Proceedings of the 27th annual ACM symposium on User interface software and technology
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,009 | 0,025 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,008 | 0,008 |
| Science ouverte | 0,003 | 0,004 |
| Intégrité de la recherche | 0,003 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,123 | 0,082 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».