A state transition analysis of image search patterns on the web

Authors:
Abby A. Goodrum;Matthew M. Bejune;Antonio C. Siochi
Affiliations:
Syracuse University, School of Information Studies, Center for Science & Technology, Syracuse, New York;Syracuse University, School of Information Studies, Center for Science & Technology, Syracuse, New York;Christopher Newport University, Department of Physics, Computer Science & Engineering, Newport News, Virginia
Venue:
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Year:
2003

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Abstract

Image seeking behavior is a complex interaction among many factors. One approach to the study of this behavior is to examine and categorize the search moves made by individuals as they transition from one search state to another. Seventy-one image searches conducted by graduate students on the web were analyzed to identify patterns of search state transitions used and the overall frequency of specific state transitions. Over a thousand state transitions were identified within eighteen state categories. The categories included search tool and collection selection, queries, context moves, and relevance judgments. Maximal Repeating Pattern Analysis (MRP) was used to examine patterns of transition from one search state to another. The patterns of state transition sequences were conceptualized within a framework of search tactics and search strategies.