Abstract
The aging user presents unique challenges to designers of new technologies, in part because of physical changes in the user’s visual system. This paper reviews a number of these changes and shows how eye tracking can assist interaction science studies, both through traditional eye-movement metrics as well as with pupil-based estimates of cognitive workload. Three studies of older and younger participants are described.
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Marshall, S.P. (2013). Interaction Science and the Aging User: Techniques to Assist in Design and Evaluation. In: Stephanidis, C., Antona, M. (eds) Universal Access in Human-Computer Interaction. User and Context Diversity. UAHCI 2013. Lecture Notes in Computer Science, vol 8010. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39191-0_15
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DOI: https://doi.org/10.1007/978-3-642-39191-0_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39190-3
Online ISBN: 978-3-642-39191-0
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