Automatic recognition of context and stress to support knowledge workers

  • Authors:
  • Saskia Koldijk

  • Affiliations:
  • TNO & Radboud University Nijmegen, The Netherlands

  • Venue:
  • Proceedings of the 30th European Conference on Cognitive Ergonomics
  • Year:
  • 2012

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Abstract

Motivation -- Developing a computer tool that improves well-being at work. Research approach -- We collect unobtrusive sensor data and apply pattern recognition approaches to infer the context and stress level of the user. We will develop a coaching tool based upon this information and evaluate its effectiveness in user studies. Findings/Design -- The resulting system will be able to create more awareness on stress for knowledge workers, support them to improve their working pattern, resulting in an increase of well-being at work. Take away message -- Unobtrusive sensing and smart reasoning can be used to create a user aware system that improves well-being at work by providing feedback and support.