Proceedings of the 16th international conference on Intelligent user interfaces
Notice bibliographique
Résumé
It is our great pleasure to welcome you to the 2011 ACM International Conference on Intelligent User Interfaces -- IUI'11. Intelligent User Interfaces (IUI) is the premier conference for reporting on the study of user interfaces with intelligent devices. This topic is of increasing importance as the consumer is interfacing with a wide variety of devices with embedded computation and connectivity and the computer is fading into the background. IUI is where the community of people interested in Human-Computer Interaction (HCI) meets the Artificial Intelligence (AI) community. We have retained the successful format of the conference with Long Papers, Short Papers and Demonstrations. The accepted submissions cover a wide range of topics, including handheld devices, multimodal interfaces, social computing and navigation, intelligent help agents, input technologies, user modeling and personalization, intelligent authoring and information presentation, and pen-based interfaces. Geographically, the accepted work also represents researchers and institutions in many countries across four continents, including Argentina, Australia, Belgium, Canada, China, Denmark, Finland, France, Germany, Ireland, Israel, Italy, Japan, Korea, Netherlands, Pakistan, Spain, Switzerland, Thailand, United Kingdom, and the United States of America. As always, the selection process has been the object of careful consideration and multiple discussions. In order to ensure that all topics were adequately covered more than 150 experts 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 are grateful to the reviewers, the program committee and the senior program committee, who worked very hard in reviewing papers and providing feedback for authors. Following a trend adopted by several high-quality conferences, we had a rebuttal phase for Long Papers. We have asked the Senior PC moderators and the Demo Chair 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 contributions to be accepted. Out of 180 submissions, we selected 28 long papers, 36 short papers and 15 demo papers. We have adopted a continuity policy from previous editions (around 30% for Long Papers); this year's overall acceptance rate achieves the right balance between selectivity and openness to innovative papers. The conference program highlights three invited talks: Andrei Broder from Yahoo! Research, Eric Horvitz from Microsoft Research and Ken Perlin from New York University. We are also glad that we got Anthony Jameson from DFKI GmbH and Joseph Konstan from the University of Minnesota as tutorial speakers. This year's Conference also features ten workshops, covering several hot topics in the area of IUI, with strong emphasis on multimodality of interfaces, smart interaction and personalization including: Sketch recognition, Semantic Models for Adaptive Interactive Systems, Intelligent User Interfaces for Developing Regions, Context-Awareness in Retrieval and Recommendation, Multimodal Interfaces for Automotive Applications, Visual Interfaces to the Social and Semantic Web, Location-Awareness for Mixed and Dual Reality, Eye Gaze in Intelligent Human Machine Interaction, Interacting with Smart Objects and Personalized Access to Cultural Heritage.
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 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,007 | 0,005 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,120 | 0,076 |
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 ».