Inferring user goals from personality and behavior in a causal model of user affect
Proceedings of the 8th international conference on Intelligent user interfaces
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UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Layered evaluation of interactive adaptive systems: framework and formative methods
User Modeling and User-Adapted Interaction
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AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
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Proceedings of the companion publication of the 19th international conference on Intelligent User Interfaces
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This paper describes how a set of stories, each conveying a personality trait from the Five Factor Model at a high or low level, were developed using Amazon's Mechanical Turk. These stories will be used to develop interfaces that adapt to personality using a User as Wizard method. The paper shows how difficult it is to construct stories that convey a single personality trait. It also shows how such stories can be constructed for most cases, and how Mechanical Turk can aid to achieve this.