Reinforcement Sensitivity and Engagement in Proactive Recommendations: Experimental Evidence

Laurens Rook (), Adem Sabic () and Markus Zanker ()
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Laurens Rook: Delft University of Technology
Adem Sabic: Alpen-Adria-University Klagenfurt
Markus Zanker: Free University of Bozen-Bolzano

A chapter in Information Systems and Neuroscience, 2018, pp 9-15 from Springer

Abstract: Abstract We drew on revised Reinforcement Sensitivity Theory to claim that users with an anxiety-related behavioral inhibition would experience proactively delivered recommendations as potential threats. Such users would display higher user engagement especially when they were interrupted by inaccurate (vs. accurate) recommendations, because they ruminate about them. This prediction was tested and confirmed in a controlled experiment that exposed participants to proactive recommendations on their smartphone. Results highlight the need to gain more knowledge on the neural correlates of anxiety, and to apply such insights to human–computer interaction design for recommender systems.

Keywords: Behavioral inhibition; Fight-flight-freeze system; Recommendation delivery; Proactivity; Human–computer interaction (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-319-67431-5_2

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DOI: 10.1007/978-3-319-67431-5_2

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