Research Commons
      • Browse 
        • Communities & Collections
        • Titles
        • Authors
        • By Issue Date
        • Subjects
        • Types
        • Series
      • Help 
        • About
        • Collection Policy
        • OA Mandate Guidelines
        • Guidelines FAQ
        • Contact Us
      • My Account 
        • Sign In
        • Register
      View Item 
      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computing and Mathematical Sciences Papers
      • View Item
      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computing and Mathematical Sciences Papers
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Personal data collection in the workplace: ethical and technical challenges

      Bowen, Judy; Hinze, Annika; Griffiths, Christopher John Gilder; Kumar, Vimal; Bainbridge, David
      Thumbnail
      Files
      BHCI_2017_paper_95.pdf
      Accepted version, 166.4Kb
      DOI
       10.14236/ewic/HCI2017.57
      Find in your library  
      Citation
      Export citation
      Bowen, J., Hinze, A., Griffiths, C., Kumar, V., & Bainbridge, D. (2017). Personal data collection in the workplace: ethical and technical challenges. In Proceeding of 31st British Human Computer Interaction Conference (HCI 2017). Sunderland, UK. https://doi.org/10.14236/ewic/HCI2017.57
      Permanent Research Commons link: https://hdl.handle.net/10289/12389
      Abstract
      Forestry is a dangerous work environment and collecting data on site to identify and warn about hazardous situations is challenging. In this paper, we discuss our attempts at creating continuous data-collection methods that are ethical, sustainable and effective. We explore the difficulties in collecting personal and environmental data from workers and their work domain. We also draw attention to the specific challenges in designing for sensor-based, wearable rugged IoT solutions. We present a case-study, comprising of a number of experiments, which exemplifies the work we have been undertaking in this domain. The case study is based on our approach to developing a robust, trusted Internet of Things (IoT) solution for dangerous work environments (specifically the forestry environment). We focus the results of this casestudy on both the technical successes and challenges as well as the personal and ethical challenges that have been elicited.
      Date
      2017
      Type
      Conference Contribution
      Rights
      © The Authors. Published by BISL
      Collections
      • Computing and Mathematical Sciences Papers [1452]
      Show full item record  

      Usage

      Downloads, last 12 months
      93
       
       
       

      Usage Statistics

      For this itemFor all of Research Commons

      The University of Waikato - Te Whare Wānanga o WaikatoFeedback and RequestsCopyright and Legal Statement