Spatio-temporal and contextual cues to support reflection in physical activity tracking
Bibliographic Data
| ID | 21642783 |
|---|---|
| Authors | Deemah Alqahtani (0000-0003-0265-4633, Imam Abdulrahman Bin Faisal University), Cleo Jay (0000-0002-6080-1382, University of Manchester), Markel Vigo (0000-0003-4768-7623, University of Manchester, corresponding author) |
| Year | 2022 |
| Volume | 165 |
| Pages | 102865 |
| Publication date | 2022-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Human-Computer Studies (JOURNAL) |
| Journal identifiers | ISSN: 1071-5819 • E-ISSN: 1095-9300 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.ijhcs.2022.102865 |
| OpenAlex | W4281571411 |
| Language | EN |
| References cited | 36 |
Physical activity reconstruction is a process whereby self-trackers reflect on their physical activities and goals in an episodic fashion by recalling a series of past experiences and events. Tracking tools often include spatio-temporal cues (i.e. maps and timelines) to provide further context to these physical activity patterns, yet little is known about whether these features actually aid reflection. Here, we report a four-week user study (N=26) run with FitReconstruct, an app that fosters reconstruction of physical activity data using spatio-temporal and contextual cues to support recall of episodic information. We found that compared to a baseline version, presenting spatio-temporal and contextual cues increased the quality of reflection and user satisfaction. These findings inform design recommendations to support explicit reflective prompts in physical activity tracking apps
Cognitive psychology · Human–computer interaction · Physical activity · Physical medicine and rehabilitation · Recall · Timeline · Computer Science · Digital Mental Health Interventions · Innovative Human-Technology Interaction · Mobile Health and mHealth Applications · Psychology
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| Citation velocity | historical |
|---|---|
| Highly cited | No |