Towards an effective cooperation of the user and the computer for classification
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Machine Learning for User Modeling
User Modeling and User-Adapted Interaction
Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce
Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce
1st international workshop on semantic models for adaptive interactive systems (SEMAIS 2010)
Proceedings of the 15th international conference on Intelligent user interfaces
2nd international workshop on semantic models for adaptive interactive systems (SEMAIS 2011)
Proceedings of the 16th international conference on Intelligent user interfaces
SharedLife: towards selective sharing of augmented personal memories
Reasoning, Action and Interaction in AI Theories and Systems
3rd workshop on semantic models for adaptive interactive systems (SEMAIS): (SEMAIS)
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
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Machine learning (ML) is a complex process that can hardly be carried out by non-expert users. Especially when using adaptive systems that interpret and exploit observations of the user to modify their behavior according to the user's perceived preferences, even naïve users may be confronted with learning systems. This paper presents an approach to make non-expert users understand and influence an ML system such as to improve trust and acceptance of the overall system behavior.