Employing textual and facial emotion recognition to design an affective tutoring system

Turkish Online Journal of Educational Technology

Volumn 11, Issue 4, 2012, Pages 418-426

  Lin, Hao Chiang Koong ^a   Wang, Cheng Hung ^a   Chao, Ching Ju ^b   Chien, Ming Kuan ^a  

^a NATIONAL UNIVERSITY OF TAINAN   (Taiwan)

^b Department of Interior Design   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84867179607     PISSN: 13036521     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (37)

1. Abulibdeh E. S. & Hassan S. S. S. (2011). E-learning interactions, information technology self efficacy and student achievement at the University of Sharjah, UAE, AJET, Australasian Journal of Educational Technology, 27(6), 1014-1025.
2. Alexander, S. T. V., & Sarrafzadeh, A. (2004). Interfaces that Adapt Like Humans. Proceedings of Asia-Pacific Computer-Human Interaction, Rotorua, New Zealand.
3. Ammar M. B., Neji M., Alimi A. M., & Gouardères G (2010). The Affective Tutoring System. Expert Systems with Applications, 37, 3013-3023.
4. Brooke, J. (1996). SUS: A quick and dirty usability scale. In Jordan, P., Thomas, B., Weerdmeester, B., & McClelland, I. (Eds.), Usability evaluation inindustry (pp. 189-194): Taylor & Francis.
5. Cootes T. F., Taylor C. J., Cooper D. H., & Graham J. (1992). Training Models of Shape from Sets of Examples. in Proc. British Machine Vision Conference. Springer-Verlag, 9-18.
6. Creswell, J. W. (2008). Education research: planning conducting, and evaluating quantitative and qualitative research (3rd ed.). Upper Saddle River, N. J.: Pearson Education, Inc.
7. Creswell, J. W., & Clark, V. L. P. (2007). Designing and conducting mixed methods research. Thousand Oaks: Sage Publications.
8. Ekman P. & Friesen W.V. (1978). The Facial Action Coding System: A Technique for the Measurement of Facial Movement. San Francisco: Consulting Psychologists Press.
9. Gay, L. R., Mills, G. E., & Airasian, P. (2009). Education research: Competencies for analysis and applications (9th ed.). Upper Saddle River, N. J.: Prentice Hall.
10. Gerald, C. (2004). Reading lessons: The debate over literacy. New York: Hill & Wang.
11. Isman I. & Isbilen O. (2010). Usability Level of Distance Education Website (Sakarya University Sample). The Turkish Online Journal of Educational Technology, 9(1), 243-258.
12. Kort, B., Reilly, R., & Picard, R. W. (2001). An affective model of interplay between emotions and learning: reengineering educational pedagogy-building a learning companion. In Proceedings of the 2nd IEEE international conference on advanced learning technologies (ICALT), 43, IEEE CS Press.
13. Lester, J. C., Towns, S. G., & FitzGerald, S. G. (1999). Achieving affective impact: Visual emotive communication in lifelike pedagogical agents. International Journal of AI in Education, 10(3-4), 278-291.
14. Li, T.-Y. & Cheng, Y.-C. (2011). Trends of information technologies and new media research, Journal of Communication Research and Practice, 1(1), 75-80.
15. Li, T.-Y. & Huang, P.-Z. (2007). Planning Versatile Motions for Humanoid in a Complex Environment, Humanoid Robot, edited by M. Hackel, Advanced Robotic Systems, Vienna, Austria.
16. Liao, C.-H., Li, T.-Y., & Chang, C.-Y. (2010). Feedback Timing for Intelligent Tutoring System Based on Open-Ended Questions, in Proceedings of the 6th Taiwan e-Learning Forum (TWELF2010), Taichung, Twiwan.
17. Lin K. H.-C., Hsieh M.-C., & Wang W.-J. (2011a), The Human-like Emotions Recognition using Mutual Information and Semantic Clues, LNCS, Lecture Notes in Computer Science, 6872, 464-470.
