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Evaluating the use of voice-enabled technologies for ground-truthing activity data

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

3 Citations (Scopus)
556 Downloads (Pure)

Abstract

Reliably discerning human activity from sensor data is a nontrivial task in ubiquitous computing, which is central to enabling smart environments. Ground-truth acquisition techniques for such environments can be broadly divided into observational and self-reporting approaches. In this paper we explore one self-reporting approach, using speech-enabled logging to generate ground-truth data. We report the results of a user study in which participants (N=12) used both a smart-watch and a smart-phone app to record their activities of daily living using primarily voice, then answered questionnaires comprising the System Usability Scale (SUS) as well as open ended questions about their experiences. Our findings indicate that even though user satisfaction with the voice-enabled activity logging apps was relatively high, this approach presented significant challenges regarding compliance, effectiveness, and privacy. We discuss the implications of these findings with a view to offering new insights and recommendations for designing systems for ground-truth acquisition ’in the wild’.
Original languageEnglish
Title of host publication2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops 2017)
Subtitle of host publicationProceedings of a meeting held 13-17 March 2017, Kona, Big Island, Hawaii, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages135-149
Number of pages6
ISBN (Electronic)9781509043385
ISBN (Print)9781509043392
DOIs
Publication statusPublished - Jun 2017
Event1st International Workshop on Annotation of useR Data for UbiquitOUs Systems @ IEEE PerCom 2017 - Kona, Hawaii, United States
Duration: 13 Mar 2017 → 17 Mar 2017
http://www.irc-sphere.ac.uk/arduous-workshop

Workshop

Workshop1st International Workshop on Annotation of useR Data for UbiquitOUs Systems @ IEEE PerCom 2017
Abbreviated titleARDUOUS
Country/TerritoryUnited States
CityHawaii
Period13/03/17 → 17/03/17
Internet address

Research Groups and Themes

  • Digital Health
  • SPHERE

Keywords

  • Ground-truth acquisition
  • self-annotation
  • voice- logging
  • smart-watch app
  • smart-phone app
  • activity logging
  • Digital Health

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  • Full-text PDF (accepted author manuscript)

    This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at http://ieeexplore.ieee.org/document/7917546/. Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 3.14 MBLicence: Unspecified

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    • SPHERE (EPSRC IRC)

      Craddock, I. J. (Principal Investigator), Coyle, D. T. (Principal Investigator), Flach, P. A. (Principal Investigator), Kaleshi, D. (Principal Investigator), Mirmehdi, M. (Principal Investigator), Piechocki, R. J. (Principal Investigator), Stark, B. H. (Principal Investigator), Ascione, R. (Co-Principal Investigator), Ashburn, A. M. (Collaborator), Burnett, M. E. (Collaborator), Damen, D. (Co-Principal Investigator), Gooberman-Hill, R. (Principal Investigator), Harwin, W. S. (Collaborator), Hilton, G. (Co-Principal Investigator), Holderbaum, W. (Collaborator), Holley, A. P. (Manager), Manchester, V. A. (Administrator), Meller, B. J. (Other ), Stack, E. (Collaborator) & Gilchrist, I. D. (Principal Investigator)

      1/10/13 → 30/09/18

      Project: Research, Parent

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