Proceedings of the 21st International Conference on Intelligent User Interfaces
Notice bibliographique
Résumé
It is with great pleasure that we welcome you to beautiful Sonoma, California and the 21st edition of ACM International Conference on Intelligent User Interfaces -- ACM IUI 2016. ACM IUI is HCI meets AI, or where the academic research communities of Human-Computer Interaction (HCI) and Artificial Intelligence (AI) intersect. As the premier international forum for reporting outstanding research and development on intelligent user interfaces, the conference welcomes submissions describing work at the cross-section of these two fields and other related fields, such as psychology, behavioral science, cognitive science, computer graphics, design, the arts, and many others. Members of the ACM IUI community are interested in improving the symbiosis between humans and computers, increasing the intelligence of both in the process. The call for papers attracted 194 long and short paper submissions, 31 poster paper submissions, 11 demo paper submissions, and 17 student consortium submissions. The final program of the conference includes 2 keynotes, 49 long and short papers (25.3% acceptance rate), 15 posters, 6 demos, 2 workshops, 1 tutorial, and 12 student consortium papers. We are particularly excited for the keynotes by two distinguished speakers that will open the first and third days of the conference. The opening keynote will be given by Xavier Amatriain, VP of Engineering at Quora, on the topic of the Past, Present, and Future of Recommender Systems: An Industry Perspective. The closing keynote will be given by Professor Elisabeth Andre, from Augsburg University and a long-time member of the ACM IUI community, on the topic of Socially-Sensitive Interfaces: From Offline Studies to Interactive Experiences. The conference could not be organized without the help of a large number of individuals who generously volunteered much of their own time. Their names can be found on the following pages. All of the members of the organizing committee have done a fantastic job of coordinating the many moving parts that go into putting on a great conference. We must also particularly thank our 34 senior program committee members for coordinating the papers review process and the 91 members of the program committee for providing high quality reviews. And, most important, we must thank the authors for their diligent work that resulted in so many great submissions. These have allowed us to develop the excellent program that is the enduring heart of the conference. Another key for any great conference is a collection of strong sponsor organizations and generous corporate supporters. Our sponsors ACM, SIGAI, and SIGCHI are instrumental in making the conference happen year in and year out. This year, SIGCHI and SIGAI were particularly generous in providing financial support for our student travel grants, which have enabled 19 students to attend the conference that might not have otherwise. Our corporate supporters, Microsoft, IBM, Google, and Tableau have been supremely generous and the conference would be weaker without their contributions. We hope you will find the program engaging and the mix of academic disciplines broadens your perspective on computing. We also hope the conference will provide you with a valuable opportunity to share ideas with other researchers and practitioners from around the world, whether through presenting your own work formally or through informal discussions during the banquet or coffee breaks. With luck, those shared ideas will manifest themselves in exciting papers at next year's conference and ultimately have impact far beyond the conference! If you have any suggestions for how to improve the conference either this year or in the future, please do not hesitate to let us know.
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 | 0,003 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,007 | 0,006 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,003 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,134 | 0,068 |
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 ».