Thesis

Chapter 2 40 With participants’ permission real-time gaze replay video is recorded of the eye-tracking sessions. Measures: we measured the task performance by recording some quantitative measures, such as registering howmuch time is needed to complete each task, the number of times a particpant made ‘wrong’ choices/clicks, how many tasks were completed, and the number of taps or swipes that were needed to perform each task. The ways in which the designer performed the tasks was taken as a reference point. Tasks were measured on a scale 1-3 (1 = user failed to perform the task; 2 = user performed the task but with errors; 3 = user performed the task without any errors). Qualitative measures were extracted from the post-test interviews. The Retrospective Think Aloud (RTA) method [52] is used to collect additional information about the motivation of the choices users make while performing the tasks. After each user test session, post-interviews are conducted with each participant in order to give the user the opportunity to further explain why he or she made specific choices, as well as to obtain feedback on the user experience as additional input to improvement of the prototype. The RTA method – in combination with the eye-tracking allows a user to focus completely on the task. Research has shown that in retrospective think-aloud protocols, more problems were detected by means of verbalization, because the participants had more time to verbalize the problems [53]. Analysis of the gaze plots is not yet finalized and is work-in-progress. Results Questionnaires and interviews In total, 321 responses were collected from the questionnaires and 13 interviews with healthcare practitioners (dieticians, physical therapists and psychologists) were conducted. The interviews were all transcribed and coded. We used a free coding style (no pre-set codes) so as not to lose the richness of the data. In addition, six obesity therapy patients were interviewed to obtain insight into the daily needs and experiences of the emotional eaters. Data extraction from the questionnaires was processed for the purpose of creating user profiles and Personas according to the method proposed by LeRouge [45]: (a) personal and demographic information; (b) technical capabilities and limitations; and (c) needs and desires concerning support and care. Data derived from the interviews with experts and patients gave information about eating styles and the problems that emotional eaters encounter.

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