The document discusses concepts for designing user interfaces. It emphasizes keeping interfaces simple, consistent and intuitive for users. Key points discussed include using logical grouping and ordering of elements, defining unique meanings and relationships between elements, and providing multiple access points and levels of complexity tailored to user needs and tasks. An example use case on touch functionality highlights considerations for consistency across devices and usability of drag-and-drop interactions. The overall message is that the design should be driven by the user experience and making essential information and functions easy to access and understand.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Enhancing Privacy of Confidential Data using K AnonymizationIDES Editor
Recent advances in the field of data collection and
related technologies have inaugurated a new era of
research where existing data mining algorithms should be
reconsidered from a different point of view, this of privacy
preservation. Much research has been done recently on
privacy preserving data mining (PPDM) based on
perturbation, randomization and secure multiparty
computations and more recently on anonymity including
k-anonymity and l-diversity.
We use the technique of k-Anonymization to de-associate
sensitive attributes from the corresponding identifiers.
This is done by anonymizing the linking attributes so that
at least k released records match each value combination
of the linking attributes. This paper proposes a k-
Anonymization solution for classification. The proposed
method has been implemented and evaluated using UCI
repository datasets.
After the k-anonymization solution is determined for the
original data, classification, a data mining technique using
the ID3 algorithm, is applied on both the original table and
the compressed table .The accuracy of the both is
compared by determining the entropy and the information
gain values. Experiments show that the quality of
classification can be preserved even for highly restrictive
anonymity requirements
Improved Performance of Unsupervised Method by Renovated K-MeansIJASCSE
Clustering is a separation of data into groups of similar objects. Every group called cluster consists of objects that are similar to one another and dissimilar to objects of other groups. In this paper, the K-Means algorithm is implemented by three distance functions and to identify the optimal distance function for clustering methods. The proposed K-Means algorithm is compared with K-Means, Static Weighted K-Means (SWK-Means) and Dynamic Weighted K-Means (DWK-Means) algorithm by using Davis Bouldin index, Execution Time and Iteration count methods. Experimental results show that the proposed K-Means algorithm performed better on Iris and Wine dataset when compared with other three clustering methods.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Enhancing Privacy of Confidential Data using K AnonymizationIDES Editor
Recent advances in the field of data collection and
related technologies have inaugurated a new era of
research where existing data mining algorithms should be
reconsidered from a different point of view, this of privacy
preservation. Much research has been done recently on
privacy preserving data mining (PPDM) based on
perturbation, randomization and secure multiparty
computations and more recently on anonymity including
k-anonymity and l-diversity.
We use the technique of k-Anonymization to de-associate
sensitive attributes from the corresponding identifiers.
This is done by anonymizing the linking attributes so that
at least k released records match each value combination
of the linking attributes. This paper proposes a k-
Anonymization solution for classification. The proposed
method has been implemented and evaluated using UCI
repository datasets.
After the k-anonymization solution is determined for the
original data, classification, a data mining technique using
the ID3 algorithm, is applied on both the original table and
the compressed table .The accuracy of the both is
compared by determining the entropy and the information
gain values. Experiments show that the quality of
classification can be preserved even for highly restrictive
anonymity requirements
Improved Performance of Unsupervised Method by Renovated K-MeansIJASCSE
Clustering is a separation of data into groups of similar objects. Every group called cluster consists of objects that are similar to one another and dissimilar to objects of other groups. In this paper, the K-Means algorithm is implemented by three distance functions and to identify the optimal distance function for clustering methods. The proposed K-Means algorithm is compared with K-Means, Static Weighted K-Means (SWK-Means) and Dynamic Weighted K-Means (DWK-Means) algorithm by using Davis Bouldin index, Execution Time and Iteration count methods. Experimental results show that the proposed K-Means algorithm performed better on Iris and Wine dataset when compared with other three clustering methods.
What are the actors? What are they used for? And how can we develop them? And how are they published and used on Azure? Let's see how it's done in this session
This thesis proposes to help analyzing the characteristics of the heterogeneous social networks that emerge from the use of web-based social applications, with an original contribution that leverages Social Network Analysis with Semantic Web frameworks. Social Network Analysis (SNA) proposes graph algorithms to characterize the structure of a social network and its strategic positions. Semantic Web frameworks allow representing and exchanging knowledge across web applications with a rich typed graph model (RDF), a query language (SPARQL) and schema definition frameworks (RDFS and OWL). In this thesis, we merge both models in order to go beyond the mining of the flat link structure of social graphs by integrating a semantic processing of the network typing and the emerging knowledge of online activities. In particular we investigate how (1) to bring online social data to ontology-based representations, (2) to conduct a social network analysis that takes advantage of the rich semantics of such representations, and (3) to semantically detect and label communities of online social networks and social tagging activities.
