Search tactics of images' textual descriptions

Yi Ling Lin, Ren Yi Hong, Wen Lin Lan, Ihan Hsiao

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


The images' textual descriptions from experts and the general public, subject headings and social tags, are provided to facilitate image search process. Search tactics represents a series of search choices and actions with the textual descriptions provided on the systems during the search process. However, integration of different textual descriptions for image finding have rarely been investigated. This study investigates how two types of textual descriptions in relation to subject headings and social tags affect user' search tactics. Thirty-six participants were recruited for this study. Multiple methods were employed to collect data, including questionnaires, interviews, and eye-tracking analysis. Eliciting participants' viewing behaviors, this study benefits our understanding of different search tactics of users and provide adaptive mechanisms to fulfill their search needs. The results of this study provided four guidelines for practitioners when designing adaptive image search interface to fulfill users search tactics.

Original languageEnglish (US)
Title of host publicationHT 2016 - Proceedings of the 27th ACM Conference on Hypertext and Social Media
PublisherAssociation for Computing Machinery, Inc
Number of pages6
ISBN (Electronic)9781450342476
StatePublished - Jul 10 2016
Event27th ACM Conference on Hypertext and Social Media, HT 2016 - Halifax, Canada
Duration: Jul 10 2016Jul 13 2016


Other27th ACM Conference on Hypertext and Social Media, HT 2016


  • Eye tracking
  • Information retrieval
  • User behavior
  • User studies
  • Web search

ASJC Scopus subject areas

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

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  • Cite this

    Lin, Y. L., Hong, R. Y., Lan, W. L., & Hsiao, I. (2016). Search tactics of images' textual descriptions. In HT 2016 - Proceedings of the 27th ACM Conference on Hypertext and Social Media (pp. 303-308). Association for Computing Machinery, Inc.