IUI 2010: An Informal Summary of the International Conference on Intelligent User Interfaces

IUI 2010 Informal Summary
http://www.iuiconf.org/images/iui2010_banner.jpg
Highlights from the main track, poster/demo-session & the VISSW/UDISW/EGIHMI workshops
Jan Smeddinck & Hidir Aras
jan83(at)tzi(dot)de | aras(at)tzi(dot)de
Digital Media, FB 3, University of Bremen, Germany

About this Summary
Compilation of personal notes from the conference & proceedings, twitter (#iui2010), Ian Ozsvald's blog (http://ianozsvald.com/), and more…
Biased for the digital media workgroup … had to skip many interesting pieces of work 
Sloppy references – lack of time – but all links!
Will be on slideshare:
http://www.slideshare.net/Sanook/presentations

IUI General Information
IUI = Intelligent User Interfaces
Single track conference with corporate and univ. participation
Formerly workshop, yearly conference since 1997
ACM sponsored
HCI meets AI and related fields…
~ 30 % paper acceptance rate
Website: http://www.iuiconf.org/
Proceedings: http://portal.acm.org/toc.cfm?id=1719970&idx=SERIES823&type=proceeding&coll=ACM&dl=ACM&part=series&WantType=Journals&title=Proceeding%20of%20the%2014th%20international%20conference%20on%20Intelligent%20user%20interfaces&CFID=78317288&CFTOKEN=12971413

VISSW/UDISW Workshop
Visual Interfaces to the Social and Semantic Web
http://smart-ui.org/events/vissw2010/
User Data Interoperability in the Social Web
http://www.wis.ewi.tudelft.nl/UDISW2010/

Ontology Based Queries – Investigating a Natural Language InterfaceIelka van der Sluis et al., Trinity College Dublin, Ireland
Qualitative comparison study between the written interface semantic web browser "Longwell" and the natural language query interface "LIBER"
Test was done with queries about US geograpy posed by untrained users
Complex tasks (e.g. How many lakes are there in a certain state?)
“From the experimental data, it is clear that subjects preferred Longwell over LIBER and they performed better with Longwell than with LIBER in almost all respects. It should be noted, however, that subjects felt that both interfaces were needlessly complicated.”
http://www.smart-ui.org/events/vissw2010/papers/VISSW2010_Sluis.pdf

An Intelligent Query Interface Based on Ontology NavigationEnrico Franconi et al., Free University of Bozen-Bolzano, Italy
Ontology based data access:
How to formulate queries?
Ontology navigation / queries:
Queries as multi-labelled trees
Alternative: Written language
Lexicon derived from the ontology (engineers definition)
Problematic
70% success rate
http://www.smart-ui.org/events/vissw2010/papers/VISSW2010_Franconi.pdf

An Intelligent Query Interface Based on Ontology NavigationEnrico Franconi et al., Free University of Bozen-Bolzano, Italy
http://www.smart-ui.org/events/vissw2010/papers/VISSW2010_Franconi.pdf

Semantic Cloud: An Enhanced Browsing Interface for Exploring Resources in Folksonomy SystemsHidir Aras, Sandra Siegel, Rainer Malaka, University of Bremen, Germany
Innovative interface approach for browsing resources in folksonomy systems
based on a hierarchical semantic representation of the folksonomy space using tag co-occurrence analysis
Provides multiple topic clouds that can be explored hierarchically
Allows for the composition of queries from the tag cloud, while consulting results and refining the query afterwards

http://semanticcloud.sandra-siegel.de/

Designing Social Mobile Interfaces: Experiences with MobiMood, a Mobile Mood Sharing ApplicationKaren Church et al., Telefonica Research, Spain
http://www.smart-ui.org/events/vissw2010/papers/VISSW2010_Church.pdf

