“I know how you feel”

IF 0.9 4区心理学 Q3 COMMUNICATION

Interaction Studies Pub Date : 2022-10-20 DOI:10.1075/is.21019.and

Antonio Andriella, R. Huertas-García, Santiago Forgas-Coll, Carme, Torras, G. Alenyà

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引用次数: 2

Abstract

In this article, we aim to evaluate the role of robots’ personality-driven behavioural patterns on users’ intention to use in an entertainment scenario. Toward such a goal, we designed two personalities: one introverted with an empathic and self-comparative interaction style, and the other extroverted with a provocative and other-comparative interaction style. To evaluate the proposed technology acceptance model, we conducted an experiment (N = 209) at a public venue where users were requested to play a game with the support of the TIAGo robot. Our findings show that the robot personality affects the acceptance model and three relevant drivers: perceived enjoyment, perceived usefulness, and social influence. The extroverted robot was perceived as more useful than the introverted, and participants who interacted with it were faster at solving the game. On the other hand, the introverted robot was perceived as more enjoyable but less useful than the extroverted, and participants who interacted with it made fewer mistakes. Taken together, these findings support the importance of designing proper robot personalities in influencing users’ acceptance, featuring that a given style can elicit a different driver of acceptance.

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“我知道你的感受”

在这篇文章中，我们的目标是评估机器人的个性驱动的行为模式对用户在娱乐场景中使用机器人的意图的作用。为了实现这一目标，我们设计了两种性格:一种是具有移情和自我比较互动风格的内向性格，另一种是具有挑衅和他人比较互动风格的外向性格。为了评估所提出的技术接受模型，我们在公共场所进行了一项实验(N = 209)，要求用户在TIAGo机器人的支持下玩游戏。我们的研究结果表明，机器人的个性会影响接受模型和三个相关驱动因素:感知享受、感知有用性和社会影响力。外向的机器人被认为比内向的机器人更有用，与它互动的参与者解决问题的速度更快。另一方面，内向的机器人被认为比外向的机器人更令人愉快，但没有那么有用，与它互动的参与者犯的错误更少。综上所述，这些发现支持了设计合适的机器人个性在影响用户接受度方面的重要性，即给定的风格可以引发不同的接受度驱动因素。

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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来源期刊

Interaction Studies Multiple-

CiteScore

3.30

自引率

6.70%

发文量

期刊介绍： This international peer-reviewed journal aims to advance knowledge in the growing and strongly interdisciplinary area of Interaction Studies in biological and artificial systems. Understanding social behaviour and communication in biological and artificial systems requires knowledge of evolutionary, developmental and neurobiological aspects of social behaviour and communication; the embodied nature of interactions; origins and characteristics of social and narrative intelligence; perception, action and communication in the context of dynamic and social environments; social learning.