Abstract
Many people struggle to maintain exercise routines (Biddle and Fox, 1989). Affective state (emotion, mood and sentiment) plays a key role in supporting or undermining intentions to exercise (Hanin, 2000). Presenting users with representations of their emotions can result in positive adjustments to their behavior (Brave and Nass, 2002). This project aimed to evaluate the impact of running with such a representation on a user’s positivity during a run, and upon its completion.
A mobile application, EmotiRun, was iteratively designed to capture user feelings whilst running via self-reporting functionality; using this to dynamically represent inferences made of the positivity of the positivity of a user’s emotional state.
A user study with EmotiRun didn’t reveal significant differences in positivity with an ‘emotional’ display present. Participants did however note their awareness of the dynamic representation changing, and its potential as a motivational cue. The design and evaluation context in the physical setting of running are considered in relation to the fields of Affective Computing, and more broadly Human Computer Interaction. Further work is proposed to build upon the study method and design approach, of in-situ real-time self-reporting for physical activities.
A mobile application, EmotiRun, was iteratively designed to capture user feelings whilst running via self-reporting functionality; using this to dynamically represent inferences made of the positivity of the positivity of a user’s emotional state.
A user study with EmotiRun didn’t reveal significant differences in positivity with an ‘emotional’ display present. Participants did however note their awareness of the dynamic representation changing, and its potential as a motivational cue. The design and evaluation context in the physical setting of running are considered in relation to the fields of Affective Computing, and more broadly Human Computer Interaction. Further work is proposed to build upon the study method and design approach, of in-situ real-time self-reporting for physical activities.
Original language | English |
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Place of Publication | Bath, U. K. |
Publisher | Department of Computer Science, University of Bath |
Number of pages | 133 |
Publication status | Published - May 2017 |
Publication series
Name | Department of Computer Science Technical Report Series |
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ISSN (Electronic) | 1740-9497 |