18. Lin K. H.-C., Hsieh M.-C., Liu E. Z.-F., Chuang T.-Y. (2012). Interacting with Visual Poems: An AR-Based Digital Artwork", TOJET, Turkish Online Journal of Educational Technology, January, 2012 issue.
19. Lin K. H.-C., Tsai I-H., Sun R.-T., (2011b). Ontology-based Affective Tutoring System on Digital Arts, WACI 2011, SSCI 2011 Workshop on Affective Computational Intelligence (IEEE Symposium Series on Computational Intelligence), Paris, France.
20. Lutes, K.D., Chang, K., & Baggili, I. M. Diabetic e-Management System (2006). Proceedings of the Third International Conference on Information Technology: New Generations. 619-624.
21. Manovich, Lev (2001). The Language of New Media, Massachusetts: MIT Press.
22. Mao X. & Li Z. (2009). Implementing Emotion-Based User-Aware E-Learning, Spotlight on Works in Progress, CHI, Boston, MA, USA.
23. Merton, R. K., Fiske, M., & Kendall, P. L. (1990). The focused interview: A manual of problems and procedures. (2nd ed.). London: Collier MacMillan.
24. MIT Media Lab Affective Computing Group (2008). Affective Computing, retrieved from http://affect.media.mit.edu/index.php
25. Morgan, D. L. (1996). Focus Groups. Annual Review of Sociology, 22, 129-152.
26. Njustyw (2010). Active Shape Model Library (ASMLibrary 5.0) SDK.
27. Picard R. W., 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, 122(4).
28. Pintrich, P. R., Smith, D. A. F., Garcia, T., & McKeachie, W. J. (1991). A manual for the use of the motivated strategies for learning questionnaire (MSLQ). MI: National Center for Research to Improve Postsecondary Teaching and Learning. (Eric Document Reproduction Service No. ED 338 112).
29. Silva, L.C.D., & Ng, P.C. (2000). Bimodal emotion recognition. In Proceedings of the International Conference on Automatic Face & Gesture Recognition. Grenoble, France, 332-335.
30. Strauss, A., & Corbin, J. (1990). Basic of qualitative research: Grounded theory procedures & techniques. Thousand Oaks, CA: Sage.
31. Tsai C.-F., Tsai C.-T., Hung C.-S. & Hwang P.-S. (2011). Data mining techniques for identifying students at risk of failing a computer proficiency test required for graduation, AJET, Australasian Journal of Educational Technology, 27(3), 481-498.
32. Tsai I-H., Lin K. H.-C., Sun R.-T. (2010). Affective Computing by Emotion Inference and Advanced Semantic Analysis, JIT, Special Issue on Ambient Intelligence, Journal of Internet Technology, 42(2), 15-28.
33. Vesterinen, E. (2001). Affective Computing. Tik-111.590 Digital media research seminar, Helsinki, Finland.
34. Wang C.-H., Lin K. H.-C., Chen Y.-C., & Hsieh M.-C. (2011). Preliminary discussion of Affective Tutoring System-An Example on Digital Arts Learning, Global Chinese Conference on Computers in Education (GCCCE 2011).
35. Wang Y., & Guan L. (2005). Recognizing human emotion from audiovisual information, Proceedings of IEEE International Conference on Acoustics, Speech, and SIgnal Processing (ICASSP), 2, 1125-1128, Philadelphia, PA, USA, March 18-23.
36. Willems, J. (2011). Using learning styles data to inform e-learning design: A study comparing undergraduates, postgraduates and e-educators, AJET, Australasian Journal of Educational Technology, 27(6), 863-880.
37. Yeo T. M., & Que C. L. (2011). Investigating design and technology students' peer interactions in a technology-mediated learning environment: A case study, AJET, Australasian Journal of Educational Technology, 27(4), 751-76.