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NASA RTLX as a Novel Assessment for Determining Cognitive Load and User Acceptance of Expert and User-Based Evaluation Methods Exemplified Through a mHealth Diabetes Self-Management Application Evaluation
Blekinge Institute of Technology, Faculty of Computing.ORCID iD: 0000-0002-9854-7690
2019 (English)In: Studies in Health Technology and Informatics / [ed] Blobel, B; Giacomini, M, IOS Press, 2019, Vol. 261, no 16th International Conference on Wearable Micro and Nano Technologies for Personalized Health (pHealth), p. 185-190Conference paper, Published paper (Refereed)
Abstract [en]

Many diabetes patients utilize mobile health applications for their personalized self-management needs, but a majority of these systems have deficient usability. To assess the usability, different evaluation methods can be used. Two such methods are the expert-based cognitive walkthrough (CW) and user-based think aloud (TA) which have different advantages and disadvantages and can lead to the detection of many types of usability problems. There is, however, a lack of research on how the evaluators experience performing these different methods; an important aspect to include due to its possible implications for the evaluation overall. In this paper the focus was on assessing the evaluators' cognitive load and method acceptance through an instrument novel for this particular purpose, the NASA RTLX, and through in-depth interviews. Six usability experts and 6 diabetes patients performed the evaluations where 18 usability problems were found with the CW and 20 with the TA and with system usability (SUS) scores of 23.75 and 59.58. Both methods had similarly high cognitive loads: the CW with a RTLX score of 56.11, and the TA of 53.47 and both were experienced as cognitively demanding. The results indicate the potential importance of these dimensions for decision-making purposes between different evaluation methods.

Place, publisher, year, edition, pages
IOS Press, 2019. Vol. 261, no 16th International Conference on Wearable Micro and Nano Technologies for Personalized Health (pHealth), p. 185-190
Keywords [en]
NASA RTLX, cognitive walkthrough, think aloud protocol, diabetes, USABILITY
National Category
Human Computer Interaction Nursing
Identifiers
URN: urn:nbn:se:bth-22520DOI: 10.3233/978-1-61499-975-1-185ISI: 000624509800025PubMedID: 31156113ISBN: 978-1-61499-975-1 (print)OAI: oai:DiVA.org:bth-22520DiVA, id: diva2:1622163
Conference
16th International Conference on Wearable Micro and Nano Technologies for Personalized Health (pHealth), Genoa, Italy, JUN 10-12, 2019
Available from: 2021-12-21 Created: 2021-12-21 Last updated: 2021-12-21Bibliographically approved

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Georgsson, Mattias

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CiteExportLink to record
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