Exploring bike-commuter habits through data physicalisation engagement

Engagement with real-time GPS data presents an obvious avenue towards behaviour change for sustainable mobility choices, as tracking human activity patterns becomes more ubiquitous. However, tracking data in visual form does not invite the quality of engagement that data physicalisations afford. In this blended method experiment, we study bike-commuter habits by combining data tracking, ethnographic studies and data physicalisation. We invited 12 everyday bicycle commuters to track their mobility patterns through an app, to be video shadowed on their daily commute and finally to engage in workshops with different data physicalisations based on the personal mobility data collected. We employ an analytic framework to indicate how the participant engagements match the theories of Flow State, Play Moods and Small Beginnings. The results of the study show that there is a potential for engaging local communities in reflecting on their day-to-day mobility choices through active engagement with data physicalisations. We also suggest that the framework can be used to develop facilitation practices to further enhance data physicalisation engagement and deepen insights.