Engagement in proactive recommendations: The role of recommendation accuracy, information privacy concerns and personality traits

Laurens Rook, Adem Sabic, Markus Zanker

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
45 Downloads (Pure)

Abstract

The present research explored to what extent user engagement in proactive recommendation scenarios is influenced by the accuracy of recommendations, concerns with information privacy, and trait personality. We hypothesized that people’s self-reported information privacy concerns would matter more when they received accurate (vs. inaccurate) proactive recommendations, because these pieces of advice would seem fair to them. We further hypothesized that this would particularly be the case for people high on the social personality trait Extraversion, who are by inclination prone to behaving in a more socially engaging manner. We put this to the test in a controlled experiment, in which users received manipulated proactive recommendations of high or low accuracy on their smartphone. Results indicated that information privacy concerns positively influenced a user’s engagement with proactive recommendations. Recommendation accuracy influenced user engagement in interaction with information privacy concerns and personality traits. Implications for the design of human-computer interaction for recommender systems are addressed.

Original languageEnglish
Pages (from-to)79-100
Number of pages22
JournalJournal of Intelligent Information Systems
Volume54
Issue number1
DOIs
Publication statusPublished - 2020

Keywords

  • Concerns for information privacy
  • Human-computer interaction
  • Information privacy
  • Personality-aware recommendations
  • Proactive recommendation delivery

Fingerprint Dive into the research topics of 'Engagement in proactive recommendations: The role of recommendation accuracy, information privacy concerns and personality traits'. Together they form a unique fingerprint.

Cite this