Proceedings of the 1st ACM SIGCHI symposium on Engineering interactive computing systems
Bibliographic record
Abstract
It is our great pleasure to welcome you to the inaugural ACM SIGCHI Symposium on Engineering Interactive Computing Systems -- EICS 2009. Peoples' choices as to what products they use--from cars to games to word processors--are increasingly determined by the human factors of the software they contain. Yet much has yet to be learned about how best to include usability considerations into the software design and development process. To address this problem, EICS 2009 serves as a forum for innovative engineering approaches that enhance the usability and entertainment value of interactive systems. This year's symposium brings together people from all over the world who study or practice the engineering of interactive systems, drawing from the Human-Computer Interaction, Software Engineering, Requirements Engineering, Computer-Supported Cooperative Work, Ubiquitous / Pervasive Systems and Game Development communities. EICS is the continuation of the successful EHCI (Engineering of Human Computer Interaction) series of conferences sponsored by IFIP Working Group 2.7/13.4. In addition, EICS 2009 incorporates the 16th International Workshop on the Design, Specification and Verification of Interactive Systems (DSV-IS 2009). The EICS 2009 program consists of 19 full papers and 18 late breaking results papers. These cover topics ranging over the software engineering of interactive systems, including model-based user interface development, user interface architecture, development toolkits, novel input techniques, formal techniques, and user interface evaluation. The conference begins with a doctoral consortium chaired by Jean Vanderdonckt, where seven promising students will receive critique and feedback of their work from a panel of experts. The published papers hail from a total of 18 countries and five continents. In addition, keynote addresses will be offered from Frank Maurer and Brad Myers.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.149 | 0.083 |
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".