Quotation Frysak, Josef, Bernroider, Edward, Maier, Konradin. 2017. An Effort Feedback Perspective on Persuasive Decision Aids for Multi-Attribute Decision-Making. International Journal of Information Technology & Decision Making 16 (01), 161-181.


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Abstract

Decision strategies and the level of cognitive effort humans devote to decision-making are highly sensitive. This study investigates the role of feedback interventions in decision aids (DAs) to direct the user’s attention and consequently increase the level of effort spent on the thinking in multi-attribute selection problems. Guided by four research hypotheses, we conducted an experiment with two groups, one with feedback enabled, the other one with it disabled, and provide post hoc click data analysis. The self-developed persuasive DA used in the experiment featured a continuous feedback mechanism based on the users investment of time. This DA led the users through a smartphone decision scenario with altering levels of complexity. Results show that normative effort feedback increases the decision maker’s willingness to spend more effort. We provide new evidence supporting the view that DAs should pay more attention to soft persuasion by guiding the decision maker towards working harder rather than only confronting the user with final recommendations.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal International Journal of Information Technology & Decision Making
Citation Index SCI
WU-Journal-Rating new FIN-A, INF-A, STRAT-C
Language English
Title An Effort Feedback Perspective on Persuasive Decision Aids for Multi-Attribute Decision-Making
Volume 16
Number 01
Year 2017
Page from 161
Page to 181
Reviewed? Y
DOI http://dx.doi.org/10.1142/s0219622016500486

Associations

People
Frysak, Josef (Details)
Bernroider, Edward (Details)
Maier, Konradin (Former researcher)
Organization
Information Systems and Operations DP (Details)
Research Institute for Computational Methods FI (Details)
Institute for Information Management and Control IN (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
5367 Management information systems (Details)
5405 Empirical social research (Details)
5937 Information systems (Details)
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