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Reinforcement Sensitivity and Engagement in Proactive Recommendations: Experimental Evidence

In: Information Systems and Neuroscience

Author

Listed:
  • Laurens Rook

    (Delft University of Technology)

  • Adem Sabic

    (Alpen-Adria-University Klagenfurt)

  • Markus Zanker

    (Free University of Bozen-Bolzano)

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.

Suggested Citation

  • Laurens Rook & Adem Sabic & Markus Zanker, 2018. "Reinforcement Sensitivity and Engagement in Proactive Recommendations: Experimental Evidence," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph (ed.), Information Systems and Neuroscience, pages 9-15, Springer.
    • Handle: RePEc:spr:lnichp:978-3-319-67431-5_2
    DOI: 10.1007/978-3-319-67431-5_2
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