Life-swap: how discussions around personal data can motivate desire for change

  • PDF / 811,469 Bytes
  • 13 Pages / 595.276 x 790.866 pts Page_size
  • 23 Downloads / 200 Views

DOWNLOAD

REPORT


ORIGINAL ARTICLE

Life-swap: how discussions around personal data can motivate desire for change Rowanne Fleck 1 Anya Skatova 6

& Marta E. Cecchinato

2

& Anna L. Cox

3

& Daniel Harrison

2

& Paul Marshall

4

& Jea Hoo Na

5

&

Received: 12 March 2019 / Accepted: 22 January 2020 # The Author(s) 2020

Abstract Personal informatics technologies support the collection of and reflection on personal data, but enabling people to learn from and act on this data is still an on-going challenge. Sharing and discussing data is one way people can learn from it, but as yet, little research explores how peer discourses around data can shape understandings and promote action. We ran 3 workshops with 5week follow-ups, giving 18 people the opportunity to swap their data and discuss it with another person. We found that these workshops helped them to recontextualise and to better understand their data, identify new strategies for changing their behaviour and motivated people to commit to changes in the future. These findings have implications for how personal informatics tools could help people identify opportunities for change and feel motivated to try out new strategies. Keywords Data sharing . Personal informatics . Behaviour change . Activity tracker . Autographer . RescueTime

1 Introduction Current personal informatics (PI) technologies provide us with vast amounts of data about many aspects of our personal, professional and social lives. Reflecting on that data in order to gain actionable knowledge about how to become fitter, happier and more productive is believed to be one way of improving our quality of life [1]. Personal data might help people become aware of issues to do with managing different aspects of their lives. There are now several applications and

* Rowanne Fleck [email protected] 1

School of Computer Science, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK

2

Computer and Information Sciences Department, Northumbria University, 2 Ellison Place, Newcastle upon Tyne NE1 8ST, UK

3

UCL Interaction Centre, University College London, 2nd floor 66-72 Gower Street, London WC1E 6BT, UK

4

Department of Computer Science, Merchant Venturers Building, Woodland Road, Clifton, Bristol, UK

5

Manchester School of Art, Manchester Metropolitan University, 1.02 Righton Building, Cavendish Street, Manchester M15 6BG, UK

6

School of Psychological Science, University of Bristol, 12a, Priory Road, Bristol BS8 1TU, UK

devices on the market that monitor and measure almost any aspect of our life (e.g., Fitbits, weight loss apps, softwarelogging tools) and have led us to a data-driven life. Recently, tech giants such as Apple and Google have announced new monitoring features that allow users to take control of their digital habits and better spend their time [2]. People collect data with these technologies with multiple intentions, including: to reflect on their routines, learn about themselves and potentially change their behaviour. However, despite much recent work in this field, supporting people in m