对机器人的消极态度因机器人的职业而异

Junyi Shen, Guyue Tang, Shinichi Koyama
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引用次数: 0

摘要

“对机器人的消极态度尺度”(NARS)在人机交互领域得到了广泛的应用。然而,在研究对机器人的负面态度时,机器人的各种职业和角色并没有被讨论。本研究探讨机器人的职业是否会影响人们对机器人的负面态度。两种可能被广泛使用的机器人首次被用于与nars相关的研究。我们进行了在线问卷调查,涵盖了三个独立的部分:对机器人的负面态度,对服务机器人的负面态度,以及对安全机器人的负面态度。这项在线调查收集了114名参与者(54名女性和60名男性)的数据,结果显示,人们对服务机器人的负面态度与对机器人或安保机器人的负面态度的得分存在差异。人们对服务机器人的负面态度最低。对机器人和安保机器人的负面态度之间没有显著差异。本研究支持了人们对不同类型的机器人在职业划分上表现出不同程度的负面态度的假设。这些结果为机器人工业中各种职业机器人的研究和设计提供了有益的指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Negative attitudes towards robots vary by the occupation of robots
The "negative attitudes towards robots scale" (NARS) has been widely applied in the field of robot-human interaction. However, the various occupations and roles of robots have not been discussed when studying negative attitudes towards robots. This study explores whether the occupation of robots could influence people's negative attitudes towards them. For the first time, two types of robots that may be widely used were used in a NARS-related study. We conducted online questionnaire research, covering three separate parts: negative attitudes towards robots, negative attitudes towards service robots, and negative attitudes towards security robots. The results of the online survey collected from 114 participants (54 females and 60 males) highlighted differences among the scores of people's negative attitudes towards service robots and the negative attitudes towards robots or security robots. People showed the lowest negative attitudes towards service robots. There were no significant differences between the negative attitudes towards robots and security robots. This study supports the hypothesis that people show different levels of negative attitudes towards different types of robots in terms of occupational division. These results provide a helpful indicator for the study and design of robots in various occupations in the robotics industry.
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