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Cited by 23Usability and User Interface DesignMobile Health and mHealth ApplicationsElectronic Health Records Systems

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Estimating Cognitive Load in a Mobile Personal Health Record Application: A Cognitive Task Analysis Approach

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Zayim, Neşe, Yıldız, Hasibe, Yüce, Yilmaz Kemal·2023·Healthcare Informatics Research
DOI 10.4258/hir.2023.29.4.367PMC PMC10651402
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Abstract

Objectives: Mobile health applications that are designed without considering usability criteria can lead to cognitive overload, resulting in the rejection of these apps. To avoid this problem, the user interface of mobile health applications should be evaluated for cognitive load. This evaluation can contribute to the improvement of the user interface and help prevent cognitive overload for the user.Methods: In this study, we evaluated a mobile personal health records application using the cognitive task analysis method, specifically the goals, operators, methods, and selection rules (GOMS) approach, along with the related updated GOMS model and gesture-level model techniques. The GOMS method allowed us to determine the steps of the tasks and categorize them as physical or cognitive tasks. We then estimated the completion times of these tasks using the updated GOMS model and gesture-level model.Results: All 10 identified tasks were split into 398 steps consisting of mental and physical operators. The time to complete all the tasks was 5.70 minutes and 5.45 minutes according to the updated GOMS model and gesture-level model, respectively. Mental operators covered 73% of the total fulfillment time of the tasks according to the updated GOMS model and 76% according to the gesture-level model. The inter-rater reliability analysis yielded an average of 0.80, indicating good reliability for the evaluation method.Conclusions: The majority of the task execution times comprised mental operators, suggesting that the cognitive load on users is high. To enhance the application's implementation, the number of mental operators should be reduced.

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Figure 1 Menu structure diagram of e-Nabız.
Figure 1 Menu structure diagram of e-Nabız.CC BY-NC · PubMed Central
Figure 2 Average execution time for mental and physical operators in tasks according to the updated GOMS model and gesture-level model. GOMS: goals, operators, methods, selection rules.
Figure 2 Average execution time for mental and physical operators in tasks according to the updated GOMS model and gesture-level model. GOMS: goals, operators, methods, selection rules.CC BY-NC · PubMed Central

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  1. Tracy, Measuring cognitive load to test the usability of web sites, 256

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Metadata

Authors
Zayim, N., Yıldız, H., & Yüce, Y. K.
Affiliations
Akdeniz University (TR)
Corresponding author
Yıldız, Hasibe
ORCID
Venue
Healthcare Informatics Research
Publisher
The Korean Society of Medical Informatics
Published
2023-10-31
Volume
29
Issue
4
Pages
367-376
ISSN
  • 2093-3681 (ISSN-L)
  • 2093-369X
DOI
10.4258/hir.2023.29.4.367
PMC
PMC10651402
OpenAlex
W4388478682
Cited by
16
References
18
Citations by year
2026: 10 · 2025: 3 · 2024: 3
FWCI
2.77
Type
journal article
Language
en
Open access
Licence
Locations
  • Healthcare Informatics Research (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • Alanya Alaaddin Keykubat University Institutional Repository (submittedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Akdeniz University Scientific Research Project Administration Division (5416)
Topics
  • Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Keywords
cognitive load, mobile health apps, personal health records, GOMS model, usability evaluation, user interface design, task completion time, inter-rater reliability

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