Nudging Raters towards Feedback: Effects of Regulatory Focus and Idea Partitioning on Rater’s Attendance on and their Tendency to Follow Feedback Information in Idea Selection

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dc.contributor.author Wibmer, Arnold
dc.date.accessioned 2021-12-24T17:58:35Z
dc.date.available 2021-12-24T17:58:35Z
dc.date.issued 2022-01-04
dc.description.abstract In idea selection, raters can attend and rely on information from multiple sources to determine which ideas are worthy for further consideration. Since that information can include feedback from external sources (e.g. number of likes from a community), it has the potential to act as anchor cues that impact decision making. Up to now, little is known about the susceptibility of raters to such information depends on individual’s motivational orientation (regulatory focus) as well as on the number of ideas presented simultaneously per subset. Using eye-tracking methods, findings show that anchoring-effect is less salient when raters were primed to prevention focus, although they searched more extensively for feedback information than their counterparts with promotion focus. Moreover, reducing the number of presented ideas per subset in prevention focus further decreased susceptibility to anchor cues.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2022.533
dc.identifier.isbn 978-0-9981331-5-7
dc.identifier.uri http://hdl.handle.net/10125/79870
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Behavioral Economics in the Digital Economy: Digital Nudging and Interface Design
dc.subject anchoring
dc.subject eye-tracking
dc.subject feedback information
dc.subject idea partitioning
dc.subject idea selection
dc.subject subset size
dc.title Nudging Raters towards Feedback: Effects of Regulatory Focus and Idea Partitioning on Rater’s Attendance on and their Tendency to Follow Feedback Information in Idea Selection
dc.type.dcmi text
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Behavioral Economics in the Digital Economy: Digital Nudging and Interface Design