Title
FaThumb: a facet-based interface for mobile search
Abstract
In this paper we describe a novel approach for searching large data sets from a mobile phone. Existing interfaces for mobile search require keyword text entry and are not suited for browsing. Our alternative uses a hybrid model to de-emphasize tedious keyword entry in favor of iterative data filtering. We propose navigation and selection of hierarchical metadata (facet navigation), with incremental text entry to further narrow the results. We conducted a formative evaluation to understand the relative advantages of keyword entry versus facet navigation for both browse and search tasks on the phone. We found keyword entry to be more powerful when the name of the search target is known, while facet navigation is otherwise more effective and strongly preferred.
Year
DOI
Venue
2006
10.1145/1124772.1124878
CHI
Keywords
Field
DocType
mobile search,keyword text entry,facet navigation,facet-based interface,large data set,tedious keyword entry,incremental text entry,search target,keyword entry,iterative data,search task,zoomable user interface,mobile devices,formative evaluation,mobile device
Metadata,Data set,Mobile search,Information retrieval,Computer science,Human–computer interaction,Phone,Mobile device,Facet (geometry),Mobile phone,Multimedia,Formative assessment
Conference
ISBN
Citations 
PageRank 
1-59593-372-7
55
2.44
References 
Authors
16
5
Name
Order
Citations
PageRank
Amy K. Karlson1102748.44
George Robertson253891448.94
Daniel C. Robbins3942115.00
Mary Czerwinski45028421.65
Greg R. Smith5552.44