The adaptation of visual search strategy to expected information gain

Yuan Chi Tseng, Andrew Howes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Citations (Scopus)

Abstract

An important question for Human-Computer Interaction is to understand how and why visual search strategy is adapted to the demands imposed by the task of searching the results of a search engine. There is emerging evidence that a key part of the answer concerns the expected information gain of each of the set of available information gathering actions. We build on previous research to show that people are acutely sensitive to differences in the density and in the number of items returned by the search engine. These factors cause shifts in the efficiency of the available information gathering actions. We focus on an image browsing task, and show that, as a consequence of changes to the efficiency of available actions, people make small but significant changes to eye-movement strategy.

Original languageEnglish
Title of host publication26th Annual CHI Conference on Human Factors in Computing Systems, Conference Proceedings, CHI 2008
Pages1075-1084
Number of pages10
DOIs
Publication statusPublished - 2008 Dec 22
Event26th Annual CHI Conference on Human Factors in Computing Systems, CHI 2008 - Florence, Italy
Duration: 2008 Apr 52008 Apr 10

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Other

Other26th Annual CHI Conference on Human Factors in Computing Systems, CHI 2008
CountryItaly
CityFlorence
Period08-04-0508-04-10

All Science Journal Classification (ASJC) codes

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

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