Facial Expression Recognition: A Fully Integrated Approach
ICIAPW '07 Proceedings of the 14th International Conference of Image Analysis and Processing - Workshops
MKLab interactive video retrieval system
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Affective feedback: an investigation into the role of emotions in the information seeking process
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
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By analyzing explicit & implicit feedback information retrieval systems can determine topical relevance and tailor search criteria to the user's needs. In this paper we investigate whether it is possible to infer what is relevant by observing user affective behaviour. The sensory data employed range between facial expressions and peripheral physiological signals. We extract a set of features from the signals and analyze the data using classification methods, such as SVM and KNN. The results of our initial evaluation indicate that prediction of relevance is possible, to a certain extent, and implicit feedback models can benefit from taking into account user affective behavior.