Review of quantitative empirical evaluations of technology for people with visual impairments

Brule, Emeline, Tomlinson, Brianna J, Metatla, Oussama, Jouffrais, Christophe and Serrano, Marcos (2020) Review of quantitative empirical evaluations of technology for people with visual impairments. ACM CHI Conference on Human Factors in Computing Systems (CHI 2020), Honolulu, Hawaii, USA, 25 - 30 April, 2020. Published in: CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 1-14. ACM, Honolulu HI USA. ISBN 9781450367080

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Abstract

Addressing the needs of visually impaired people is of continued interest in Human Computer Interaction (HCI) research. Yet, one of the major challenges facing researchers in this field continues to be how to design adequate quantitative empirical evaluation for these users in HCI. In this paper, we analyse a corpus of 178 papers on technologies designed for people with visual impairments, published since 1988, and including at least one quantitative empirical evaluation (243 evaluations in total). To inform future research in this area, we provide
an overview, historic trends and a unified terminology to design and report quantitative empirical evaluations. We identify open issues and propose a set of guidelines to address them. Our analysis aims to facilitate and stimulate future research on this topic.

Item Type: Conference Proceedings
Additional Information: ACKNOWLEDGEMENTS The authors would like to thank the workshop and SIG participants who contributed to map these issues (inclusiveeducation.tech). This work has received funding from the University of Sussex Research and Development Fund, from the French National Research Agency (AccessiMap ANR-14- CE17-0018) and the EPSRC (CRITICAL Fellowship Project, EP/N00616X/2).
Keywords: Assistive Technology, Visual Impairments, Literature Review, Evaluation Methods, Experiments, Education
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Research Centres and Groups: Creative Technology
Depositing User: Lucy Arnold
Date Deposited: 03 Mar 2020 08:52
Last Modified: 16 Sep 2020 11:11
URI: http://sro.sussex.ac.uk/id/eprint/90166

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