Designing Social Mobile Interfaces: Experiences with MobiMood, a Mobile Mood Sharing ApplicationKaren Church et al., Telefonica Research, Spain
People were really interested in strangers moods
The interface was often abused for status updates
Concrete replies to moods not that frequent
Most used: custom moods / positive presets
Audience suggested to integrate the moods into the contact list … update frequency is a problem
http://www.smart-ui.org/events/vissw2010/papers/VISSW2010_Church.pdf

EGIHMI Workshop
International Workshop on Eye Gaze in Intelligent Human Machine Interaction
http://links.cse.msu.edu:8000/iui/program.html
Information from Ian Ozsvald‘s report:
http://ianozsvald.com/2010/02/07/intelligent-user-interfaces-2010-conference/

The Text 2.0 Framework – Writing Web-Based Gaze-Controlled Realtime Applications Quickly and EasilyR. Biedert et al., DFKI, Germany
http://www.youtube.com/watch?v=8QocWsWd7fc
http://text20.net/
Browser Plugin with mark-up for OnGazeOver, OnPersual, OnRead, etc.
Exciting Technology, but expensive tracking hardware!

Robust Pupil Detection for Gaze-based User InterfacesW.H. Liao
60 $, 40x40 pixel accuracy, IR based, 30fps on core2
http://www.youtube.com/watch?v=WvWdwB6nTkk

IUI 2010 Conference

Cortically-Coupled Computer VisionPaul Sajda et al., Columbia University, USA
Image recognition at the blink of an eye…
System harnesses brain'sability to recognize an image much faster than the person can identifyit
Neural activity recording of visual cortex activity while observing flashing images to score "gist" of the images
Standard signal + target + novel items neural activity test
Normally done with averaging many iterations
How to achieve single test precision?
Decode EEG signal over time (~ 800 ms per sample) and space (electrodes spread over the skull)
http://www.wired.com/medtech/health/news/2006/07/71364
http://newton.bme.columbia.edu/publications/triage_ieee.pdf
http://www.wired.com/news/images/full/brain1_f.jpg

Cortically-Coupled Computer VisionPaul Sajda et al., Columbia University, USA
Sample subset of a large image db
> feature abstraction of entire image db based on sample subset results
C3 vision search: E.g. help with labeling in maps:
vision module recognizes possibly interesting regions in huge maps
Chips of possibly interesting images shown rapidly to the actual labeller (person)
Then lead the labeler to image(-sections) of interest

Personalized News Recommendation Based on Click BehaviorJiahui Liu, Peter Dolan, Elin Rønby Pedersen, Google Inc., USA
Web provides access to news articles from millions of sources around the world
Help users find the articles that are interesting to read
Recommendationsystem builds profiles of users’ news interests based on their past click behavior
large-scale analysis of anonymized Google News users click logs
Bayesian framework for predicting users’ current news interests from the activities of that particular user and the news trends demonstrated in the activity of all users
Deployed in Google News
Improves quality of news recommendation and increases traffic
http://portal.acm.org/ft_gateway.cfm?id=1719976&type=pdf&coll=ACM&dl=ACM&CFID=78317288&CFTOKEN=12971413

http://twitpic.com/1216bu

Personalized News Recommendation Based on Click BehaviorJiahui Liu, Peter Dolan, Elin Rønby Pedersen, Google Inc., USA

Aspect-Level News BrowsingS. Park, KAIST, Korea
Media bias comparison
Puts news snippets of different services side-to-side
Splits articles in (1)first and mostly similar reports and (2) later, more and more diverse articles / comments
Scans title, subtitle and lead for keywords and clusters common and uncommon keywords
Uses uncommon keywords to make opinion opposites:
http://newscube.kr/

Aspect-Level News BrowsingS. Park, KAIST, Korea
Audience suggested a dynamic number of clusters…
http://nclab.kaist.ac.kr/papers/Conference/NewsCube.pdf

