CHI 2016

Rethinking Mobile Interfaces for Older Adults

Neil Charness, Florida State University, Tallahassee, United States
Mark Dunlop, Computer and Information Sciences, University of Strathclyde, Glasgow, UK
Cosmin Munteanu, ICCIT, University of Toronto Mississauga, Mississauga, Canada
Emma Nicol, University of Strathclyde, Glasgow, UK
Antti Oulasvirta, Aalto University, Helsinki, Finland
Xiangshi Ren, School of Information,Kochi University of Technology, Kami, Japan
Sayan Sarcar, Center for Human-Engaged Computing, Kochi University of Technology, Kochi, Japan
Chaklam Silpasuwanchai, Center for Human-Engaged Computing, Kochi University of Technology, Kochi, Japan

Keywords: Older adults, Mobile interface design, Cognitive models, Empirical studies, Accessibility, Cognitive psychology, Gerontology, Gerontechnology

This SIG advances the study of mobile user interfaces for the aging population. The topic is timely, as the mobile device has become the most widely used computer terminal and at the same time the number of older people will soon exceed the number of children worldwide. However, most HCI research addresses younger adults and has had little impact on older adults. Some design trends, like the mantra “smaller is smarter”, contradict the needs of older users. Developments like this may diminish their ability to access information and participate in society. This can lead to further isolation (social and physical) of older adults and increased widening of the digital divide. This SIG aims to discuss mobile interfaces for older adults. The SIG has three goals: (i) to map the state-of-art, (ii) to build a community gathering experts from related areas, and (iii) to raise awareness within the SIGCHI community.

The SIG will be open to all at CHI.


Neil Charness, Mark Dunlop, Cosmin Munteanu, Emma Nicol, Antti Oulasvirta, Xiangshi Ren, Sayan Sarcar, and Chaklam Silpasuwanchai. 2016. Rethinking Mobile Interfaces for Older Adults. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA ’16). ACM, New York, NY, USA, 1131-1134. DOI=http://dx.doi.org/10.1145/2851581.2886431

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