Distributed User Interfaces: How to Distribute User Interface Elements across...Serenoa Project
Distributed User Interfaces (DUIs) have become one vivid area of research and development in Human-Computer Interaction (HCI) where many dramatic changes occur in the way we can interact with interactive systems. DUIs attempt to surpass user interfaces that are manipulated only by a single end user, on the same computing platform, and in the same environment, with little or no variations among these axes. In contrast to such currently existing user interfaces, DUIs enable end users to distribute any user interface element, ranging from the largest one to the smallest one, across one or many of these dimensions at design- and/or run-time: across different users, across different computing platforms, and across different physical environments. In this way, end users could be engaged in distributed tasks that are regulated by distribution rules, many of them being currently used in the real world. This paper provides a conceptual framework that invites us to re-think traditional user interfaces in a distributed way based on the locus of distribution control: in the hands of the end user, under control of the system, or in mixed-initiative way. Any user interface submitted to distribution may also be subject to adaptation with respect to the user, the platform, and the environment.
Distributed User Interfaces: How to Distribute User Interface Elements across...Jean Vanderdonckt
Distributed User Interfaces (DUIs) have become one vivid area of research and development in
Human-Computer Interaction (HCI) where many dramatic changes occur in the way we can interact
with interactive systems. DUIs attempt to surpass user interfaces that are manipulated only by a single
end user, on the same computing platform, and in the same environment, with little or no variations
among these axes. In contrast to such currently existing user interfaces, DUIs enable end
users to distribute any user interface element, ranging from the largest one to the smallest one,
across one or many of these dimensions at design and/or run-time: across different users, across different computing platforms, and across different physical environments. In this way, end users
could be engaged in distributed tasks that are regulated by distribution rules, many of them being
currently used in the real world. This paper provides a conceptual framework that invites us to rethink
traditional user interfaces in a distributed way based on the locus of distribution control: in the hands of the end user, under control of the system, or in mixed-initiative way. Any user interface submitted to distribution may also be subject to adaptation with respect to the user, the platform, and the environment.
What are the actors? What are they used for? And how can we develop them? And how are they published and used on Azure? Let's see how it's done in this session
This thesis proposes to help analyzing the characteristics of the heterogeneous social networks that emerge from the use of web-based social applications, with an original contribution that leverages Social Network Analysis with Semantic Web frameworks. Social Network Analysis (SNA) proposes graph algorithms to characterize the structure of a social network and its strategic positions. Semantic Web frameworks allow representing and exchanging knowledge across web applications with a rich typed graph model (RDF), a query language (SPARQL) and schema definition frameworks (RDFS and OWL). In this thesis, we merge both models in order to go beyond the mining of the flat link structure of social graphs by integrating a semantic processing of the network typing and the emerging knowledge of online activities. In particular we investigate how (1) to bring online social data to ontology-based representations, (2) to conduct a social network analysis that takes advantage of the rich semantics of such representations, and (3) to semantically detect and label communities of online social networks and social tagging activities.
Distributed User Interfaces: How to Distribute User Interface Elements across...Serenoa Project
Distributed User Interfaces (DUIs) have become one vivid area of research and development in Human-Computer Interaction (HCI) where many dramatic changes occur in the way we can interact with interactive systems. DUIs attempt to surpass user interfaces that are manipulated only by a single end user, on the same computing platform, and in the same environment, with little or no variations among these axes. In contrast to such currently existing user interfaces, DUIs enable end users to distribute any user interface element, ranging from the largest one to the smallest one, across one or many of these dimensions at design- and/or run-time: across different users, across different computing platforms, and across different physical environments. In this way, end users could be engaged in distributed tasks that are regulated by distribution rules, many of them being currently used in the real world. This paper provides a conceptual framework that invites us to re-think traditional user interfaces in a distributed way based on the locus of distribution control: in the hands of the end user, under control of the system, or in mixed-initiative way. Any user interface submitted to distribution may also be subject to adaptation with respect to the user, the platform, and the environment.
