“No, I Won't Do That.” Assertive Behavior of Robots and its Perception by Children

IF 3.8 2区 计算机科学 Q2 ROBOTICS
Konrad Maj, Paulina Grzybowicz, Julia Kopeć
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Abstract

This paper contributes to the understanding of child-robot interaction through the investigation of child interactions with and anthropomorphization of humanoid robots when manipulating robot-related variables such as behavior and gender. In this study, children observe a robot demonstration in a classroom setting, during which the robot showcases either assertive or submissive behavior and is attributed a gender, either robot-female or robot-male. Afterwards, participant anthropomorphization is measured using the Attributed Mental States Questionnaire (AMS-Q). Results suggest that when prompted to select a response directed at the robot, children used significantly more commanding phrases when addressing the assertively behaving robot when compared to the submissively behaving robot. Further, younger children ages 7–9 anthropomorphize robots at a higher degree than older children 10–12 and assertive behavior from the robot lead to higher rates of anthropomorphization. Results also suggest that children are more likely to respond to female robots in an imperative way than male robots. This widened understanding of child perception of and interaction with humanoid robots can contribute to the design of acceptable robot interaction patterns in various settings.

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"不,我不会那么做"。机器人的自信行为及儿童对其的感知
本文通过研究儿童与仿人机器人的互动以及在操纵机器人相关变量(如行为和性别)时对仿人机器人的拟人化,加深了对儿童与机器人互动的理解。在这项研究中,儿童在教室里观看机器人演示,在此期间,机器人会表现出自信或顺从的行为,并被赋予一种性别,即机器人-女性或机器人-男性。之后,使用归因心理状态问卷(AMS-Q)对参与者的拟人化进行测量。结果表明,当被要求选择针对机器人的回答时,儿童在与表现自信的机器人对话时使用的命令短语明显多于表现顺从的机器人。此外,7-9 岁的低龄儿童比 10-12 岁的高龄儿童更容易将机器人拟人化,而机器人的自信行为会导致更高的拟人化率。研究结果还表明,与男性机器人相比,儿童更倾向于以命令的方式对女性机器人做出反应。扩大对儿童对仿人机器人的感知以及与之互动的了解,有助于在各种环境中设计可接受的机器人互动模式。
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
CiteScore
9.80
自引率
8.50%
发文量
95
期刊介绍: Social Robotics is the study of robots that are able to interact and communicate among themselves, with humans, and with the environment, within the social and cultural structure attached to its role. The journal covers a broad spectrum of topics related to the latest technologies, new research results and developments in the area of social robotics on all levels, from developments in core enabling technologies to system integration, aesthetic design, applications and social implications. It provides a platform for like-minded researchers to present their findings and latest developments in social robotics, covering relevant advances in engineering, computing, arts and social sciences. The journal publishes original, peer reviewed articles and contributions on innovative ideas and concepts, new discoveries and improvements, as well as novel applications, by leading researchers and developers regarding the latest fundamental advances in the core technologies that form the backbone of social robotics, distinguished developmental projects in the area, as well as seminal works in aesthetic design, ethics and philosophy, studies on social impact and influence, pertaining to social robotics.
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