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机器人的种族身份认同中名字、出身地和语音口音的作用。

The Role of Name, Origin, and Voice Accent in a Robot's Ethnic Identity.

机构信息

School of Information Science, University of Kentucky, Lexington, KY 40506, USA.

出版信息

Sensors (Basel). 2024 Oct 4;24(19):6421. doi: 10.3390/s24196421.

Abstract

This paper presents the results of an experiment that was designed to explore whether users assigned an ethnic identity to the Misty II robot based on the robot's voice accent, place of origin, and given name. To explore this topic a 2 × 3 within subject study was run which consisted of a humanoid robot speaking with a male or female gendered voice and using three different voice accents (Chinese, American, Mexican). Using participants who identified as American, the results indicated that users were able to identify the gender and ethnic identity of the Misty II robot with a high degree of accuracy based on a minimum set of social cues. However, the version of Misty II presenting with an American ethnicity was more accurately identified than a robot presenting with cues signaling a Mexican or Chinese ethnicity. Implications of the results for the design of human-robot interfaces are discussed.

摘要

本文介绍了一项实验的结果,该实验旨在探索用户是否会根据机器人的语音口音、原籍国和名字来赋予 Misty II 机器人种族身份。为了探索这个主题,进行了一项 2×3 的被试内研究,其中包括一个人形机器人使用男性或女性的声音,并使用三种不同的口音(中文、美国、墨西哥)。使用自认为是美国人的参与者,结果表明,用户能够根据最少的社会线索高度准确地识别 Misty II 机器人的性别和种族身份。然而,带有美国种族身份的 Misty II 版本比带有表示墨西哥或中国种族身份的机器人更准确地被识别。讨论了这些结果对人机界面设计的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35d4/11479309/06d4ee655da8/sensors-24-06421-g001.jpg

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