%0 Book Section %1 kasia2009investigating %A Muldner, Kasia %A Christopherson, Robert %A Atkinson, Robert %A Burleson, Winslow %B User Modeling, Adaptation, and Personalization %C Heidelberg %D 2009 %E Houben, Geert-Jan %E McCalla, Gord %E Pianesi, Fabio %E Zancanaro, Massimo %I Springer %K affect eye_tracking learning physiological_measures pupil_size sota_brainwave sota_fwf user_model %P 138--149 %T Investigating the Utility of Eye-Tracking Information on Affect and Reasoning for User Modeling %U http://dx.doi.org/10.1007/978-3-642-02247-0_15 %X We investigate the utility of an eye tracker for providing information on users’ affect and reasoning. To do so, we conducted a user study, results from which show that users’ pupillary responses differ significantly between positive and negative affectivestates. As far as reasoning is concerned, while our analysis shows that larger pupil size is associated with more constructivereasoning events, it also suggests that to disambiguate between different kinds of reasoning, additional information may beneeded. Our results show that pupillary response is a promising non-invasive avenue for increasing user model bandwidth.

@incollection{kasia2009investigating, abstract = {We investigate the utility of an eye tracker for providing information on users’ affect and reasoning. To do so, we conducted a user study, results from which show that users’ pupillary responses differ significantly between positive and negative affectivestates. As far as reasoning is concerned, while our analysis shows that larger pupil size is associated with more constructivereasoning events, it also suggests that to disambiguate between different kinds of reasoning, additional information may beneeded. Our results show that pupillary response is a promising non-invasive avenue for increasing user model bandwidth.}, added-at = {2009-10-22T11:54:46.000+0200}, address = {Heidelberg}, author = {Muldner, Kasia and Christopherson, Robert and Atkinson, Robert and Burleson, Winslow}, biburl = {https://www.bibsonomy.org/bibtex/29f077c976606fccc932cf0b8465d156c/tobold}, booktitle = {User Modeling, Adaptation, and Personalization}, description = {SpringerLink - Buchkapitel}, editor = {Houben, Geert-Jan and McCalla, Gord and Pianesi, Fabio and Zancanaro, Massimo}, interhash = {7e40c80f4ed8c692717e0dd65b11a374}, intrahash = {9f077c976606fccc932cf0b8465d156c}, keywords = {affect eye_tracking learning physiological_measures pupil_size sota_brainwave sota_fwf user_model}, pages = {138--149}, publisher = {Springer}, timestamp = {2009-10-22T11:55:03.000+0200}, title = {Investigating the Utility of Eye-Tracking Information on Affect and Reasoning for User Modeling}, url = {http://dx.doi.org/10.1007/978-3-642-02247-0_15}, year = 2009 }