Home // FASSI 2023, The Ninth International Conference on Fundamentals and Advances in Software Systems Integration // View article
Authors:
Majed Alshamari
Keywords: - AI based mobile applications Introduction; Artificial Intelligence; Cognitive Walkthrough; mHealth application; Usability Evaluation.
Abstract:
Artificial Intelligence (AI) technology has been adopted and employed in healthcare section to develop applications for providing various healthcare services. However, the effectiveness of these apps depends on their usability, which is a critical factor in their success. One approach to evaluating the usability of these apps is through a cognitive walkthrough. In our study, we aimed to evaluate the usability of AI-based features in 3 mHealth applications, including Ada, Babylon, and Ornament. We conducted a cognitive walkthrough by providing a list of tasks in order to carry out the process. After each task completion, evaluators were presented with questionnaire to assess the application's usability attributes. A total of 27 distinct problems were identified. The highest number of problems were related to health information and symptom checking features. The reported severity of identified issues in Ada, Babylon and Ornament are 7.4, 8.0 and 4.2 respectively. Some of the identified usability problems are irrelevant health information, limited disease enlistment, no search option, tiresome navigation, unsatisfactory results, and delayed responses. These issues impact effectiveness, and efficiency of AI models, and ultimately user satisfaction, thus, highlighting the need to improve AI based mHealth applications' functionality and design. Further, the evaluators provide recommendations on these identified problems.
Pages: 7 to 17
Copyright: Copyright (c) IARIA, 2023
Publication date: September 25, 2023
Published in: conference
ISSN: 2519-8475
ISBN: 978-1-68558-096-4
Location: Porto, Portugal
Dates: from September 25, 2023 to September 29, 2023