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Investigating Reward/Punishment Strategies in the Persuasiveness of Social Robots*

机译:在社交机器人的说服力中研究奖励/惩罚策略*

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摘要

This paper presents the results of a user study designed to investigate social robots’ persuasiveness. In the design, the robot attempts to persuade users in two different conditions comparing to a control condition. In one condition, the robot aims at persuading users by giving them a reward. In the second condition, the robot tries to persuade by punishing users. The results indicated that the robot succeeded to persuade the users to select a less-desirable choice comparing to a better one. However, no difference was found in the perception of the robot’s warmth nor discomfort, comparing the two strategies. The results suggest that social robots are capable of persuading users objectively, but further investigation is required to investigate persuasion subjectively.
机译:本文介绍了一项旨在调查社交机器人的说服力的用户研究结果。在设计中,与控制条件相比,机器人试图在两种不同的条件下说服用户。在一种情况下,机器人旨在通过奖励用户来说服用户。在第二种情况下,机器人试图通过惩罚用户来说服。结果表明,相比于更好的机器人,该机器人成功地说服了用户选择了一个不太理想的选择。但是,比较这两种策略,对机器人的温暖感和不适感没有发现差异。结果表明,社交机器人能够客观地说服用户,但是需要进行进一步的调查才能主观地研究说服力。

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