Paper Info
Title
Designing Novel Image Search Interfaces by Understanding Unique Characteristics and Usage
Abstract
In most major search engines, the interface for image search is the same as traditional Web search: a keyword query followed by a paginated, ranked list of results. Although many image search innovations have appeared in both the literature and on the Web, few have seen widespread use in practice. In this work, we explore the differences between image and general Web search to better support users' needs. First, we describe some unique characteristics of image search derived through informal interviews with researchers, designers, and managers responsible for building and deploying a major Web search engine. Then, we present results from a large scale analysis of image and Web search logs showing the differences in user behaviour. Grounded in these observations, we present design recommendations for an image search engine supportive of the unique experience of image search. We iterate on a number of designs, and describe a functional prototype that we built.
Year
DOI
Venue
2009
10.1007/978-3-642-03658-3_40
INTERACT (2)
Keywords
Field
DocType
traditional web search,image search engine,major search engine,image search innovation,general web search,present design recommendation,major web search engine,image search,present result,web search log,understanding unique characteristics,designing novel image search,search engine,design
Web search engine,Web design,Web search query,World Wide Web,Metasearch engine,Information retrieval,Semantic search,Computer science,Search engine indexing,Search analytics,Spamdexing
Conference
Volume
ISSN
Citations 
5727
0302-9743
28
PageRank 
References 
Authors
0.90
21
4
Name
Order
Citations
PageRank
Paul André1280.90
Ed Cutrell22731205.59
Desney Tan34009314.29
Greg Smith441119.46