Paper Info
Title
Evaluating Design Alternatives for Feature Recommendations in Configuration Systems
Abstract
Product configuration systems are an important instrument to implement mass customization, which is a production paradigm that supports the manufacturing of highly-variant products under pricing conditions similar to mass production. Previous research indicates that supporting users of product configuration systems with personalized feature recommendations (defaults) can lead to a higher satisfaction with the configuration process. Based on these findings, we investigate the influence of different representation styles of such defaults on users' perception of the configuration system. Additionally, we explore if different representation styles of defaults have an influence on users' selection behavior. For our user study we used RecoMobile, an environment which supports the configuration of mobile phones and corresponding subscription features. We found a strong relationship between the number of accepted default proposals and the perceived user interface quality. Our results further reveal that the different representation styles have a strong impact on users' perceived overall quality of the system.
Year
DOI
Venue
2011
10.1109/CEC.2011.14
CEC
Keywords
Field
DocType
strong impact,configuration process,configuration system,product configuration system,configuration systems,different representation style,production paradigm,mass customization,design alternatives,feature recommendations,overall quality,mass production,highly-variant product,user interfaces,user interface,pricing,knowledge based systems
Mass customization,Computer science,Knowledge-based systems,Human–computer interaction,Default,Artificial intelligence,User interface,Perception,Multimedia,Machine learning
Conference
ISSN
Citations 
PageRank 
2330-9903
0
0.34
References 
Authors
14
3
Name
Order
Citations
PageRank
Monika Mandl1828.92
Alexander Felfernig21121110.93
Juha Tiihonen319117.63