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Of the 25 studies reviewed, 20 (80%) opted to construct models using a dataset created by the authors, whereas 5 (20%) chose established benchmark datasets, such as the Floodlight Proof-of-Concept dataset used in the study by Creagh et al [45], the My Fitness Pal dataset used in the study by Harris et al [56], the MHEALTH dataset used in the study by Uddin and Soylu [49], the Continuous Glucose Monitoring Intervention in Teens and Young Adults With Type 1 Diabetes study dataset [70], and the Human Activity Recognition
J Med Internet Res 2024;26:e53863
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Salgado et al [32] has highlighted that culture plays a vital role from the investigation to the design or development of new methods, theories, techniques, and systems. Hence, cultural specificities were expected when we started this project and we decided to follow a participatory design (PD) approach to collect the potentially culturally specific needs of end users.
Alabdulqader et al [33] highlighted a need to reduce the cultural gap between technology designers and users by using a PD approach.
JMIR Hum Factors 2022;9(2):e25880
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Understanding Cardiology Practitioners’ Interpretations of Electrocardiograms: An Eye-Tracking Study
The eye-tracking study by Davies et al [10] especially inspired our second and third hypothesis as the authors noted that experienced interpreters adopt a duel processing model of ECG interpretation. Additionally, the study by Wu et al [3] also emphasized this nuance among different categories of medical practitioners.
JMIR Hum Factors 2022;9(1):e34058
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From the resulting data, we decided to follow the approach used by Al-Ansari et al [30] to classify the participants’ engagement into 3 categories: inactive, semiactive, and active. The participants who used the app for 3 weeks or less were considered inactive, those who used the app for 4-6 weeks were considered semiactive, and those who used the app for 7 weeks or more were considered active, as shown in Figure 5.
JMIR Form Res 2022;6(1):e34309
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This duration was adopted from the study by Laugeson et al [21], which suggested that when receiving social and communication skills interventions, improvement is only evident at 16 weeks. The study started by contacting individuals willing to participate. Due to COVID-19, the initial meetings with the participants were conducted online.
JMIR Form Res 2021;5(12):e33123
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Thus, Bond et al [6] adopted eye tracking in order to understand how the collected eye gaze data may be used in order to unveil insights into how expert annotators proceed with ECG interpretation. Bond et al [6] collected the eye gaze data of several expert ECG interpretations. This was done with annotators viewing different ECGs each across different studies [4,6,8]. The authors then applied an objective quantitative approach to analyze the data.
JMIR Med Educ 2021;7(4):e26675
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New Checklist for the Heuristic Evaluation of mHealth Apps (HE4EH): Development and Usability Study
The research revealed 8 sets, by Shneiderman [18], Nielsen [19], Gómez et al [6], Lacerda et al [20], Dourado and Canedo [21], Monkman and Kushniruk [22], Abraham and Michie [23], and the International Diabetes Federation [24]. Figure 1 presents the compilation of heuristics retrieved from the results. The single word from each heuristic that is written in square brackets is used as the shorter name of the heuristic in the following sections.
Compilation of heuristics.
JMIR Mhealth Uhealth 2020;8(10):e20353
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