Distributed User Interfaces: How to Distribute User Interface Elements across...Jean Vanderdonckt
Distributed User Interfaces (DUIs) have become one vivid area of research and development in
Human-Computer Interaction (HCI) where many dramatic changes occur in the way we can interact
with interactive systems. DUIs attempt to surpass user interfaces that are manipulated only by a single
end user, on the same computing platform, and in the same environment, with little or no variations
among these axes. In contrast to such currently existing user interfaces, DUIs enable end
users to distribute any user interface element, ranging from the largest one to the smallest one,
across one or many of these dimensions at design and/or run-time: across different users, across different computing platforms, and across different physical environments. In this way, end users
could be engaged in distributed tasks that are regulated by distribution rules, many of them being
currently used in the real world. This paper provides a conceptual framework that invites us to rethink
traditional user interfaces in a distributed way based on the locus of distribution control: in the hands of the end user, under control of the system, or in mixed-initiative way. Any user interface submitted to distribution may also be subject to adaptation with respect to the user, the platform, and the environment.
Unleash Your Inner Demon with the "Let's Summon Demons" T-Shirt. Calling all fans of dark humor and edgy fashion! The "Let's Summon Demons" t-shirt is a unique way to express yourself and turn heads.
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Can AI do good? at 'offtheCanvas' India HCI preludeAlan Dix
Invited talk at 'offtheCanvas' IndiaHCI prelude, 29th June 2024.
https://www.alandix.com/academic/talks/offtheCanvas-IndiaHCI2024/
The world is being changed fundamentally by AI and we are constantly faced with newspaper headlines about its harmful effects. However, there is also the potential to both ameliorate theses harms and use the new abilities of AI to transform society for the good. Can you make the difference?
Dive into the innovative world of smart garages with our insightful presentation, "Exploring the Future of Smart Garages." This comprehensive guide covers the latest advancements in garage technology, including automated systems, smart security features, energy efficiency solutions, and seamless integration with smart home ecosystems. Learn how these technologies are transforming traditional garages into high-tech, efficient spaces that enhance convenience, safety, and sustainability.
Ideal for homeowners, tech enthusiasts, and industry professionals, this presentation provides valuable insights into the trends, benefits, and future developments in smart garage technology. Stay ahead of the curve with our expert analysis and practical tips on implementing smart garage solutions.
White wonder, Work developed by Eva TschoppMansi Shah
White Wonder by Eva Tschopp
A tale about our culture around the use of fertilizers and pesticides visiting small farms around Ahmedabad in Matar and Shilaj.
Expert Accessory Dwelling Unit (ADU) Drafting ServicesResDraft
Whether you’re looking to create a guest house, a rental unit, or a private retreat, our experienced team will design a space that complements your existing home and maximizes your investment. We provide personalized, comprehensive expert accessory dwelling unit (ADU)drafting solutions tailored to your needs, ensuring a seamless process from concept to completion.
Transforming Brand Perception and Boosting Profitabilityaaryangarg12
In today's digital era, the dynamics of brand perception, consumer behavior, and profitability have been profoundly reshaped by the synergy of branding, social media, and website design. This research paper investigates the transformative power of these elements in influencing how individuals perceive brands and products and how this transformation can be harnessed to drive sales and profitability for businesses.
Through an exploration of brand psychology and consumer behavior, this study sheds light on the intricate ways in which effective branding strategies, strategic social media engagement, and user-centric website design contribute to altering consumers' perceptions. We delve into the principles that underlie successful brand transformations, examining how visual identity, messaging, and storytelling can captivate and resonate with target audiences.
Methodologically, this research employs a comprehensive approach, combining qualitative and quantitative analyses. Real-world case studies illustrate the impact of branding, social media campaigns, and website redesigns on consumer perception, sales figures, and profitability. We assess the various metrics, including brand awareness, customer engagement, conversion rates, and revenue growth, to measure the effectiveness of these strategies.
The results underscore the pivotal role of cohesive branding, social media influence, and website usability in shaping positive brand perceptions, influencing consumer decisions, and ultimately bolstering sales and profitability. This paper provides actionable insights and strategic recommendations for businesses seeking to leverage branding, social media, and website design as potent tools to enhance their market position and financial success.
