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leventmetu

Multimodal Affect Recognition in Intelligent Tutoring Systems - 1 views

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    In human-interaction, 55% of affective information is carried by the body whilst 38% by the voice tone and volume, and only 7% person by the words spoken [1]. Ekman [2] further suggests that non-verbal behaviours are the primary vehicles for expressing emotion. With the availability of computational power, and great advances in the fields of computer vision and speech recognition, it is now possible to create systems that can detect facial expressions, gestures and body postures from video and audio feed. Furthermore, systems that can integrate different modalities can offer powerful and much more pleasant computer experiences as they would be embracing users' natural behaviour.
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    In the paper it says "According to Wolcott teachers rely on nonverbal means such as eye contact, facial expressions and body language to determine the cognitive states of students, which indicate the degree of success in the instructional transaction". I really wonder what is your opinion about it and would it be succesful to implement affect recognition (after voice-recognition) in intelligent tutoring systems.
Murat Kol

Expert passport officers better at detecting fraud using face recognition technology --... - 2 views

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    Another interesting study about expertise similar to the video related to chess players " https://www.youtube.com/watch?v=rWuJqCwfjjc&feature=player_embedded ". Should we use and extend the experts points of view while producing new technological tools for learning?
leventmetu

Podcast: Intelligent Tutoring - 2 views

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    Ken Koedinger is a professor at the Human-Computer Interaction Institute at Carnegie-Mellon University. In this interview with ELI Director Malcolm Brown, Ken discusses intelligent tutoring.
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    This interview gives clear explanation of what makes intelligent tutoring different
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    One to one interaction is missing in intelligent tutoring, which Ken Koedinger accepts :)
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    Burcu, that does not mean ITS will never have the features for one to one interaction. This is a matter of time and technology. If u can read the article "Multimodal Affect Recognition in Intelligent Tutoring Systems" below ITSs have very rapid progress for interaction.
Murat Kol

Novice or expert: How do consumers increase their knowledge about products? -- ScienceD... - 2 views

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    The study reveals how consumers increase their knowledge when they were posed to extend their existing knowledge and experience. When the learners were assumed to be consumers of knowledge, can this study be a good pathway to understand how people learn?
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    What I understood from this article is that to move from novice position to expert position, one should increase the range of their experiences. That's why novice consumers experience on a particular product. Am I right in my conclusion to this article?
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