PICTIVE—an exploration in participatory design
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Intelligent profiling by example
Proceedings of the 6th international conference on Intelligent user interfaces
Component-based software engineering: putting the pieces together
Component-based software engineering: putting the pieces together
Getting to know you: learning new user preferences in recommender systems
Proceedings of the 7th international conference on Intelligent user interfaces
The role of transparency in recommender systems
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Personal choice point: helping users visualize what it means to buy a BMW
Proceedings of the 8th international conference on Intelligent user interfaces
Goal-Based Construction of Preferences: Task Goals and the Prominence Effect
Management Science
Designing example-critiquing interaction
Proceedings of the 9th international conference on Intelligent user interfaces
ValueCharts: analyzing linear models expressing preferences and evaluations
Proceedings of the working conference on Advanced visual interfaces
Trust-inspiring explanation interfaces for recommender systems
Knowledge-Based Systems
User-centered design of preference elicitation interfaces for decision support
USAB'10 Proceedings of the 6th international conference on HCI in work and learning, life and leisure: workgroup human-computer interaction and usability engineering
Exploration of facilitation, materials and group composition in participatory design sessions
Proceedings of the 30th European Conference on Cognitive Ergonomics
| Hi-index | 0.00 |
Creating user preference models has become an important endeavor for HCI. Forming a preference profile is a constructive process in the user's mind depending on use context as well as a user's thinking and information processing style. We believe a one-style-fits-all approach to the design of these interfaces is not sufficient in supporting users in constructing an accurate profile. We present work towards a compositional design approach that will lead designers in the creation of preference elicitation interfaces. The core of the approach is a set of elements created based on design principles and cognitive styles of the user. Given the use context of the preference elicitation suitable elements can be identified and strategically combined into interfaces. The interfaces will be evaluated in an iterative, compositional way by target users to reach a desired outcome interface.