The effects of redundancy in user-interface design on older users

Gudur Raghavendra Reddy; Alethea Blackler; Vesna Popovic; M Helen Thompson; Doug P Mahar

doi:10.1016/j.ijhcs.2019.102385

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The effects of redundancy in user-interface design on older users

Journal article

Peer reviewed

The effects of redundancy in user-interface design on older users

Gudur Raghavendra Reddy, Alethea Blackler, Vesna Popovic, M Helen Thompson and Doug P Mahar

International Journal of Human - Computer Studies, Vol.137, 102385

2020

DOI: https://doi.org/10.1016/j.ijhcs.2019.102385

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Abstract

aging

redundancy

interface design

intuitive interaction

This paper presents an experiment designed to investigate if redundancy in an interface has any advantage over either words-based or symbols-based interfaces for older people during early or intermittent encounters with a device. Although older people used all three interfaces more slowly and less intuitively than younger ones, interestingly there were no age differences in terms of errors made on the words-based interface. In terms of differences between interfaces, older people (65+) completed tasks on the words-based interface faster and more intuitively than on the redundant (words and symbols) interface. Younger participants completed tasks faster on the redundant interface. Overall, this research suggests that a simple words-based interface is most effective for older users and that recommendations to use redundant interfaces for greater usability for older people may need to be re-visited.

Details

Title: The effects of redundancy in user-interface design on older users
Authors: Gudur Raghavendra Reddy (Author) - University of Canberra
Alethea Blackler (Author) - Queensland University of Technology
Vesna Popovic (Author) - Queensland University of Technology
M Helen Thompson (Author) - Queensland University of Technology
Doug P Mahar (Author) - University of the Sunshine Coast - School of Social Sciences
Publication details: International Journal of Human - Computer Studies, Vol.137, 102385
Publisher: Academic Press
Date published: 2020
DOI: 10.1016/j.ijhcs.2019.102385
ISSN: 1071-5819
Organisation Unit: School of Social Sciences - Legacy; University of the Sunshine Coast, Queensland; Engage Research Lab
Language: English
Record Identifier: 99450977002621
Output Type: Journal article

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Collaboration types: Domestic collaboration
Web Of Science research areas: Computer Science, Cybernetics; Ergonomics; Psychology, Multidisciplinary

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