Gender and accent stereotypes in communication with an intelligent virtual assistant

IF 5.3 2区计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS International Journal of Human-Computer Studies Pub Date : 2024-11-21 DOI:10.1016/j.ijhcs.2024.103407

Cameron W. Piercy , Gretchen Montgomery-Vestecka , Sun Kyong Lee

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Abstract

People are using intelligent virtual assistants (IVAs) more than ever before. Today's IVAs can be customized with unique voices including both gender and accent cues. Following evidence that people treat others differently based on their gender and accent, we ask: How do gender and accent of Siri, an IVA, affect users' trust? Students from two institutions (N = 270) participated in a two (Siri's voice gender: male or female) by two (Siri's voice accent: American or Indian) by two (task type: social or functional) fully crossed experiment, including a supplemental quasi-experimental condition for gender match between participants’ and Siri's voice. Results show little effect for gender or accent alone, but the functional tasks condition received higher ratings in reliability, understandability, and faith dimensions of trust. Interactions reveal nuanced effects regarding gender match and varying across accent types. Implications for human-machine communication, in particular differences between human-human and human-machine interaction scripts are presented.

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与智能虚拟助手交流时的性别和口音刻板印象

人们比以往任何时候都更多地使用智能虚拟助手（IVAs）。如今的IVAs可以定制独特的声音，包括性别和口音提示。有证据表明，人们会根据性别和口音区别对待他人，我们想问：IVA Siri的性别和口音如何影响用户的信任？来自两所院校（N = 270）的学生参加了一个二（Siri语音性别：男性或女性）二（Siri语音口音：美国或印度）二（任务类型：社交或功能）全交叉实验，包括一个补充的准实验条件，即参与者与Siri语音性别匹配。结果显示，性别和口音因素对信任的影响不大，但功能任务条件在信任的可靠性、可理解性和信念维度上有较高的评价。互动揭示了性别匹配和口音类型差异的微妙影响。介绍了人机通信的含义，特别是人机交互脚本和人机交互脚本之间的差异。

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来源期刊

International Journal of Human-Computer Studies 工程技术-计算机：控制论

CiteScore

11.50

自引率

5.60%

发文量

108

审稿时长

3 months

期刊介绍： The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities. Research areas relevant to the journal include, but are not limited to: • Innovative interaction techniques • Multimodal interaction • Speech interaction • Graphic interaction • Natural language interaction • Interaction in mobile and embedded systems • Interface design and evaluation methodologies • Design and evaluation of innovative interactive systems • User interface prototyping and management systems • Ubiquitous computing • Wearable computers • Pervasive computing • Affective computing • Empirical studies of user behaviour • Empirical studies of programming and software engineering • Computer supported cooperative work • Computer mediated communication • Virtual reality • Mixed and augmented Reality • Intelligent user interfaces • Presence ...