人工智能表达性别,性别角色一致性和对自动驾驶汽车的信任
Qiaoning Zhang1, X Jessie Yang2, Lionel P Robert3,4
1Human Systems Engineering, Arizona State University, Mesa, AZ, USA. qiaoning@asu.edu.
Scientific reports
|May 10, 2025
概括
自动驾驶汽车 (AV) 声音中的性别相似性,当声音与社会性别角色保持一致时,会增加信任. 不一致的角色减少了这种增强信任的效果,影响了AV的接受度.
科学领域:
- 人与计算机的互动.
- 自动化车辆 (AV) 技术自动化车辆 (AV) 技术
- 社会心理学 社会心理学
背景情况:
- 人与自动驾驶汽车 (AV) 互动的研究主要研究听觉线索,忽视了语音特征对用户信任的影响.
- 社会刻板印象影响对性别角色的看法,可能会影响对自动化系统的信任.
研究的目的:
- 调查用户和AV声音之间的性别相似性如何影响信任.
- 检查基于社会刻板印象的性别角色一致性在塑造对AV的认知和情感信任方面的作用.
主要方法:
- 该研究探讨了性别相似性和性别角色一致性对用户对自动驾驶汽车的信任的影响.
- 分析的重点是这些因素如何相互作用以影响认知和情感信任.
主要成果:
- 性别角色一致性缓和了性别相似性和对AV的信任之间的关系.
- 当AV声音的性别与预期的角色一致时,性别相似性显著提高了认知和情感信任.
- 相反,当性别角色不一致时,性别相似性的建立信任效应会减少.
结论:
- 视频音响设计必须考虑性别,以有效地传达关键的驾驶信息,并建立用户的信任.
- 社会刻板印象在塑造用户对AV技术的信任和接受方面发挥着重要作用.
- 未来的自动驾驶系统应该开发以避免加强社会偏见,促进公平的用户体验.
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