Personalization systems: Effects of risk propensity and congruency of suggestive guidance on risk taking behavior

Asli Y. Akbulut-Bailey, Robin S. Poston, Clayton A. Looney

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Using a laboratory experiment, this study designs and tests a personalization system that captures an important user personality trait of risk propensity and subsequently offers suggestive guidance that varies in congruency with the users' natural risk taking tendencies. Findings suggest that when the personalization system recommends an aggressive course of action, both high and low propensity individuals take greater risks, with high risk propensity users taking significantly higher risks than low risk propensity users. However, all users make conservative decisions when the system suggests a conservative course of action. In essence, providing incongruent offerings to risk-seeking users nUllifies the effects of their risk propensity. As such, the findings suggest that offering congruency interacts with user personality traits. Implications for theory and practice are discussed.

Original languageEnglish
Title of host publication2010 4th International Conference on Research Challenges in Information Science - Proceedings, RCIS 2010
PublisherIEEE Computer Society
Pages569-578
Number of pages10
ISBN (Print)9781424448401
DOIs
StatePublished - 2010
Event2010 4th International Conference on Research Challenges in Information Science, RCIS 2010 - Nice, France
Duration: May 19 2010May 21 2010

Publication series

Name2010 4th International Conference on Research Challenges in Information Science - Proceedings, RCIS 2010

Conference

Conference2010 4th International Conference on Research Challenges in Information Science, RCIS 2010
Country/TerritoryFrance
CityNice
Period05/19/1005/21/10

Keywords

  • Human-computer interaction
  • Offering congruency
  • Personalization systems
  • Risk propensity
  • Risk taking
  • Suggestive guidance
  • User personality traits
  • Web site design

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