Paper Info
Title
CrowdAdapt: enabling crowdsourced web page adaptation for individual viewing conditions and preferences
Abstract
The range and growing diversity of new devices makes it increasingly difficult to design suitable web interfaces for every browsing client. We present CrowdAdapt - a context-aware web design tool that supports developers in the creation of adaptive layout solutions for a wide variety of use contexts by crowdsourcing web site adaptations designed for individual viewing conditions and preferences. We focus on one experiment we conducted for an existing news web site using CrowdAdapt (i) to explore the design space in terms of layout alternatives created by the crowd, (ii) to identify adaptation preferences with respect to different viewing situations, and (iii) to assess the perceived quality of crowd-generated layouts in terms of reading comfort and efficiency. The results suggest that crowdsourced adaptation could lead to very flexible web interfaces informed by individual end-user requirements. In particular, scenarios such as the adaptation to large-screen contexts that the majority of web sites fail to address could be supported with relatively little effort.
Year
DOI
Venue
2013
10.1145/2480296.2480304
EICS
Keywords
Field
DocType
context-aware web design tool,adaptation preference,design space,web site,crowdsourced adaptation,flexible web,suitable web interface,adaptive layout solution,crowdsourced web page adaptation,crowdsourcing web site,existing news web site,individual viewing condition,crowdsourcing,responsive web design
Web design,World Wide Web,Web intelligence,Web page,Computer science,Web standards,Web engineering,Human–computer interaction,Web modeling,Web navigation,Social Semantic Web,Multimedia
Conference
ISBN
Citations 
PageRank 
978-1-4503-2138-9
14
0.67
References 
Authors
17
3
Name
Order
Citations
PageRank
Michael Nebeling135629.81
Maximilian Speicher2929.81
Moira C. Norrie31317201.70