The eHRI database: a multimodal database of engagement in human–robot interactions.
We present the engagement in human–robot interaction (eHRI) database containing natural interactions between two human participants and a robot under a story-shaping game scenario. The audio-visual recordings provided with the database are fully annotated at a 5-intensity scale for head nods and smi...
| Publicado en: | Language Resources & Evaluation Vol. 57; no. 3; pp. 985 - 1010 |
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| Autores principales: | , , , , , , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Sep2023
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=170029262&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 170029262 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Sep2023 vid: 57 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 170029262 10.1007/s10579-022-09632-1 ppf: 985 ppct: 25 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.7MB tig: atl: The eHRI database: a multimodal database of engagement in human–robot interactions. aug: au: Kesim, Ege Numanoglu, Tugce Bayramoglu, Oyku Turker, Bekir Berker Hussain, Nusrah Sezgin, Metin Yemez, Yucel Erzin, Engin affil: KUIS-AI Laboratory, Multimedia, Vision and Graphics Group, College of Engineering, Koç University, Istanbul, Turkey su: Human-robot interaction Databases Transcription (Linguistics) Job involvement sug: subj: Human-robot interaction Databases Transcription (Linguistics) Job involvement keyword: Engagement Gesture Human–robot interaction Multimodal data ab: We present the engagement in human–robot interaction (eHRI) database containing natural interactions between two human participants and a robot under a story-shaping game scenario. The audio-visual recordings provided with the database are fully annotated at a 5-intensity scale for head nods and smiles, as well as with speech transcription and continuous engagement values. In addition, we present baseline results for the smile and head nod detection along with a real-time multimodal engagement monitoring system. We believe that the eHRI database will serve as a novel asset for research in affective human–robot interaction by providing raw data, annotations, and baseline results. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2023. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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