Automated and Participative Decision Support in Computer-Aided Credibility Assessment

8th Annual Special Interest Group on Human-Computer Interaction 2009 Pre-ICIS Workshop, Scottsdale, December 2009

6 Pages Posted: 14 Oct 2009 Last revised: 27 Jul 2013

See all articles by Matthew Jensen

Matthew Jensen

University of Oklahoma - Michael F. Price College of Business

Paul Benjamin Lowry

Virginia Tech - Pamplin College of Business

Jeffrey L. Jenkins

University of Arizona

Date Written: October 11, 2009

Abstract

History has shown that inaccurate assessments of credibility can result in tremendous costs to businesses and society. This study uses Signal Detection Theory (SDT) to improve the accuracy of credibility assessments through combining automated and participatory decision support. Participatory decision support is also proposed to encourage acceptance of the decision aid’s recommendation. A new hybrid decision aid is designed to perform automated linguistic analysis and elicit and analyze perceptual cues (i.e., indirect cues) from an observer. The results suggest that decision aids that collect both linguistic and indirect cues perform better than decision aids that collect only one type of cue. Users of systems that collect linguistic cues experience improved credibility assessment accuracy; yet, users of systems that collect both types of cues or only indirect cues do not experience higher accuracy. However, collecting indirect cues increases the user’s acceptance of decision-aid recommendations.

Keywords: Credibility Assessment, Signal Detection Theory, Linguistic Analysis, Indirect Cues Elicitation, Decision Support Systems

Suggested Citation

Jensen, Matthew and Lowry, Paul Benjamin and Jenkins, Jeffrey L., Automated and Participative Decision Support in Computer-Aided Credibility Assessment (October 11, 2009). 8th Annual Special Interest Group on Human-Computer Interaction 2009 Pre-ICIS Workshop, Scottsdale, December 2009, Available at SSRN: https://ssrn.com/abstract=1487363

Matthew Jensen

University of Oklahoma - Michael F. Price College of Business ( email )

307 West Brooks
Norman, OK 73019-4004
United States

Paul Benjamin Lowry (Contact Author)

Virginia Tech - Pamplin College of Business ( email )

1016 Pamplin Hall
Blacksburg, VA 24061
United States

Jeffrey L. Jenkins

University of Arizona ( email )

Department of History
Tucson, AZ 85721
United States

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