Demographics do not matter?: Exploring the impact of gender and ethnicity on users’ identification with AI-generated personas

IF 5.3 2区计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS

International Journal of Human-Computer Studies Pub Date : 2025-05-21 DOI:10.1016/j.ijhcs.2025.103548

Kaate Ilkka , Salminen Joni , Jung Soon-Gyo , Santos João , Aldous Kholoud , Häyhänen Essi , Azem Jinan , Bernard J. Jansen

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引用次数: 0

Abstract

Demographics are considered foundational information in most persona profiles. However, the effect of persona ethnicity and gender on designers’ identification with the persona has limited evaluation in the human-computer interaction literature. We conducted a study with 64 professional designers from the United States, Indian, Korean, and Mexican nationalities to investigate the effects of AI-generated persona ethnicity and gender on persona identification. The personas were created using Generative AI in the persona narratives and the persona video creation. The contribution of this work is that, against assumptions, neither persona ethnicity nor gender play a major role in persona identification among designers with different ethnic backgrounds. While there were some insinuations of ethnicity and gender in the open-ended feedback from the designers, the emergent qualitative themes describing persona identification were overwhelmingly universal and applicable regardless of ethnicity or gender. This implies that professional designers can effectively use personas with different demographic backgrounds, and effects of demographic attributes in personas leading to stereotyping are less impactful than presumed.

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人口统计数据不重要？：探讨性别和种族对用户对人工智能生成的人物角色的认同的影响

在大多数角色配置文件中，人口统计数据被认为是基础信息。然而，角色种族和性别对设计师角色认同的影响在人机交互文献中评价有限。我们对来自美国、印度、韩国和墨西哥的64名专业设计师进行了一项研究，以调查人工智能生成的角色种族和性别对角色识别的影响。角色是在角色叙述和角色视频创建中使用生成式AI创建的。这项工作的贡献在于，与假设相反，角色种族和性别在不同种族背景的设计师的角色识别中都不起主要作用。虽然在设计师的开放式反馈中有一些种族和性别的暗示，但描述角色识别的新兴定性主题是绝对普遍的，无论种族或性别都适用。这意味着专业设计师可以有效地使用具有不同人口统计背景的人物角色，并且人物角色中导致刻板印象的人口统计属性的影响比想象的要小。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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 ...