Paper Info
Title
Click-Search: Supporting information search with crowd-powered image-to-keyword query formulation.
Abstract
Information search is a common yet important task in everyday work and life. It remains challenging how to help users search for information or things they don’t know how to express with words. Also, even when people know how to express, the cognitive cost required to retrieve the concepts and formulate the queries can be excessive. In this paper, we present Click-Search, a search user interface that allows people to indicate their search intents by merely selecting and cropping segments of pictures. The system automatically converts cropped image segments to keywords based on known semantic labels at the level of image pixels that are generated by crowdsourced image tagging. Through a user study, we showed that Click-Search could support object-finding activities effectively with a satisfactory user experience.
Year
DOI
Venue
2018
10.1016/j.jvlc.2016.09.002
Journal of Visual Languages & Computing
Keywords
Field
DocType
Search user interface,Query formulation,Crowd-powered system,Search through interaction
Data mining,Web search query,User experience design,Search engine,Phrase search,Information retrieval,Know-how,Computer science,Pixel,Cognition,User interface
Journal
Volume
ISSN
Citations 
46
1045-926X
0
PageRank 
References 
Authors
0.34
16
3
Name
Order
Citations
PageRank
Ping-Jing Yang100.34
Hao-Chuan Wang229645.80
Yu-Hsuan Liu302.03