• DocumentCode
    1598649
  • Title

    The benefit of activity recognition for mobile phone based nursing documentation: A Wizard-of-Oz study

  • Author

    Altakouri, Bashar ; Kortuem, Gerd ; Grünerbl, Agnes ; Kunze, Kai ; Lukowicz, Paul

  • Author_Institution
    Sch. of Comput. & Commun., Univ. of Lancaster, Lancaster, UK
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In a Wizard-of-Oz experiment we investigate to what degree automatic activity recognition could support the use of prioritized lists for nursing documentation on hand held mobile devices. The study involved 15 nurses, 60 patients records and over 250 documented processes at a geriatric care ward. Based on time effort, interaction complexity, error rate and subjective system perception our wizard of oz study shows that activity recognition is a key factor in the usability and acceptance of the system. We also study the impact of varying simulated activity recognition errors and demonstrate that error rates of up to 25% do not aversely affect the documentation process.
  • Keywords
    document handling; geriatrics; human computer interaction; image motion analysis; medical information systems; mobile handsets; patient care; wearable computers; activity recognition; documentation process; geriatric care ward; hand held mobile device; interaction complexity; mobile phone; nursing documentation; wizard-of-oz experiment; Accuracy; Complexity theory; Context; Documentation; Error analysis; Medical services; Mobile handsets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wearable Computers (ISWC), 2010 International Symposium on
  • Conference_Location
    Seoul
  • ISSN
    1550-4816
  • Print_ISBN
    978-1-4244-9046-2
  • Electronic_ISBN
    1550-4816
  • Type

    conf

  • DOI
    10.1109/ISWC.2010.5665866
  • Filename
    5665866