Self-monitoring has been shown to be one of the most efficient behaviour change techniques to promote physical activity. However, there has been no research on the exact nature and impact of using various self-monitoring solutions (e.g. cycle computer, cadence monitor, smartphone' physical activity apps) amongst cyclists. Initially, an online survey was conducted with 227 adults who did or did not use self-monitoring solutions with their cycling. We found that the most important features for cyclists who use self-monitoring are: time it takes to travel, cycling speed, and distance covered. In contrast, cyclists who do not use self-monitoring perceived features related to location (e.g. directions with maps) as the most important ones. In a subsequent study we included self-monitoring solutions as a part of mixed-design, small-scale, longitudinal intervention aimed at changing transportation patterns. We found that self-monitoring is mainly suitable for performance oriented cyclists rather then recreational cyclists. We discuss the implications of those results for designing interventions to promote cycling.
|Number of pages||11|
|Journal||Transportation Research Part A: Policy and Practice|
|Early online date||15 May 2015|
|Publication status||Published - 1 Jul 2015|
- Wearable computing
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- Management - Senior Lecturer (Associate Professor)
- Information, Decisions & Operations
- Bath Centre for Healthcare Innovation and Improvement
- Applied Digital Behaviour Lab
- EPSRC Centre for Doctoral Training in Cyber Security
Person: Research & Teaching