Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/152786
Title: Sense of familiarity : improving older adults' adaptation to exergames
Authors: Zhang, Hao
Keywords: Engineering::Computer science and engineering::Computer applications::Arts and humanities
Issue Date: 2019
Source: Zhang, H. (2019). Sense of familiarity : improving older adults' adaptation to exergames. 2019 CHI Conference on Human Factors in Computing Systems (CHI EA '19), May 2019, SRC14-. https://dx.doi.org/10.1145/3290607.3308460
Project: MOH/NIC/COG04/2017
Abstract: Exergames are proven to be effective in helping older adults improve their physical and mental capabilities. However, older adults' maladaptation to exergames may occur due to the complexity of game tasks and interfaces. In this work, we show that familiarity can improve older adults' adaptation to exergames. The results of our first study indicate that older adults with higher level of familiarity to exergames exhibit higher level of motivation and ability. To maximize the effectiveness of exergames, it is helpful to provide older adults exergames which they are more familiar with. To evaluate the familiarity level of exergames, we propose a novel familiarity model with five factors, namely prior experience, positive emotion, repeated time, level of processing, and retention rate. Results from our second study show that the identified five factors have significant positive correlations with familiarity and there is a high positive correlation between familiarity levels and participants' satisfaction to the exergames.
URI: https://hdl.handle.net/10356/152786
ISBN: 9781450359719
DOI: 10.1145/3290607.3308460
Rights: © 2019 The owner/author(s). All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:IGS Conference Papers

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