2011 | OriginalPaper | Buchkapitel
Usability Guidelines for Product Recommenders Based on Example Critiquing Research
verfasst von : Pearl Pu, Boi Faltings, Li Chen, Jiyong Zhang, Paolo Viappiani
Erschienen in: Recommender Systems Handbook
Verlag: Springer US
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Over the past decade, our group has developed a suite of decision tools based on example critiquing to help users find their preferred products in e-commerce environments. In this chapter, we survey important usability research work relative to example critiquing and summarize the major results by deriving a set of usability guidelines. Our survey is focused on three key interaction activities between the user and the system: the initial preference elicitation process, the preference revision process, and the presentation of the systems recommendation results. To provide a basis for the derivation of the guidelines, we developed a multi-objective framework of three interacting criteria: accuracy, confidence, and effort (ACE). We use this framework to analyze our past work and provide a specific context for each guideline: when the system should maximize its ability to increase users’ decision accuracy, when to increase user
confidence
, and when to minimize the interaction
effort
for the users. Due to the general nature of this multi-criteria model, the set of guidelines that we propose can be used to ease the usability engineering process of other recommender systems, especially those used in e-commerce environments. The ACE framework presented here is also the first in the field to evaluate the performance of preference-based recommenders from a user-centric point of view.
Designers can use these guidelines for the implementation of an effective and successful product recommender.