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Assessing Usability Testing for People Living with Dementia

Gibson, Aideen, McCauley, Claire Odile, Mulvenna, Maurice, Ryan, Assumpta, Laird, Liz, Curran, Kevin, Bunting, Brendan, Ferry, Finola and Bond, Raymond (2016) Assessing Usability Testing for People Living with Dementia. In: REHAB-2016 Workshop, Lisbon, Portugal. ACM Digital Library. 6 pp. [Conference contribution]

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DOI: 10.1145/3051488.3051492

Abstract

This paper reports on a study that examines the value of several common usability testing protocols, methods and metrics when used to evaluate the usability of a new personalised reminiscence ‘app’. The app, called ‘InspireD’, is a bespoke app designed to support personalised reminiscence for people living with dementia. The study focused on determining the value of commonly used methods for evaluating usability of apps designed for use by people living with dementia and their caregivers. The study indicated that observation and recording of task completion rates and times produced the most reliable results. The think-aloud methodology was difficult for the people living with dementia and did not produce any reliable data. Thinking-aloud whilst doing a task may have been a distraction since it requires a higher cognitive load. The systematic usability scale score which is derived from a post-test instrument is not reliable, as it had no association with the task completion times.

Item Type:Conference contribution (Paper)
Keywords:Usability protocols, usability, user experience, UX, human computer interaction, reminiscence, apps.
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Faculty of Computing & Engineering > School of Computing and Mathematics
Faculty of Life and Health Sciences > School of Nursing
Faculty of Life and Health Sciences
Faculty of Life and Health Sciences > School of Psychology
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
Psychology Research Institute > Population Health Sciences and Mental Health Services
Psychology Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
Institute of Nursing and Health Research
Institute of Nursing and Health Research > Person-centred Practice Research Centre
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:36161
Deposited By: Professor Maurice Mulvenna
Deposited On:05 May 2017 14:55
Last Modified:05 May 2017 14:55

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