How Personality Influences Users’ Needs for Recommendation Diversity?

Li CHEN, Wen Wu, Liang He

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

58 Citations (Scopus)


The existing approaches for enhancing diversity in online recommendations neglect the user’s spontaneous needs that might be potentially influenced by her/his personality. In this paper, we report our ongoing research on exploring the actual impact of personality values on users’ needs for recommendation diversity. The results from a preliminary user survey are reported, that show the significantly causal relationship from personality factors (such as conscientiousness) to the users’ diversity preference (not only over the item’s individual attributes but also on all attributes when they are combined). We further present our plan for the follow-up work and discuss its practical implications.

Original languageEnglish
Title of host publicationCHI EA 2013 - Extended Abstracts on Human Factors in Computing Systems
Subtitle of host publicationChanging Perspectives
EditorsMichel Beaudouin-Lafon, Patrick Baudisch, Wendy E. Mackay
PublisherAssociation for Computing Machinery (ACM)
Number of pages6
ISBN (Electronic)9781450318990
Publication statusPublished - 27 Apr 2013
Event31st Annual CHI Conference on Human Factors in Computing Systems:, CHI EA 2013 - Paris, France
Duration: 27 Apr 20132 May 2013

Publication series

NameConference on Human Factors in Computing Systems - Proceedings


Conference31st Annual CHI Conference on Human Factors in Computing Systems:, CHI EA 2013

Scopus Subject Areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

User-Defined Keywords

  • Diversity
  • Personality Factors
  • Recommender Systems
  • User Survey

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