Agent-Assisted Task Management that Reduces Email OverloadA. Faulring et al., CMU, USA
Offspring of RADAR project in DARPAs PAL program
Turns inbox into action-list (task-based) by scanning emails for commonly mentioned tasks
Statistically significantly helped users organize their email and tasks
RADAR 2.0 system: task-centric workflow enabled by AI technologies helps users
User performance varied significantly
Hypothesis: Some users had difficulties finding a high-level strategy for completing the work (novice users lacked meta-knowledge about tasks such as task importance, expected task duration, and task ordering dependencies)

Simulated conference-planning scenario
Scheduling, website, informational requests, vendors, briefing
An evaluation score, designed by external program evaluators, summarized overall performance into a single objective score ( 0 – 1 )

Tell Me More, Not Just More of the SameF. Lacobelli et al. , Northwestern Univ., USA
Most existing approaches are vector-set analyses based on words, phrases or time
User picks a news article to read (full article on a specific news website) and "more" information is shown along-side from various sources
Paragraph analysis based on OpenCalais combined with WPED (checks if entities are present in wikipedia to normalize the results of OC)
To tackle problems like senator Kennedy != ted Kennedy

Evaluation suggested that users trust the new information presented
96% of participants read news online, 76% of them consult more than onesource
Respondents said TellMeMore contains relevant details and background information
They would like to see a similar interface in their news reading experience
http://infolab.northwestern.edu/projects/news-at-seven/

Business Microscope: Interfacing with Organizational NetworksKazuo Yano, Hitachi, Japan
Analysis of business participants mimics, also tracking movement, activities of employees of companies and storing in huge db for analysis <-> Audience: Big Brother!
Organizational-behavior db with about 100.000 data sets
http://www.hitachi-hitec.com/global/business-microscope/solution/index.html

Organizational network visualization with: each person one node, connected to other persons that they are in contact with by springs: more dense interaction equals stronger springs
~ most important persons at the center
Raises questions about the general applicability of laws of physics on social / organizational science
Allows for “biofeedback effects” if organization is seen as an organism

http://www.youtube.com/watch?v=mlGFzevfftk&feature=related
http://www.youtube.com/watch?v=cGW15V9Lt80&feature=related

Rush: Repeated Recommendations on Mobile DevicesD. Baur et. al., Univ. of Munich, Germany
Interesting approach for recommendation + interaction as opposed to limited recommendation systems
Most motivating introduction of IUI 2010:
http://www.slideshare.net/dominikus/rush-repeated-recommendations-on-mobile-devices-iui10-3119488
Next 9 slides are a direct rip-off / re-enactment!

http://www.slideshare.net/dominikus/rush-repeated-recommendations-on-mobile-devices-iui10-3119488

http://www.youtube.com/watch?v=2nGopSdD-hA

Social Search BrowserK. Chruch et. al. Telefonica Research, Spain
Questions of mobile phone users placed on map locations, so people close-by can help
Exploratory Search
“In standard Web search, users submit a query via a searchbox and view a textual list of results. More recently, a newclass of search has emerged, called exploratory search…”
Only SMS notifications really encouraged interaction

Social Search BrowserK. Chruch et. al. Telefonica Research, Spain

Estimating User's Acute Engagement from Eye-gaze Behaviors in Human-Agent ConversationsY. Nakano & R. Yukiko, Seikei Uni., Japan
Eye-movement has large impact on dialogues (turn-taking, grounding, etc.)
Tracking dialogues with a mobile phone sales agent
Survey showed statistically significant increase in "natural feel" of the conversation as well as avoiding distraction

Estimating User's Acute Engagement from Eye-gaze Behaviors in Human-Agent ConversationsY. Nakano & R. Yukiko, Seikei Uni., Japan

Embedded Media Markers: Marks on Paper that Signify Associated MediaQ. Liu et al., FXPAL, USA
Markers both human and machine readable
http://www.youtube.com/watch?v=K-Qdap6h9TQ
http://www.fxpal.com/?p=abstract&abstractID=551
http://www.fxpal.com/publications/FXPAL-PR-10-551.pdf

