Learning in Motion: Dynamic Interactions for Increased Trust in Human-Robot Interaction Games

被引:0
|
作者
Ye, Sean [1 ]
Feigh, Karen [1 ]
Howard, Ayanna [1 ]
机构
[1] Georgia Inst Technol, Atlanta, GA 30332 USA
关键词
AUTOMATION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Embodiment of actions and tasks has typically been analyzed from the robot's perspective where the robot's embodiment helps develop and maintain trust. However, we ask a similar question looking at the interaction from the human perspective. Embodied cognition has been shown in the cognitive science literature to produce increased social empathy and cooperation. To understand how human embodiment can help develop and increase trust in human-robot interactions, we created conducted a study where participants were tasked with memorizing greek letters associated with dance motions with the help of a humanoid robot. Participants either performed the dance motion or utilized a touch screen during the interaction. The results showed that participants' trust in the robot increased at a higher rate during human embodiment of motions as opposed to utilizing a touch screen device.
引用
收藏
页码:1186 / 1189
页数:4
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