姓名,起源和语音口音在机器人种族认同中的作用
1School of Information Science, University of Kentucky, Lexington, KY 40506, USA.
Sensors (Basel, Switzerland)
|October 16, 2024
概括
用户准确地识别了Misty II机器人.
科学领域:
- 人与机器人的交互
- 社会机器人社会机器人社会机器人
- 人工智能伦理学 人工智能伦理学
背景情况:
- 社交机器人的设计影响用户的感知和互动.
- 了解用户如何将社交身份赋予机器人对于有效的人机接口至关重要.
研究的目的:
- 调查用户是否将民族身份赋予Misty II机器人.
- 确定语音口音,起源和名称对感知到的机器人种族的影响.
主要方法:
- 一个2x3内对象的研究是通过Misty II人形机器人进行的.
- 参与者根据声音 (男性/女性) 和口音 (中国人,美国人,墨西哥人) 来评估机器人的性别和种族身份.
主要成果:
- 用户使用社交线索准确地识别了机器人的性别和种族.
- 美国口音的机器人比墨西哥或中国口音的机器人更准确地被识别出来.
结论:
- 像语音口音这样的社会线索显著影响被感知到的机器人种族.
- 机器人设计必须考虑文化细微差别,以避免意外的种族归属,并确保用户接受.
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