Proceedings of the adjunct publication of the 27th annual ACM symposium on User interface software and technology
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
It is our pleasure to welcome you to the 27th Annual ACM Symposium on User Interface Software and Technology (UIST), held from October 5-8th 2014, in Honolulu, Hawaii, USA. UIST is the premier forum for the presentation of research innovations in the software and technology of human-computer interfaces. Sponsored by ACM's special interest groups on computer-human interaction (SIGCHI) and computer graphics (SIGGRAPH), UIST brings together researchers and practitioners from many areas, including web and graphical interfaces, input and output devices, information visualization, sensing technologies, interactive displays, tabletop and tangible computing, interaction techniques, augmented and virtual reality, ubiquitous computing, fabrication, wearable and mobile computing, and computer supported cooperative work. UIST 2014 received a record 333 technical paper submissions from 34 countries. After a thorough review process, the 36-member program committee accepted 74 papers (22.2%). Each anonymous submission was first reviewed by three external reviewers, and a meta-review was provided by a program committee member. If any of the four reviewers deemed a submission to pass a rejection threshold, we asked the authors to submit a short rebuttal addressing the reviewers' concerns, and a second member of the program committee was asked to examine the paper, rebuttal, and reviews, and to provide their own meta-review. The program committee met in person in Toronto, Ontario, Canada on June 19th and 20th, 2014, to select which papers to invite for the program. Submissions were accepted only after the authors provided a final revision addressing the committee's comments. In addition to papers submitted directly, the symposium program includes two papers from the ACM Transactions on Computer-Human Interaction journal (TOCHI), as well as 31 posters, 48 demonstrations, and 8 student presentations in the tenth annual Doctoral Symposium. Our program also features the sixth annual Student Innovation Contest. This year, there are 24 teams taking part in the contest, which is focused on household interfaces based on the Kinoma Create platform by Marvell. UIST 2014 will feature two keynote presentations. The opening keynote will be given by Mark Bolas (University of Southern California) on designing the user in the user interface. Bret Victor will deliver the closing keynote on the impact of dynamic media on representation of thought. Our community has been growing tremendously both in the number of submissions as well as attendees. For the first time, this year's program will be held in two parallel tracks. We hope that you will find our program interesting and thought-provoking and that UIST 2014 will provide you with a valuable opportunity to exchange results at the cutting edge of user interfaces research, to meet friends and colleagues, and to forge future collaborations with other researchers and practitioners from institutions around the world.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it