HDMRS 2012 - Workshop on Human Decision Making in Recommender Systems

This workshop is focusing on the aspect of integrating different theories of human decision making into the construction of recommender systems.

Topics of interest include but are not limited to:
Theories, algorithms and applications
Decision theories in recommender systems (e.g., priming, framing, and decoy effects)
Trust inspiring recommendation (e.g., explanation‐aware recommendation)
Persuasive recommendation (e.g., argumentation‐aware recommendation)
The role of emotions in recommender systems (e.g., emotion‐ware recommendation)
Mechanisms for effective group decision making (e.g., group recommendation heuristics)
Detection and avoidance of decision biases (e.g., in item presentations)
Sequential decision making and selection
Applications of the above mentioned features

User modeling and preference elicitation
Modelling user information search and decision making processes in recommender systems
Preference elicitation (e.g., eye tracking for automated preference detection)
Adaptive recommendation processes
Active approaches to preference elicitation

User interfaces
User interfaces for decision making (e.g., decision strategies and user ratings)
User interfaces for group decision making (e.g., group decision making in e‐tourism)
Explanations in Recommender Systems

Evaluation
User perceptions leading to the acceptance of recommendations
The role of diversity and serendipity for the acceptance of recommendations
Cultural differences (e.g., culture‐aware recommendation)
Empirical studies and innovative metrics of system performance

Important dates

Paper submission deadline: June 15th
Notification of acceptance: July 15th
Camera-ready version deadline: July 31st
Workshop day: September 9th