Affect-awareness framework for intelligent tutoring systems

2013 6th International Conference on Human System Interactions, HSI 2013

Volumn , Issue , 2013, Pages 540-547

  Agnieszka, Landowska ^a  

^a GDANSK UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

affect awareness; affective computing; Intelligent Tutoring Systems

Indexed keywords

AFFECT-AWARENESS; AFFECTIVE COMPUTING; CONTROL MECHANISM; EMOTION RECOGNITION; EMOTIONAL STATE; INTELLIGENT TUTORING SYSTEM; MAKING DECISION;

EDUCATION COMPUTING;

COMPUTER AIDED INSTRUCTION;

EID: 84883729488     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HSI.2013.6577878     Document Type: Conference Paper

References (27)

1. Sheng Z, Zhu-ying L, Wan-xin D (2010) The model of e-learning based on affective computing. In Proc. 3rd IEEE International Conference on Advanced Computer Theory and Engineering (ICACTE): V3-269
2. Hudlicka E (2003) To feel or not to feel: The role of affect in human-computer interaction. International Journal of Human-Computer Studies, 59(1):1-32
3. Landowska A (2008) The role and construction of educational agents in distance learning environment, In Proc of the 1st International Conference on Information Technology, Gdalsk, Poland: 321-324
4. Picard R, Papert S, Bender W, Blumberg B, Breazeal C, Cavallo D, Machover T, Resnick M, Roy D, Strohecker C (2004) Affective learning-a manifesto. BT Technology Journal, 22(4):253-269
5. Ahn H and Picard R (2006) Affective cognitive learning and decision making: The role of emotions. In Proc. of 18th European Meeting on Cybernetics and Systems Research (EMCSR).
6. Bessiere K, Newhagen J, Robinson J, Shneiderman B (2006) A model for computer frustration: The role of instrumental and dispositional factors on incident, session, and post-session frustration and mood. Computers in human behavior, 22(6):941-961
7. Ang J, Dhillon R, Krupski A, Shriberg E, Stolcke A (2002) Prosody-based automatic detection of annoyance and frustration in human-computer dialog. In Proc. 7th International Conference on Spoken Language Processing
8. Calvo R, D'Mello S (2010) Affect detection: An interdisciplinary review of models, methods, and their applications. IEEE Transactions on Affective Computing, 1(1):18-37
9. Bailenson J, Pontikakis E, Mauss I, Gross J, Jabon M, Hutcherson C, Nass C, John O (2008) Real-time classification of evoked emotions using facial feature tracking and physiological responses. International journal of human-computer studies, 66(5): 303-317
10. Zeng Z, Pantic M, Roisman G, Huang T (2009) A survey of affect recognition methods: Audio, visual, and spontaneous expressions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(1):39-58
11. Boehner K, DePaula R, Dourish P, Sengers P (2007) How emotion is made and measured. International Journal of Human-Computer Studies, 65(4):275-291
12. Szwoch W (2013) Using Physiological Signals for Emotion Recognition, 6th Human-System Interaction Conference (accepted)
13. Woolf B, Burleson W, Arroyo I, Dragon T, Cooper D, Picard R (2009) Affect-aware tutors: recognising and responding to student affect. International Journal of Learning Technology, 4(3):129-164
14. Sarrafzadeh A, Alexander S, Dadgostar F, Fan C, Bigdeli A (2008) How do you know that i don't understand? A look at the future of Intelligent Tutoring Systems. Computers in Human Behavior, 24(4):1342-1363
15. Kapoor A, Picard R (2005) Multimodal affect recognition in learning environments. In Proc. of 13th annual ACM International Conference on Multimedia: 677-682
16. Kapoor A, Mota S, Picard R (2001) Towards a learning companion that recognizes affect. In AAAI Fall symposium: 2-4
17. Ekman P, Davidson R (1999) The Nature of Emotion: Fundamental Questions. Oxford University Press, 1994
18. Whissell C (2009) Using the revised Dictionary of Affect in Language to quantify the emotional undertones of samples of natural language. Psychological Reports, 105: 1-13
19. Mehrabian A (1997) Comparison of the PAD and PANAS as models for describing emotions and for differentiating anxiety from depression. Journal of psychopathology and behavioral assessment, 19(4): 331-357
20. Bartneck C (2002) Integrating the OCC model of emotions in embodied characters. In Workshop on Virtual Conversational Characters
21. Cyra L, Górski J (2008) Expert Assessment of Arguments: a Method and Its Experimental Evaluation, Lecture Notes in Computer Science, 5219:291-304
22. Kradinac U (2008) Textual emotion recognition and creative visualisation, Thesis, Belgrad, (in Serbian)
23. Bradley M, Lang P (1999) Affective norms for English words (ANEW): Instruction manual and affective ratings, Technical Report C-1, The Center for research in Psychophysiology, University of Florida
24. Konakowska A (2013) A review of emotion recognition methods based on keystroke dynamics and mouse movements, 6th Human-System Interaction Conference (accepted)
25. Landowska A (2012) Affective model for Gerda educational bot, Gdansk University of Technology FETI Technical Report 21 (in Polish)
26. Landowska A (2011) SAAF architecture for non-deterministic systems. Gdansk University of Technology FETI Technical Report 8 (in Polish)
27. Van Solingen R, Berghout E (1999) The Goal/Question/Metric Method. McGraw-Hill Education