Foundations for infrastructure and interfaces to support user control in long-term user modelling

  • Authors:
  • Debjanee Barua;Judy Kay;Cécile Paris

  • Affiliations:
  • University of Sydney;University of Sydney;CSIRO Computational Informatics

  • Venue:
  • Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration
  • Year:
  • 2013

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Abstract

Personal sensors track data about many aspects of our lives. This data can be used to form a long-term user model to help people self reflect on their long-term goals. Yet, there is a dearth of work on designing the infrastructure and associated interfaces so that people can control the data stored in their user models, enabling them to use and manipulate their own data as they wish. We have conducted a survey with over 100 participants to gain an understanding of people's attitudes towards controlling their data. This paper presents the design of the survey and reports on its results. We explored control issues in terms of three sensors for weight, activity and inactivity. Our results paint a nuanced picture of user preferences. We conclude with implications for designing long-term user modelling systems for user control of personal sensor data.