Hello everyone! I am thrilled to present my latest portfolio on LinkedIn, marking the culmination of my architectural journey thus far. Over the span of five years, I've been fortunate to acquire a wealth of knowledge under the guidance of esteemed professors and industry mentors. From rigorous academic pursuits to practical engagements, each experience has contributed to my growth and refinement as an architecture student. This portfolio not only showcases my projects but also underscores my attention to detail and to innovative architecture as a profession.
2. space-x 20101026
you see what you know
challenging situations
providing information, some aspects
how to decode information
follow the line
or enjoy to get lost
the more i see the less i know...
you see what you know by diana frank
3. space-x 20101026
you see what you know
and what you want to see…
what you need to see…
what you expect to see…
or what ever is loud enough to get you attention.
you see what you know by diana frank
4. space-x 20101026
design driven process
– discover needs
– develop suitable services and products
– create value-added services and functions
you see what you know by diana frank
6. space-x 20101026
so do you know what you see?
– it depends on your expericence
– if it compatible to your learned systems
– if it within the range of you expectations
you see what you know by diana frank
7. sign09 20091210
challenging situations
– easier to handle with proper communication
– need support by a clear hierarchy of information
– seeking for logical systems and a big picture
orientation by context, not by text by diana frank
17. space-x 20101026
providing infomation
to address different demands
– think about enjoyable options of using something
– offer at least two options next to the basic function
– ease of use should remain the overall demand
you see what you know by diana frank
18. space-x 20101026
Aspects to consider to provide a consistent user interface and keep things simple and easy
theory and general demands
never forget
fundamental aspects
elements complexity grouping of content semantics users point of view
B D
think about similar principle of Take care about B need
every element B Time and date for
proximity, interest
needs to have an metaphors sense and refer- demand
sending
and meaning E ence desire
unique meaning in use case and and
handling of elements take care about
schedule for SMS, send What will be the key
elements on their
messages anddemand feature for the user?
relations
elements shouldC D
reduce complexity no group should Relationship of clear story C
appear always inD have more than
elements and user
interaction:
make it as simple as Can the user follow the
a logical order possible, but take care 5-7 elements plotline to manage all
(from the users point take care about the
about relations and ratio of what happens important features he
of view not from a explain what to do if it (optimize for groups of needs?
technical point of view) 3 to 5 elements) and where it happens.
is not obvious.
providlist of last C
Place elements and options of use
show e orientation
distinguish between
offer options but functions always on
do not confuse. the most useful place Provide the user
numbers used
to make sure what’s function groups E
regarding the task they different levels of
next (for the user) options should only be and needs to fulfill. complexity (if useful)
(history list) offered if the user will and different access
benefit from.
process steps points to key features.
CONDESK-16
you see what you know by diana frank
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Use case sample: touch functionality
theory and general demands
never forget
fundamental aspects
general aspects multipurpose touch functionality widgets for mobile drag’n’drop
think about similar Definition of frames
clear definition metaphors in use
keep touch and white space and implementation
functionality in mind content areas for
of what the task cases to create even if you do not mobile.
of drag’n’drop
will be more fun and
invest time into it Concept for less or functionality
yet. other information for
excitement in UX mobile need.
consistency of han- dragable elements should keep in mind to make
keep in mind to make be defined to work for all: “element-dimensions”
dling and design “element-dimensions” - touch functionality big enough to access
big enough to access (smartpad, smartphone)
easy touch and easy
only use new elements easy touch and easy - mobile use
catch with the mouse
for other functionality or catch with the mouse and
(for drag’n’drop)
(for drag’n’drop) -drag’n’drop (often used
to make a difference (in slippy and therefore
the look and feel). imprecise)
speaking text and
speaking icons
language (both text
and graphic) should
not appear technical
but tell strories...
you see what you know by diana frank
20. space-x 20101026
how to decode information
– you know the code
– remember similar situations
– knowledge transfer
– happy guessing
you see what you know by diana frank
32. space-x 20101026
follow the line
– is not always easy
– even confusing
– could lead you to an unexpected place
– and sometimes ends on the beginning
you see what you know by diana frank
43. space-x 20101026
enjoy to get lost
– foreign context, other systems
– look from a different point of view
– see familiar and unfamilar things
– remember
you see what you know by diana frank