A model for nonverbal interaction cues in collaborative virtual environments
Abstract People’s social interaction is a complex process that involves our verbal and nonverbal behavior. In collaborative virtual environments (CVEs) technologies, interaction is achieved employing a graphical representation, namely avatar. In this primarily visual media, interactions are constrai...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Peña Pérez Negrón, Adriana [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag London Ltd., part of Springer Nature 2019 |
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| Übergeordnetes Werk: |
Enthalten in: Virtual reality - Springer London, 1995, 24(2019), 4 vom: 21. Dez., Seite 605-618 |
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| Übergeordnetes Werk: |
volume:24 ; year:2019 ; number:4 ; day:21 ; month:12 ; pages:605-618 |
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| DOI / URN: |
10.1007/s10055-019-00421-w |
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| 520 | |a Abstract People’s social interaction is a complex process that involves our verbal and nonverbal behavior. In collaborative virtual environments (CVEs) technologies, interaction is achieved employing a graphical representation, namely avatar. In this primarily visual media, interactions are constrained by the available possibilities linked to technical and design issues. The focus of this work is the automatic analysis of collaborative interaction among actors in CVEs, based on basic action units of study. For that, a designed domain ontology to establish the basis for the definition and automation of nonverbal interaction cues is presented. Also, for the analysis of collaboration, a structure to infer higher indicators through individual interaction cues was developed. Finally, a case of study applying this proposal is presented. | ||
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Abstract People’s social interaction is a complex process that involves our verbal and nonverbal behavior. In collaborative virtual environments (CVEs) technologies, interaction is achieved employing a graphical representation, namely avatar. In this primarily visual media, interactions are constrained by the available possibilities linked to technical and design issues. The focus of this work is the automatic analysis of collaborative interaction among actors in CVEs, based on basic action units of study. For that, a designed domain ontology to establish the basis for the definition and automation of nonverbal interaction cues is presented. Also, for the analysis of collaboration, a structure to infer higher indicators through individual interaction cues was developed. Finally, a case of study applying this proposal is presented. © Springer-Verlag London Ltd., part of Springer Nature 2019 |
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Abstract People’s social interaction is a complex process that involves our verbal and nonverbal behavior. In collaborative virtual environments (CVEs) technologies, interaction is achieved employing a graphical representation, namely avatar. In this primarily visual media, interactions are constrained by the available possibilities linked to technical and design issues. The focus of this work is the automatic analysis of collaborative interaction among actors in CVEs, based on basic action units of study. For that, a designed domain ontology to establish the basis for the definition and automation of nonverbal interaction cues is presented. Also, for the analysis of collaboration, a structure to infer higher indicators through individual interaction cues was developed. Finally, a case of study applying this proposal is presented. © Springer-Verlag London Ltd., part of Springer Nature 2019 |
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Abstract People’s social interaction is a complex process that involves our verbal and nonverbal behavior. In collaborative virtual environments (CVEs) technologies, interaction is achieved employing a graphical representation, namely avatar. In this primarily visual media, interactions are constrained by the available possibilities linked to technical and design issues. The focus of this work is the automatic analysis of collaborative interaction among actors in CVEs, based on basic action units of study. For that, a designed domain ontology to establish the basis for the definition and automation of nonverbal interaction cues is presented. Also, for the analysis of collaboration, a structure to infer higher indicators through individual interaction cues was developed. Finally, a case of study applying this proposal is presented. © Springer-Verlag London Ltd., part of Springer Nature 2019 |
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10.1007/s10055-019-00421-w |
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2024-07-04T02:53:11.092Z |
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