Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
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Notice bibliographique
Résumé
It is our great pleasure to welcome you to the Ninth Annual ACM/IEEE International Conference on Human-Robot Interaction. HRI 2014 is a highly selective conference that aims to showcase the very best interdisciplinary and multidisciplinary research in human-robot interaction with roots in robotics, social psychology, cognitive science, HCI, human factors, artificial intelligence, design, engineering, and many more. We invite broad participation and encourage discussion and sharing of ideas across a diverse audience. Robotics is growing increasingly multidisciplinary as it moves towards realizing capable and collaborative robots that are studied in both laboratory and real world settings. Concurrent development of technical, social, and designed aspects of systems, with a concern for how they will improve the world, is needed. This year's theme "(E)Merging Perspectives" seeks to combine both user and system perspectives to advance new and possibly unorthodox methodologies. To extend the current singular approaches, our program demonstrates the usage of novel empirical methods, the integration of empirical findings into complex robot systems, and holistic approaches in system evaluation. The call for papers attracted 132 submissions from Asia, Canada, Europe, Africa, and the United States. Full Papers submitted to the conference were thoroughly reviewed and discussed. The process utilized a rebuttal process and a worldwide team of dedicated, interdisciplinary reviewers. This year's conference continues the tradition of selectivity, the program committee selected 32 of the submissions (24%). Due to the joint sponsorship of ACM and IEEE, papers are archived in both the ACM Digital Library and IEEE Xplore. For the second year, the conference also features papers from a journal special issue. Six papers were accepted for the Journal of Human-Robot Interaction's special issue on Design, and will be presented throughout the conference program. Accompanying the full papers are the Late Breaking Reports, Videos, and Demos. For the LBR, 109 of 127 two-page papers were accepted and will be presented at the conference poster session. 14 short videos were accepted and will be presented during the video session, and we have 7 demos of robot systems for all participants to be able to interact with during the conference. Rounding out the program are three keynote speakers who will discuss topics relevant to HRI: Dr. Maja Mataric, Dr. Maja Pantic, and Dr. Helge Ritter.
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.
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 | 0,001 | 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 | 0,005 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,003 |
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 découle