Operationalization of Information Acquisition Switching Behavior in the Context of Idea Selection
Arnold Wibmer (),
Frederik Wiedmann (),
Isabella Seeber () and
Ronald Maier ()
Additional contact information
Arnold Wibmer: University of Innsbruck
Frederik Wiedmann: University of Innsbruck
Isabella Seeber: University of Innsbruck
Ronald Maier: University of Innsbruck
A chapter in Information Systems and Neuroscience, 2020, pp 31-41 from Springer
Abstract:
Abstract Decision makers ought to adapt their information acquisition (IA) contingent to the task, which has not yet been investigated in the context of idea selection. Therefore, this paper suggests an operationalization of IA switching behavior using eye-tracking data. A first data analysis indicates that raters switch between modes of high and low IA in an idea selection task. These modes of IA could be associated with compensatory and non-compensatory information integration. The extent of switches between IA modes seems to stay stable between the first and the second half of the task with a slight decreasing trend towards the end. Future research will add cognitive load to explain occurring switches between different IA modes and may allow to deduce recommendations for more efficient IT designs, preserving rater’s cognitive resources.
Keywords: Clustering; Eye-tracking; Idea selection; Information acquisition (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-60073-0_4
Ordering information: This item can be ordered from
http://www.springer.com/9783030600730
DOI: 10.1007/978-3-030-60073-0_4
Access Statistics for this chapter
More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().