Extracting relevance and affect information from physiological text annotation-Reference-Cited by-同舟云学术

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Extracting relevance and affect information from physiological text annotation

Published:2016-11-15 Issue:5 Volume:26 Page:493-520
ISSN:0924-1868
Container-title:User Modeling and User-Adapted Interaction
language:en
Short-container-title:User Model User-Adap Inter

Author:

Barral Oswald,Kosunen Ilkka,Ruotsalo Tuukka,Spapé Michiel M.,Eugster Manuel J. A.,Ravaja Niklas,Kaski Samuel,Jacucci Giulio

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Education

Link

http://link.springer.com/content/pdf/10.1007/s11257-016-9184-8.pdf

Reference47 articles.

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2. Andreassi, J.L.: Psychophysiology: human Behavior & Physiological Response. Psychology Press, New York (2000)

3. Arapakis, I., Konstas, I., Jose, J.M.: Using facial expressions and peripheral physiological signals as implicit indicators of topical relevance. In: Proceedings of the 17th ACM International Conference on Multimedia, MM ’09, pp. 461–470, New York (2009a). ACM. ISBN 978-1-60558-608-3. doi: 10.1145/1631272.1631336

4. Arapakis, I., Moshfeghi, Y., Joho, H., Ren, R., Hannah, D., Jose, J.M.: Enriching user profiling with affective features for the improvement of a multimodal recommender system. In: Proceedings of the ACM International Conference on Image and Video Retrieval, CIVR ’09, pp. 29:1–29: 8, New York (2009b). ACM. ISBN 978-1-60558-480-5. doi: 10.1145/1646396.1646433

5. Arapakis, I., Athanasakos, K., Jose, J.M.: A comparison of general vs personalised affective models for the prediction of topical relevance. In: Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR ’10, pp. 371–378, New York (2010). ACM. ISBN 978-1-4503-0153-4. doi: 10.1145/1835449.1835512

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