Lowering the Barriers to Website Testing with CoScripterM. Jalal & T. Lau, IBM Research, USA
Nice FF plugin to record and share java-script macros
Lots of automation features and smart inter-exchangeable variables
http://coscripter.researchlabs.ibm.com/

Facilitating Exploratory Search by Model-Based Navigational CuesW. Fu et al., UIUC, USA
Background knowledge of people in the same culture tends to have shared structures
using similar vocabularies and their corresponding meanings
users of the same social tagging system may also share similar semantic representations of words and concepts
For simple information retrieval expert networks serve better purpose
For exploratory search a match of internal knowledge and external folksonomies is important (better for expert - expert and novice - novice)
Results have significant implications on how social information systems should be designed to facilitate knowledge exchange among users with different background knowledge
Social tags are more important in exploratory search

Facilitating Exploratory Search by Model-Based Navigational CuesW. Fu et al., UIUC, USA

Towards a Reputation-based Model of Social Web SearchK. McNally, et al., Univ. College Dublin, Ireland
HeyStacks: Support collaboration on search
Recommendations based on user experiences
Automatically calculates reputation scores for users to value their contributions (i.e. points per follow-up by other users)
http://www.heystaks.com/

A Code Reuse Interface for Non-Programmer Middle School StudentsP. Gross et al., Washington Univ., USA
Based on „Looking Glass Storytelling“ (programming) learning-tool for middleschoolers
Correlates function calls to screenshots from storytelling action view
Animations propagated through different working and presentation groups

Speeding Pointing in Tiled WidgetsJ. Ruiz & E. Lank, Univ. of Waterloo, Canada
Based on using Fitt's Law to predict motion targets and then resizing them to allow for better performance
Results not easily adaptable to different use cases

QuickWoZ: A Multi-purpose Wizard-of-Oz Framework for Experiments with Embodied Conversational Agents
Jan Smeddinck, Kamila Wajda, et. al.
Digital Media, FB 3, University of Bremen, Germany

Using Sketch Recognition to Teach DrawingTracy Hammond, Texas A&M Univ., USA
Sketch recognition
Tool uses an off-the-shelf face recognizer to help sketching students learn to draw better faces.
Tracy is also the creator of the tech behind all the sketch-a-car-and-watch-it-move physics demos that appeared in the last year or so, see a video of her original approach here.
http://faculty.cs.tamu.edu/hammond/
Via: http://ianozsvald.com/2010/02/07/intelligent-user-interfaces-2010-conference/
http://www.flickr.com/photos/54145418@N00/4343172889/

Why UI: Using Goal Networks to Improve User InterfacesD. A. Smith & H. Lieberman, MIT, USA
Matching Users Problems / Questions with typical solutions and embedding the results in a map-based interface
Mapping how people solve tasks by performing natural language processing at 43Things to build networks of goals
Automatically extract the steps required to solve goals by analyzing existing stories
http://farm5.static.flickr.com/4055/4343923626_9c77b9e617_o.jpg

Other Notable Posters / Demos
Avara: a system to improve user experience in web and virtual world
Important for online games
An intuitive texture picker
Similarities to HSBs Sound Torch
Automatic configuration of spatially consistent mouse pointer navigation in multi-display environments
Basic work towards future shared systems
Understanding web documents using semantic overlays
Relevance to CEI development
NAO Demo:
http://www.youtube.com/watch?v=VdhGYn32ACg&feature=youtu.be&a

Thanks! Questions?
http://www.youtube.com/watch?v=VdhGYn32ACg&feature=youtu.be&a

IUI 2010: An Informal Summary of the International Conference on Intelligent User Interfaces

by J S on Feb 26, 2010

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IUI 2010: An Informal Summary of the International Conference on Intelligent User Interfaces — Presentation Transcript