Thursday 11 July 2019

Employing Emotion Regulation Strategies in Tracking Personal Fitness Progress

elan article by Lewen Wei and Jin Kang (Pennsylvania State University, USA) published in International Journal of Human–Computer Interaction Volume 35 Issue 12 (2019)

Abstract

This study examined the effect of adding an emotion regulation feature into fitness trackers.

Applying the theoretical framework of emotion regulation, we argue that such feature can mitigate tracker users’ downward emotions due to failure to meet their fitness goals, and as such, the users would be continuously motivated to meet their fitness goals.

To answer our hypotheses and research questions, we conducted a 2 (emotional intensity: low vs. high) × 3 (emotion regulation strategy: no regulation vs. cognitive change vs. attention deployment) online between-subjects experiment (N = 228).

Our results indicate that emotion regulation function successfully regulated users’ downward emotions, which enhanced their state psychological well-being, perceived self-efficacy for exercise, and then facilitated more favorable fitness outcomes.

We discuss design implications based on our results.

Hazel’s comment:
Interesting to read, albeit only an abstract of the article, about one of the basics of mental health recovery programmes being used in this way.



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