
• What CHI wants from IR
• The Challenges of giving CHI what it wants from IR
• Examples of getting there
6. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
I admire the fundamentals of
batch-processing IR
Queries
Right
Answers
7. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
Interesting Differences
between HCI & IR
• IR is build on top of prior work
- HCI is explore new ideas (not necessarily on top)
• IR is identify a rule to improve system performance
- HCI is to extract a principle of Human Behaviour
- or User Interface Design rule
• IR Research is temporally close to IR implementation
- HCI is 10-15y gap
All the papers in between wrestle with these tensions
8. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
Microsoft Surface Dial
image: mashable.com
Fitzmaurice, Ishii, and Buxton.
"Bricks: laying the foundations
for graspable user interfaces."
CHI’95.ACM
9. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
A History of IR in HCI
(not comprehensive)
(or rigorous)
(actually: IR papers in CHI)
(based on the ACM DL’s ranking)
http://bit.ly/IR-HCI-Papers
11. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
IR papers at CHI
• “Information Retrieval” in CHI in ACM DL
- 5000+ papers sorted* by ‘relevance’
- of 450,000+ IR papers in whole DL
• Export gives me most relevant 1018
- 373 Full Papers, 65 Short Papers, 580 Extended Abstracts
- of Full Papers, only first 25 tag themselves with IR
• Looked at Peer-Reviewed papers in 200 most relevant (N=84)
- Rejected a further 12 as not really being about IR
*Order keeps changing when press ‘next page’ :-/
http://bit.ly/IR-HCI-Papers
12. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
author 'tle year
Jo W. Tombaugh and Sco1 A.
McEwen
Comparison of Two Informa>on Retrieval Methods on Videotex:
Tree-structure Versus Alphabe>cal Directory
1982
G. Fischer and H. Nieper-Lemke Helgon: Extending the Retrieval by Reformula>on Paradigm 1989
Stuart K. Card and George G.
Robertson and Jock D. Mackinlay
The Informa>on Visualizer, an Informa>on Workspace 1991
Michael Mills and Jonathan Cohen
and Yin Yin Wong
A Magnifier Tool for Video Data 1992
H. Ulrich Hoppe and Franz Schiele Towards Task Models for Embedded Informa>on Retrieval 1992
Ben Shneiderman and Christopher
Williamson and Christopher
Ahlberg
Dynamic Queries: Database Searching by Direct Manipula>on 1992
Daniel M. Russell and Mark J. Stefik
and Peter Pirolli and Stuart K. Card
The Cost Structure of Sensemaking 1993
Vicki L. O'Day and Robin Jeffries
Orienteering in an Informa>on Landscape: How Informa>on
Seekers Get from Here to There
1993
Gene Golovchinsky and Mark
Chignell
Queries-R-Links: Graphical Markup for Text Naviga>on 1993
The oldest IR papers in CHI
http://bit.ly/IR-HCI-Papers
14. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
In general, little evidence for the
superiority of one method can be
found.There were no significant
differences in search times, or in the
number of pages accessed for the
two methods.
[BUT]
Users switched twice as often from
the tree to the directory than from
the directory to the tree.Thus, while
users started with the tree and
directory an equal number of times,
the answer was more often
obtained with the directory
method.
18. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
The concept goes beyond the usual notion of an information
retrieval system to encompass the cost structure of information
from secondary storage to immediate use.
24. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
The direct manipulative qualities of incrementability,
reversibility, and smooth graphical feedback encourage the user
to explore the database, freely manipulating the properties
without fear of syntax errors or of getting lost.
30. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
author 'tle year Cita'
ons
Kerry Rodden and Kenneth R. Wood How Do People Manage Their Digital Photographs? 2003 4261
Kevin Larson and Mary Czerwinski
Web Page Design: Implica>ons of Memory,
Structure and Scent for Informa>on Retrieval
1998 3884
Elizabeth Sillence and Pam Briggs and
Lesley Fishwick and Peter Harris
Trust and Mistrust of Online Health Sites 2004 3572
Ed H. Chi and Peter Pirolli and Kim Chen
and James Pitkow
Using Informa>on Scent to Model User
Informa>on Needs and Ac>ons and the Web
2001 3188
Stuart K. Card and George G. Robertson
and Jock D. Mackinlay
The Informa>on Visualizer, an Informa>on
Workspace
1991 2789
Bill N. Schilit and Gene Golovchinsky and
Morgan N. Price
Beyond Paper: Suppor>ng Ac>ve Reading with
Free Form Digital Ink Annota>ons
1998 2570
Jurgen Koenemann and Nicholas J. Belkin
A Case for Interac>on: A Study of Interac>ve
Informa>on Retrieval Behavior and Effec>veness
1996 2537
Joseph 'Jofish' Kaye and Janet Vertesi and
Shari Avery and Allan Dafoe and Shay
To Have and to Hold: Exploring the Personal
Archive
2006 2262
Daniel M. Russell and Mark J. Stefik and
Peter Pirolli and Stuart K. Card
The Cost Structure of Sensemaking 1993 2188
The Most Cited IR Papers in CHI
http://bit.ly/IR-HCI-Papers
32. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
Subjects really "liked" the
penetrable version that
allowed them to
manipulate the list of
suggested terms.
33. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
Most Recent IR Papers at CHI
author 'tle year
Marta E. Cecchinato and Abigail Sellen and
Milad Shokouhi and Gavin Smyth
Finding Email in a Mul>-Account, Mul>-Device World 2016
Deokgun Park and Simranjit Sachar and
Nicholas Diakopoulos and Niklas Elmqvist
Suppor>ng Comment Moderators in Iden>fying High
Quality Online News Comments
2016
Haizi Yu and Biplab Deka and Jerry O. Talton
and Ranjitha Kumar
Accoun>ng for Taste: Ranking Curators and Content in
Social Networks
2016
Saraschandra Karanam and Herre van
Oostendorp
Age-related Differences in the Content of Search
Queries when Reformula>ng
2016
Benedikt Loepp and Katja Herrmanny and
Jürgen Ziegler
Blended Recommending: Integra>ng Interac>ve
Informa>on Filtering and Algorithmic Recommender
2015
Khalil Klouche and Tuukka Ruotsalo and
Diogo Cabral and Salvatore Andolina and
Designing for Exploratory Search on Touch Devices 2015
Jaimie Y. Park and Neil O'Hare and Rossano
Schifanella and Alejandro Jaimes and Chin-
A Large-Scale Study of User Image Search Behavior on
the Web
2015
Yanir Kleiman and Joel Lanir and Dov Danon
and Yasmin Felberbaum and Daniel Cohen-Or
DynamicMaps: Similarity-based Browsing Through a
Massive Set of Images
2015
Ben Steichen and Luanne Freund
Suppor>ng the Modern Polyglot: A Comparison of
Mul>lingual Search Interfaces
2015
http://bit.ly/IR-HCI-Papers
34. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
A few more IR papers at CHI
http://bit.ly/IR-HCI-Papers
41. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
Not all these ideas work
all the time
we know humans do not ‘do’ relevance feedback explicitly
- even though it would help them
42. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
Image:Yahoo Research Blog
43. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
add donato paper?
44. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
Google’s Wonder Wheel
image: blogoscoped.com
45. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
What does CHI want from IR?
A principle of human behaviour and when it holds true
or
A user interface idea and when it will work
A clear generalisable problem and context being studied
and
46. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
Challenges in HCIR
• Effect of Document Collection on Recommendations
- WWW, Collections, Personal Data, Social Media, Multimedia
• Effect ofTask Design - Exploratory is extremely vague
- subjective, comprehensive, comparative, investigative, etc
• >> When should we provide support
• What to Measure about it
47. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
https://ils.unc.edu/searchtasks
48. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
TaskTaxonomy
• Goal: Learn
• Topic: Conceptually General
• Target: Open ended
• Target: Multiple items
• Target: Uncertainty
• Goal:Ambiguous
• Process: dynamic
• Process: Long
• Goal: multi-faceted
• Goal: not too easy
49. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
Challenges in HCIR
• Focus of Searching - Options
- WWW, Collections, Personal Data, Social Media, Multimedia
• Task Design - Exploratory is extremely vague
- subjective, comprehensive, comparative, investigative, etc
• >> When should we provide support
• What to Measure about it
51. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
Our findings provide further empirical validation toVakkari’s task-
based theory of IR [26], [..] when search interfaces provide
support to the search activities associated with the search
task, effective interaction ensues helping the user address it
efficiently. Otherwise, excessive and unrelated search support
can hamper progress and distract the searcher.
52. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
TeevanThumbnails
only when refinding
54. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
Challenges in HCIR
• Focus of Searching - Options
- WWW, Collections, Personal Data, Social Media, Multimedia
• Task Design - Exploratory is extremely vague
- subjective, comprehensive, comparative, investigative, etc
• >> When should we provide support
• What to Measure about it
55. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
Challenges in HCIR
• Focus of Searching - Options
- WWW, Collections, Personal Data, Social Media, Multimedia
• Task Design - Exploratory is extremely vague
- subjective, comprehensive, comparative, investigative, etc
• When should we provide support
• >> What to Measure about it
60. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
Challenges in HCIR
• Focus of Searching - Options
- WWW, Collections, Personal Data, Social Media, Multimedia
• Task Design - Exploratory is extremely vague
- subjective, comprehensive, comparative, investigative, etc
• When should we provide support
• >> What to Measure about it
62. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
What is evident is that there
is a cost-benefit in
Search User Interface Design
63. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
BCI Evaluation for IR
• 2009 - Concluded that we needed to understand the
Cognitive Load created by Search User Interfaces
• 2011 - EuroHCIR paper on it
• 2012 - EuroHCIR paper using EEG
• 2012 onwards - focusing on fNIRS
66. Dr Max L.Wilson http://cs.nott.ac.uk/~mlw/
SUI Design + Brain Response
Cognitive LoadTheory
Total Mental Capacity
Simple UI
EasyTask
67. Dr Max L.Wilson http://cs.nott.ac.uk/~mlw/
SUI Design + Brain Response
Cognitive LoadTheory
Total Mental Capacity
Simple UI
HardTask
68. Dr Max L.Wilson http://cs.nott.ac.uk/~mlw/
SUI Design + Brain Response
Cognitive LoadTheory
Total Mental Capacity
Complex UI
HardTask
69. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
Three RelatedTheories
• Semantic vs Syntactic Load (HCI / CompSci)
• Cognitive LoadTheory (Education)
• Mental Workload (Human Factors & Psychology)
70. Dr Max L.Wilson http://cs.nott.ac.uk/~mlw/
Mental Workload
the limited resource model [22] describing the relat
between the demands of a task, the resources alloca
e task and the impact on performance.
re 3: Resources available vs task demands
act on performance [22]
Megaw,T. (2005)The definition and measurement of mental workload. Evaluation
of human work, 525-551.
76. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
Challenges in HCIR
• Focus of Searching - Options
- WWW, Collections, Personal Data, Social Media, Multimedia
• Task Design - Exploratory is extremely vague
- subjective, comprehensive, comparative, investigative, etc
• When should we provide support
• >> What to Measure about it
77. Dr Max L.Wilson http://cs.nott.ac.uk/~pszmw
Questions?
http://bit.ly/IR-HCI-Papers