Exploring Theory of Mind for Human-Robot Collaboration
Exploring Theory of Mind for Human-Robot Collaboration
复制标题
探索人机协作的心理理论
DOI:
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复制
发表时间:
2022
期刊:
影响因子:
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通讯作者:
Helen F. Hastie
中科院分区:
文献类型:
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作者:
M. Romeo;Peter E. McKenna;D. A. Robb;Gnanathusharan Rajendran;Birthe Nesset;A. Cangelosi;Helen F. Hastie
The ability to impute mental states to oneself or others, or Theory of Mind (ToM), has been intrinsically linked to trust between humans. However, less is known about how a robot mimicking ToM affects users’ trust and behaviour. We explore this through an online study, where we compare three robot personas in a cooperative maze navigation task: one neutral, one that explains its reasoning in technical terms, and one that mimics ToM. We show that ToM influences human decision-making behaviour and trust in a way that makes it more appropriate with respect to the competencies of the robot. This is key for human-robot collaboration and adoption of robotics moving forward.
DOI:
10.1109/ro-man46459.2019.8956467
发表时间:
2019
期刊:
International Symposium on Robot and Human Interactive Communication (RO-MAN
影响因子:
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作者:
Sturgeon, Stephanie;Palmer, Andrew;Blankenburg, Janelle;Feil-Seifer, David
通讯作者:
Feil-Seifer, David
DOI:
10.1109/hri.2019.8673154
发表时间:
2019
期刊:
2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI
影响因子:
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作者:
Ullman, Daniel;Malle, Bertram F.
通讯作者:
Malle, Bertram F.