What Makes You Bike? Exploring Persuasive Strategies to Encourage Low-Energy Mobility

  • Matthias Wunsch
  • Agnis Stibe
  • Alexandra Millonig
  • Stefan Seer
  • Chengzhen Dai
  • Katja Schechtner
  • Ryan C. C. Chin
Conference paper

DOI: 10.1007/978-3-319-20306-5_5

Volume 9072 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Wunsch M. et al. (2015) What Makes You Bike? Exploring Persuasive Strategies to Encourage Low-Energy Mobility. In: MacTavish T., Basapur S. (eds) Persuasive Technology. PERSUASIVE 2015. Lecture Notes in Computer Science, vol 9072. Springer, Cham

Abstract

This paper explores three persuasive strategies and their capacity to encourage biking as a low-energy mode of transportation. The strategies were designed based on: (I) triggering messages that harness social influence to facilitate more frequent biking, (II) a virtual bike tutorial to increase biker’s self-efficacy for urban biking, and (III) an arranged bike ride to help less experienced bikers overcome initial barriers towards biking. The potential of these strategies was examined based on self-reported trip data from 44 participants over a period of four weeks, questionnaires, and qualitative interviews. Strategy I showed a significant increase of 13.5 percentage points in share of biking during the intervention, strategy II indicated an increase of perceived self-efficacy for non-routine bikers, and strategy III provided participants with a positive experience of urban biking. The explored strategies contribute to further research on the design and implementation of persuasive technologies in the field of mobility.

Keywords

Low-energy mobility Persuasion Biking Cycling Behavior change Transportation Sustainability Socially influencing systems 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Matthias Wunsch
    • 1
    • 3
  • Agnis Stibe
    • 2
  • Alexandra Millonig
    • 1
  • Stefan Seer
    • 1
  • Chengzhen Dai
    • 2
  • Katja Schechtner
    • 2
  • Ryan C. C. Chin
    • 2
  1. 1.Austrian Institute of TechnologyViennaAustria
  2. 2.MIT Media LabCambridgeUSA
  3. 3.Human Computer Interaction, Vienna University of TechnologyViennaAustria