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Neşe Zayim,Hasibe Yildiz,Yilmaz Kemal Yüce 대한의료정보학회 2023 Healthcare Informatics Research Vol.29 No.4
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 evaluatedfor cognitive load. This evaluation can contribute to the improvement of the user interface and help prevent cognitiveoverload for the user. Methods: In this study, we evaluated a mobile personal health records application using the cognitivetask analysis method, specifically the goals, operators, methods, and selection rules (GOMS) approach, along with the relatedupdated GOMS model and gesture-level model techniques. The GOMS method allowed us to determine the steps of the tasksand categorize them as physical or cognitive tasks. We then estimated the completion times of these tasks using the updatedGOMS model and gesture-level model. Results: All 10 identified tasks were split into 398 steps consisting of mental andphysical operators. The time to complete all the tasks was 5.70 minutes and 5.45 minutes according to the updated GOMSmodel and gesture-level model, respectively. Mental operators covered 73% of the total fulfillment time of the tasks accordingto the updated GOMS model and 76% according to the gesture-level model. The inter-rater reliability analysis yielded anaverage of 0.80, indicating good reliability for the evaluation method. Conclusions: The majority of the task execution timescomprised 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.