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Choice overload in search engine use?

  • Department of Computer Science, University of Bath

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Citations (Scopus)

Abstract

Search engines typically return so many results that choosing from the list might be predicted to suffer from the effects of "choice overload". Preliminary work has reported just such an effect [12]. In this paper a series of three experiments was conducted to investigate the choice overload effect in search engine use. Participants were given search tasks and presented with either six or twentyfour returns to choose from. The results revealed that the choice behaviour was strongly influenced by the ranking of returns, and that choice satisfaction was affected by the number of options and the decision time. The main results, from the third experiment, showed that large sets of options yielded a positive effect on participants' satisfaction when they made a decision without time limit. When time was more strongly constrained, choices from small sets led to relatively higher satisfaction. Our studies show how user satisfaction with found information can be affected by processing strategies that are influenced by search engine design features.

Original languageEnglish
Title of host publicationCHI 2014
Subtitle of host publicationOne of a CHInd - Conference Proceedings, 32nd Annual ACM Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
Pages1285-1294
Number of pages10
ISBN (Print)9781450324731
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event32nd Annual ACM Conference on Human Factors in Computing Systems, CHI 2014 - Toronto, ON, Canada
Duration: 26 Apr 2014 → 1 May 2014

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference32nd Annual ACM Conference on Human Factors in Computing Systems, CHI 2014
Country/TerritoryCanada
CityToronto, ON
Period26/04/14 → 1/05/14

Keywords

  • Choice satisfaction
  • Decision behaviour
  • Search engines

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