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可信的机器人赞美:辨别力强且基于事实的机器人赞美可以增加信任、使用意愿和满意度

Believable Robot Compliments: discerning and grounded robot compliments increase trust, intention to use, and satisfaction
Masaharu Naito、Daniel J. Rea、Takayuki Kanda · ACM Transactions on Human-Robot Interaction · 2026-11-03

研究信息

期刊 / 来源
ACM Transactions on Human-Robot Interaction
发表日期
2026-11-03
文献库
OpenAlex
作者
Masaharu Naito, Daniel J. Rea, Takayuki Kanda
DOI
10.1145/3861078
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英文原文摘要全文

We investigate the effects of three different methods for robot compliments: simple compliments, discerning to use simple compliments or not, and discerning compliments with grounded explanations. Robots in customer service positions will need to not only complete functional tasks but also be able to give subjective opinions, such as compliments. There are many factors that contribute to a compliment being effective, and the perception of the compliment is important for building positive rapport. We compare three strategies for robot compliments by building a system that evaluates the suitabil

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