Diversity Concepts in Computer Science and Technology Development: A Critique

Author:

Schelenz Laura1ORCID

Affiliation:

1. International Center for Ethics in the Sciences and Humanities, University of Tuebingen, Germany

Abstract

Diversity has become increasingly relevant in computer science and technology development, both in terms of inclusive design teams and as a concept used to design “diversity-aware” technologies. The latter part has received less attention and notions of diversity leveraged to design technologies remain understudied. This paper critically examines diversity concepts employed by computer scientists and designers by reviewing 120 articles in two subfields of computer science: personalized recommendations and human–computer interaction. Drawing on Black feminism and critical race theory-inspired literature, I offer a critique of demographic and cultural user representations and underscore the shortcomings of diversity as a strategy to increase user satisfaction and fairness. Particularly concerning is the unreflected use of binary, static, and individual-level diversity concepts in the design of technologies. Such concepts render structural inequalities between and within groups of users invisible and thereby risk reinforcing existing injustices. The paper closes with considerations on whether and how diversity concepts can be leveraged by designers in a social justice–oriented manner.

Funder

H2020 Future and Emerging Technologies

Publisher

SAGE Publications

Subject

Human-Computer Interaction,Economics and Econometrics,Sociology and Political Science,Philosophy,Social Sciences (miscellaneous),Anthropology

Reference72 articles.

1. Personalizing the User Interface for People with Disabilities

2. On Being Included

3. Allard Daniele, Blanchard Emmanuel G., eds. 2011. Handbook of Research on Culturally-Aware Information Technology: Perspectives and Models. Hershey, PA: IGI Global. Accessed June 23, 2020. http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-61520-883-8.

4. Anderson Andrew, Dikkala Rupika, Li Tianyi, Vorvoreanu Mihaela, Burnett Margaret. 2021. “Understanding Diversity in Human-AI Data: What Cognitive Style Disaggregation Reveals.” https://arxiv.org/pdf/2108.00588.

5. Computational Modeling in Human-Computer Interaction

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Mobile health technologies, social justice and population-based vulnerabilities;Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz;2023-01-25

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3