Proceedings of the 15th international conference on Intelligent user interfaces
Notice bibliographique
Résumé
IUI has successfully established itself as a unique, interdisciplinary conference, at the intersection of Artificial Intelligence and Human-Computer Interaction. The Conference receives contributions from many traditional as well as hot topics in the field, ranging from Multimodal Interfaces and Recommender Systems, to Affective Computing and Brain-Computing Interfaces. Because of this ever-increasing diversity of topics, this edition has seen further changes to our reviewing process. We have introduced a rebuttal phase for Long Papers, following a trend adopted by several high-quality conferences. The objective of the rebuttal is to ensure greater transparency and fairness, as the authors' responses should influence the discussion phase moderated by a Senior Program Committee (SPC) member. In order to ensure that all topics were adequately covered over 200 reviewers have contributed to the selection of this year's program and we trust that this had a very positive impact on the relevance and quality of individual reviews. We have retained the successful format of the conference with Long Papers, Short Papers and Demonstrations. In addition, we have addressed the issue of conversion of Long Papers into Short Papers by explicitly requesting authors' approval at submission time. The accepted submissions cover a wide range of topics, including personalized information systems, intelligent user interaction for information search and browsing, affective computing, gesture-based systems, and multimodal user interfaces. Geographically, the accepted work also represents researchers and institutions in many countries across four continents, including China, Japan, Korea, Singapore, Canada, Netherlands, Ireland, France, Germany, Australia, New Zealand, United Kingdom, and the United States of America. As always, the selection process has been the object of careful consideration and multiple discussions. We have asked the SPC moderators to formulate recommendations for acceptance and in the vast majority of cases it has been straightforward for us to endorse their choice. It is always down to the Program Chairs to make final decisions, sometimes difficult ones, on the total number of papers to be accepted. We have adopted a continuity policy from previous editions (around 22% for Long Papers), this year's overall acceptance rate achieves the right balance between selectivity and openness to innovative papers. The conference program highlights two invited talks: Paul Sajda, from Columbia University and Kazuo Yano, from Hitachi's Advanced Research Laboratory. This year's Conference will also feature five full-day and one half-day workshops, covering several hot topics in the area of IUI, with strong emphasis on semantics, social aspects and multimodality of interfaces, including: Social Recommender Systems Intelligent Visual Interfaces for Text Analysis Multimodal Interfaces for Automotive Applications Interoperability and Interaction on the Social and Semantic Web Eye Gaze in Intelligent Human Machine Interaction Semantic Models for Adaptive Interactive Systems The demonstration program accepted fifteen regular submissions. We would like to thank Tyler Baldwin and Brian Romanowski for their help in organizing the demo session.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».