Datum
2024-04-04Schlagwort
004 Informatik 600 Technik VerhaltenMensch-Maschine-KommunikationDatenAffective ComputingRobotikMetadata
Zur Langanzeige
Aufsatz
Physiological data for affective computing in HRI with anthropomorphic service robots: the AFFECT-HRI data set
Zusammenfassung
In human-human and human-robot interaction, the counterpart influences the human’s affective state. Contrary to humans, robots inherently cannot respond empathically, meaning non-beneficial affective reactions cannot be mitigated. Thus, to create a responsible and empathetic human-robot interaction (HRI), involving anthropomorphic service robots, the effect of robot behavior on human affect in HRI must be understood. To contribute to this understanding, we provide the new comprehensive data set AFFECT-HRI, including, for the first time, physiological data labeled with human affect (i.e., emotions and mood) gathered from a conducted HRI study. Within the study, 146 participants interacted with an anthropomorphic service robot in a realistic and complex retail scenario. The participants’ questionnaire ratings regarding affect, demographics, and socio-technical ratings are provided in the data set. Five different conditions (i.e., neutral, transparency, liability, moral, and immoral) were considered during the study, eliciting different affective reactions and allowing interdisciplinary investigations (e.g., computer science, law, and psychology). Each condition includes three scenes: a consultation regarding products, a request for sensitive personal information, and a handover.
Zitierform
In: Scientific Data Volume 11 (2024-04-04) eissn:2052-4463Förderhinweis
Gefördert im Rahmen des Projekts DEALZitieren
@article{doi:10.17170/kobra-2024082710726,
author={Heinisch, Judith Simone and Kirchoff, Jérôme and Busch, Philip and Wendt, Janine and von Stryk, Oskar and David, Klaus},
title={Physiological data for affective computing in HRI with anthropomorphic service robots: the AFFECT-HRI data set},
journal={Scientific Data},
year={2024}
}
0500 Oax 0501 Text $btxt$2rdacontent 0502 Computermedien $bc$2rdacarrier 1100 2024$n2024 1500 1/eng 2050 ##0##http://hdl.handle.net/123456789/16012 3000 Heinisch, Judith Simone 3010 Kirchoff, Jérôme 3010 Busch, Philip 3010 Wendt, Janine 3010 von Stryk, Oskar 3010 David, Klaus 4000 Physiological data for affective computing in HRI with anthropomorphic service robots: the AFFECT-HRI data set / Heinisch, Judith Simone 4030 4060 Online-Ressource 4085 ##0##=u http://nbn-resolving.de/http://hdl.handle.net/123456789/16012=x R 4204 \$dAufsatz 4170 5550 {{Verhalten}} 5550 {{Mensch-Maschine-Kommunikation}} 5550 {{Daten}} 5550 {{Affective Computing}} 5550 {{Robotik}} 7136 ##0##http://hdl.handle.net/123456789/16012
2024-09-02T11:29:04Z 2024-09-02T11:29:04Z 2024-04-04 doi:10.17170/kobra-2024082710726 http://hdl.handle.net/123456789/16012 Gefördert im Rahmen des Projekts DEAL eng Namensnennung 4.0 International http://creativecommons.org/licenses/by/4.0/ human behaviour scientific data 004 600 Physiological data for affective computing in HRI with anthropomorphic service robots: the AFFECT-HRI data set Aufsatz In human-human and human-robot interaction, the counterpart influences the human’s affective state. Contrary to humans, robots inherently cannot respond empathically, meaning non-beneficial affective reactions cannot be mitigated. Thus, to create a responsible and empathetic human-robot interaction (HRI), involving anthropomorphic service robots, the effect of robot behavior on human affect in HRI must be understood. To contribute to this understanding, we provide the new comprehensive data set AFFECT-HRI, including, for the first time, physiological data labeled with human affect (i.e., emotions and mood) gathered from a conducted HRI study. Within the study, 146 participants interacted with an anthropomorphic service robot in a realistic and complex retail scenario. The participants’ questionnaire ratings regarding affect, demographics, and socio-technical ratings are provided in the data set. Five different conditions (i.e., neutral, transparency, liability, moral, and immoral) were considered during the study, eliciting different affective reactions and allowing interdisciplinary investigations (e.g., computer science, law, and psychology). Each condition includes three scenes: a consultation regarding products, a request for sensitive personal information, and a handover. open access Heinisch, Judith Simone Kirchoff, Jérôme Busch, Philip Wendt, Janine von Stryk, Oskar David, Klaus doi:10.1038/s41597-024-03128-z Verhalten Mensch-Maschine-Kommunikation Daten Affective Computing Robotik publishedVersion eissn:2052-4463 Scientific Data Volume 11 false 333
Die folgenden Lizenzbestimmungen sind mit dieser Ressource verbunden: