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

Mojgan Hashemian, Marta Couto, S. Mascarenhas, A. Paiva, P. A. Santos, R. Prada
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引用次数: 3

Abstract

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.
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社交机器人说服力的奖惩策略研究*
本文提出了一项用户研究的结果,旨在调查社交机器人的说服力。在设计中,机器人试图在两种不同的条件下说服用户,与控制条件相比。在一种情况下,机器人的目标是通过给用户奖励来说服他们。在第二种情况下,机器人试图通过惩罚用户来说服用户。结果表明,机器人成功地说服用户选择较不理想的选择,而不是更好的选择。然而,比较这两种策略,在感知机器人的温暖和不适方面没有发现差异。研究结果表明,社交机器人在客观上具有说服用户的能力,但在主观上对说服的研究还需要进一步的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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