TY - GEN
T1 - Choice overload in search engine use?
AU - Chiravirakul, Pawitra
AU - Payne, Stephen J.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Choice satisfaction
KW - Decision behaviour
KW - Search engines
UR - https://www.scopus.com/pages/publications/84900433233
U2 - 10.1145/2556288.2557149
DO - 10.1145/2556288.2557149
M3 - Conference contribution
AN - SCOPUS:84900433233
SN - 9781450324731
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 1285
EP - 1294
BT - CHI 2014
PB - Association for Computing Machinery
T2 - 32nd Annual ACM Conference on Human Factors in Computing Systems, CHI 2014
Y2 - 26 April 2014 through 1 May 2014
ER -