Proceedings of the 1st international conference on Designing interactive user experiences for TV and video
Bibliographic record
Abstract
The uxtv'08 conference aimed to create a meeting solely dedicated to sharing research and design information on the user experience of interactive TV and video. We hope that the papers in these proceedings will serve as a valuable reference for those working in this field. The call for papers attracted submissions from Asia, Australia, Canada, Europe, South America, and the United States. The topics covered both the design and research of interactive TV. A key part of this conference was the invited speakers: Jakob Nielsen (NNG), Elissa Lee (TiVo), Gunthar Hartwig (YouTube) and Dale Herigstad (Schematic). They set the tone of the conference and inspired researchers and designers to present their best work. Although there has always been some degree of interest in interactive TV, the field has been expanding in recent years due to the content-hungry consumer and recent shifts in video consumption on the internet. Research and industry have followed these trends, making conferences like the EuroITV series very popular in recent years. We also believe that several technology trends, IP Television (IPTV) and Internet TV, will drive even more activity in the field of interactive TV. IPTV uses IP networks to deliver TV services to consumers. Because it is IP-based, it is much easier for engineers to create interactive TV applications that connect to the Internet. Internet TV allows TV producers and viewers to directly distribute TV programming and video to consumers over the Internet, instead of traditional TV distribution. While the integration of these two video sources into consumer TV products increases the amount of content available to consumers, it also introduces new design challenges and paradigm shifts. The future forms of TV are hard to predict, but the fact that they will be more interactive than today's TV seems certain. The uxtv'08 conference is a leader in identifying and following these trends, thus developing a vision of the TV viewer of tomorrow.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.085 | 0.017 |
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".