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.
History
Publication status
Published
File Version
Accepted version
Journal
CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
ACM CHI Conference on Human Factors in Computing Systems (CHI 2020)
Event location
Honolulu, Hawaii, USA
Event type
conference
Event date
25 - 30 April, 2020
Place of publication
Honolulu HI USA
ISBN
9781450367080
Department affiliated with
Engineering and Design Publications
Research groups affiliated with
Creative Technology Publications
Notes
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).