Proceedings of the 16th international conference on Intelligent user interfaces
Bibliographic record
Abstract
It is our great pleasure to welcome you to the 2011 ACM International Conference on Intelligent User Interfaces -- IUI'11. Intelligent User Interfaces (IUI) is the premier conference for reporting on the study of user interfaces with intelligent devices. This topic is of increasing importance as the consumer is interfacing with a wide variety of devices with embedded computation and connectivity and the computer is fading into the background. IUI is where the community of people interested in Human-Computer Interaction (HCI) meets the Artificial Intelligence (AI) community. We have retained the successful format of the conference with Long Papers, Short Papers and Demonstrations. The accepted submissions cover a wide range of topics, including handheld devices, multimodal interfaces, social computing and navigation, intelligent help agents, input technologies, user modeling and personalization, intelligent authoring and information presentation, and pen-based interfaces. Geographically, the accepted work also represents researchers and institutions in many countries across four continents, including Argentina, Australia, Belgium, Canada, China, Denmark, Finland, France, Germany, Ireland, Israel, Italy, Japan, Korea, Netherlands, Pakistan, Spain, Switzerland, Thailand, United Kingdom, and the United States of America. As always, the selection process has been the object of careful consideration and multiple discussions. In order to ensure that all topics were adequately covered more than 150 experts have contributed to the selection of this year's program, and we trust that this had a very positive impact on the relevance and quality of individual reviews. We are grateful to the reviewers, the program committee and the senior program committee, who worked very hard in reviewing papers and providing feedback for authors. Following a trend adopted by several high-quality conferences, we had a rebuttal phase for Long Papers. We have asked the Senior PC moderators and the Demo Chair to formulate recommendations for acceptance and in the vast majority of cases it has been straightforward for us to endorse their choice. It is always down to the Program Chairs to make final decisions, sometimes difficult ones, on the total number of contributions to be accepted. Out of 180 submissions, we selected 28 long papers, 36 short papers and 15 demo papers. We have adopted a continuity policy from previous editions (around 30% for Long Papers); this year's overall acceptance rate achieves the right balance between selectivity and openness to innovative papers. The conference program highlights three invited talks: Andrei Broder from Yahoo! Research, Eric Horvitz from Microsoft Research and Ken Perlin from New York University. We are also glad that we got Anthony Jameson from DFKI GmbH and Joseph Konstan from the University of Minnesota as tutorial speakers. This year's Conference also features ten workshops, covering several hot topics in the area of IUI, with strong emphasis on multimodality of interfaces, smart interaction and personalization including: Sketch recognition, Semantic Models for Adaptive Interactive Systems, Intelligent User Interfaces for Developing Regions, Context-Awareness in Retrieval and Recommendation, Multimodal Interfaces for Automotive Applications, Visual Interfaces to the Social and Semantic Web, Location-Awareness for Mixed and Dual Reality, Eye Gaze in Intelligent Human Machine Interaction, Interacting with Smart Objects and Personalized Access to Cultural Heritage.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.120 | 0.076 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".