The impact of structuring the interface as a decision tree in a treatment decision support tool

  • Authors:
  • Neil Carrigan;Peter H. Gardner;Mark Conner;John Maule

  • Affiliations:
  • Department of Computer Science, University of Bath, Bath, UK;Institute of Psychological Sciences, University of Leeds, Leeds, UK;Institute of Psychological Sciences, University of Leeds, Leeds, UK;Leeds University Business School, University of Leeds, UK

  • Venue:
  • USAB'07 Proceedings of the 3rd Human-computer interaction and usability engineering of the Austrian computer society conference on HCI and usability for medicine and health care
  • Year:
  • 2007

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Abstract

This study examined whether interfaces in computer-based decision aids can be designed to reduce the mental effort required by people to make difficult decisions about their healthcare and allow them to make decisions that correspond with their personal values. Participants (N=180) considered a treatment scenario for a heart condition and were asked to advise a hypothetical patient whether to have an operation or not. Attributes for decision alternatives were presented via computer in one of two formats; alternative-tree or attribute-tree. Participants engaged in significantly more compensatory decision strategies (i.e., comparing attributes of each option) using an interface congruent with their natural tendency to process such information (i.e., alternative-tree condition). There was also greater correlation (p