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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2023
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2308.11786 |
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| _version_ | 1866913582910799872 |
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| author | Westby, Samuel Radke, Richard J. Riedl, Christoph Welles, Brooke Foucault |
| author_facet | Westby, Samuel Radke, Richard J. Riedl, Christoph Welles, Brooke Foucault |
| contents | Voice assistants are increasingly prevalent, from personal devices to team environments. This study explores how voice type and contribution quality influence human-agent team performance and perceptions of anthropomorphism, animacy, intelligence, and trustworthiness. By manipulating both, we reveal mechanisms of perception and clarify ambiguity in previous work. Our results show that the human resemblance of a voice assistant's voice negatively interacts with the helpfulness of an agent's contribution to flip its effect on perceived anthropomorphism and perceived animacy. This means human teammates interpret the agent's contributions differently depending on its voice. Our study found no significant effect of voice on perceived intelligence, trustworthiness, or team performance. We find differences in these measures are caused by manipulating the helpfulness of an agent. These findings suggest that function matters more than form when designing agents for high-performing human-agent teams, but controlling perceptions of anthropomorphism and animacy can be unpredictable even with high human resemblance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2308_11786 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | How Voice and Helpfulness Shape Perceptions in Human-Agent Teams Westby, Samuel Radke, Richard J. Riedl, Christoph Welles, Brooke Foucault Human-Computer Interaction Voice assistants are increasingly prevalent, from personal devices to team environments. This study explores how voice type and contribution quality influence human-agent team performance and perceptions of anthropomorphism, animacy, intelligence, and trustworthiness. By manipulating both, we reveal mechanisms of perception and clarify ambiguity in previous work. Our results show that the human resemblance of a voice assistant's voice negatively interacts with the helpfulness of an agent's contribution to flip its effect on perceived anthropomorphism and perceived animacy. This means human teammates interpret the agent's contributions differently depending on its voice. Our study found no significant effect of voice on perceived intelligence, trustworthiness, or team performance. We find differences in these measures are caused by manipulating the helpfulness of an agent. These findings suggest that function matters more than form when designing agents for high-performing human-agent teams, but controlling perceptions of anthropomorphism and animacy can be unpredictable even with high human resemblance. |
| title | How Voice and Helpfulness Shape Perceptions in Human-Agent Teams |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2308.11786 |