Designing Emotionally Expressive Robots
Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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Designing Emotionally Expressive Robots. / Tsiourti, Christiana; Weiss, Astrid; Wac, Katarzyna; Vincze, Markus.
Proceedings of the 5th International Conference on Human Agent Interaction - HAI '17. New York : ACM Press/Addison-Wesley, 2017. p. 213-222 (Proceedings of the 5th International Conference on Human Agent Interaction - HAI '17).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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TY - CHAP
T1 - Designing Emotionally Expressive Robots
AU - Tsiourti, Christiana
AU - Weiss, Astrid
AU - Wac, Katarzyna
AU - Vincze, Markus
PY - 2017
Y1 - 2017
N2 - Socially assistive agents, be it virtual avatars or robots, need to engage in social interactions with humans and express their internal emotional states, goals, and desires. In this work, we conducted a comparative study to investigate how humans perceive emotional cues expressed by humanoid robots through five communication modalities (face, head, body, voice, locomotion) and examined whether the degree of a robot's human-like embodiment affects this perception. In an online survey, we asked people to identify emotions communicated by Pepper -a highly human-like robot and Hobbit – a robot with abstract humanlike features. A qualitative and quantitative data analysis confirmed the expressive power of the face, but also demonstrated that body expressions or even simple head and locomotion movements could convey emotional information. These findings suggest that emotion recognition accuracy varies as a function of the modality, and a higher degree of anthropomorphism does not necessarily lead to a higher level of recognition accuracy. Our results further the understanding of how people respond to single communication modalities and have implications for designing recognizable multimodal expressions for robots.
AB - Socially assistive agents, be it virtual avatars or robots, need to engage in social interactions with humans and express their internal emotional states, goals, and desires. In this work, we conducted a comparative study to investigate how humans perceive emotional cues expressed by humanoid robots through five communication modalities (face, head, body, voice, locomotion) and examined whether the degree of a robot's human-like embodiment affects this perception. In an online survey, we asked people to identify emotions communicated by Pepper -a highly human-like robot and Hobbit – a robot with abstract humanlike features. A qualitative and quantitative data analysis confirmed the expressive power of the face, but also demonstrated that body expressions or even simple head and locomotion movements could convey emotional information. These findings suggest that emotion recognition accuracy varies as a function of the modality, and a higher degree of anthropomorphism does not necessarily lead to a higher level of recognition accuracy. Our results further the understanding of how people respond to single communication modalities and have implications for designing recognizable multimodal expressions for robots.
U2 - 10.1145/3125739.3125744
DO - 10.1145/3125739.3125744
M3 - Book chapter
SN - 9781450351133
T3 - Proceedings of the 5th International Conference on Human Agent Interaction - HAI '17
SP - 213
EP - 222
BT - Proceedings of the 5th International Conference on Human Agent Interaction - HAI '17
PB - ACM Press/Addison-Wesley
CY - New York
ER -
ID: 193153334