تقرير
Multimodal Observation and Interpretation of Subjects Engaged in Problem Solving
العنوان: | Multimodal Observation and Interpretation of Subjects Engaged in Problem Solving |
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المؤلفون: | Guntz, Thomas, Balzarini, Raffaella, Vaufreydaz, Dominique, Crowley, James L. |
المصدر: | 1st Workshop on "Behavior, Emotion and Representation: Building Blocks of Interaction'', Oct 2017, Bielefeld, Germany. 2017 |
سنة النشر: | 2017 |
المجموعة: | Computer Science Statistics |
مصطلحات موضوعية: | Computer Science - Human-Computer Interaction, Computer Science - Computer Vision and Pattern Recognition, Statistics - Machine Learning |
الوصف: | In this paper we present the first results of a pilot experiment in the capture and interpretation of multimodal signals of human experts engaged in solving challenging chess problems. Our goal is to investigate the extent to which observations of eye-gaze, posture, emotion and other physiological signals can be used to model the cognitive state of subjects, and to explore the integration of multiple sensor modalities to improve the reliability of detection of human displays of awareness and emotion. We observed chess players engaged in problems of increasing difficulty while recording their behavior. Such recordings can be used to estimate a participant's awareness of the current situation and to predict ability to respond effectively to challenging situations. Results show that a multimodal approach is more accurate than a unimodal one. By combining body posture, visual attention and emotion, the multimodal approach can reach up to 93% of accuracy when determining player's chess expertise while unimodal approach reaches 86%. Finally this experiment validates the use of our equipment as a general and reproducible tool for the study of participants engaged in screen-based interaction and/or problem solving. |
نوع الوثيقة: | Working Paper |
URL الوصول: | http://arxiv.org/abs/1710.04486 |
رقم الأكسشن: | edsarx.1710.04486 |
قاعدة البيانات: | arXiv |
الوصف غير متاح. |