IT922

Course Name: 

Topics In Affective Computing (IT922)

Programme: 

Ph.D

Credits (L-T-P): 

4

Content: 

Introduction to affective computing; Emotion research from Cyber Psychology & Behaviour: concepts related to ‘affective computing' (e.g., emotion, mood, personality, attitude) in ways that facilitate their use in computing; Computational models of human emotion processes (e.g., decision-making models that account for the influence of emotion; predictive models of user emotional state); Studies on cross- cultural, group and cross-language differences in emotional expression; Behavior Generation & User Interaction: Computational models of visual, acoustic and textual emotional expression for synthetic and robotic agents; Models of verbal and nonverbal expression of various forms of affect that facilitate machine implementation; Methods to adapt interaction with technology to the affective state of users; Computational methods for influencing the emotional state of people; New methods for defining and evaluating the usability of affective systems and the role of affect in usability; Methods of emotional profiling and adaptation in mid- to long-term interaction; Application of affective computing including education, health care, entertainment, customer service, design, vehicle operation, social agents/robotics, affective ambient intelligence, customer experience measurement, multimedia retrieval, surveillance systems, biometrics, music retrieval and generation; Sensing & Analysis: Algorithms and features for the recognition of affective state from face and body gestures; Analysis of text and spoken language for emotion recognition; Analysis of prosody and voice quality of affective speech; Recognition of auditory and visual affect bursts; Recognition of affective state from central (e.g. fMRI, EEG) and peripheral (e.g. GSR) physiological measures; Methods for multi-modal recognition of affective state; Recognition of group emotion.

References: 

Picard, R. (2000), "Affective Computing", Cambridge, MA: MIT Press.
Fellous, J-M, and Arbib, M. (2005), "Who Needs Emotions? The Brain Meets the Robot", Oxford University Press.
Minsky, M. (2007), "The Emotion Machine: Commonsense Thinking, Artificial Intelligence & Future of Human Mind", NY, NY: Simon & Schuster.
Lewis, M., Haviland-Jones, J.M., Feldman Barrett, L. (2010), "Handbook of Emotions", Third Edition. NY, NY: The Guilford Press.
Journal Articles from IEEE Transactions on Affective Computing [2010 to Till Date].

Department: 

Information Technology

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Department of Information Technology,
National Institute of Technology Karnataka,
SurathkalP. O. Srinivasnagar, Mangalore - 575 025
Ph.:    +91-824-2474056
Email:  hodit [at] nitk [dot] edu [dot] in
 

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