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Measuring the Effectiveness of User Interventions in Improving the Seated Posture of Computer Users

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Evolving Ambient Intelligence (AmI 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 413))

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Abstract

Extended periods of time sitting in front of a computer give rise to risks of developing musculoskeletal disorders. In the workplace, computer use contributes considerably to employee injury and results in significant costs to the employer in terms of sick leave and injury claims. Due to these risks there has been significant research into the areas of posture classification and subject intervention to improve posture in an office environment. The KinectTMhas been shown to be a suitable hardware platform for posture classification. This paper presents a system for posture classification and novel subject intervention that leverages each of three distinct forms of persuasive computing and explores the success of each type. Our results show significant improvement in posture results from the most effective of our intervention types.

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Duffy, P., Smeaton, A.F. (2013). Measuring the Effectiveness of User Interventions in Improving the Seated Posture of Computer Users. In: O’Grady, M.J., et al. Evolving Ambient Intelligence. AmI 2013. Communications in Computer and Information Science, vol 413. Springer, Cham. https://doi.org/10.1007/978-3-319-04406-4_2

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  • DOI: https://doi.org/10.1007/978-3-319-04406-4_2

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04405-7

  • Online ISBN: 978-3-319-04406-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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