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2018 | OriginalPaper | Chapter

Reinforcement Sensitivity and Engagement in Proactive Recommendations: Experimental Evidence

Authors : Laurens Rook, Adem Sabic, Markus Zanker

Published in: Information Systems and Neuroscience

Publisher: Springer International Publishing

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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.

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Metadata
Title
Reinforcement Sensitivity and Engagement in Proactive Recommendations: Experimental Evidence
Authors
Laurens Rook
Adem Sabic
Markus Zanker
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-67431-5_2

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