Abstract
As user modelling moves away from a tightly integrated adjunct of adaptive systems and into user modelling service provision, it is important to consider what facets or characteristics of a user might need to be contained within a user model in order to support cognitive functions. Here we examine previous mechanisms for creating a metacognitive and affective user model. We then take first steps to describe the necessary characteristics of a user model we envisage being utilised by an affective metacognitive modelling service and make some suggestion for the source, form and content of such characteristics.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Wagner, E.D.: In support of a functional definition of interaction. American Journal of Distance Education 8, 6–29 (1994)
Conati, C.: How to Evaluate Models of User Affect? In: André, E., Dybkjær, L., Minker, W., Heisterkamp, P. (eds.) ADS 2004. LNCS (LNAI), vol. 3068, pp. 288–300. Springer, Heidelberg (2004)
Brusilovsky, P., Sosnovsky, S., Shcherbinina, O.: User Modeling in a Distributed E-Learning Architecture. In: Ardissono, L., Brna, P., Mitrović, A. (eds.) UM 2005. LNCS (LNAI), vol. 3538, pp. 387–391. Springer, Heidelberg (2005)
Brusilovsky, P., et al.: Learning SQL Programming with Interactive Tools: From Integration to Personalization. ACM Transactions on Computing Education 9, 1–15 (2010)
Efklides, A.: Metacognition and affect: What can metacognitive experiences tell us about the learning process? Educational Research Review 1, 3–14 (2006)
Craig, S., Graesser, A., Sullins, J., Gholson, B.: Affect and learning: An exploratory look into the role of affect in learning with AutoTutor. Journal of Educational Media 29, 241–250 (2004)
Ekman, P., Friesen, W.V.: Head and body cues in the judgment of emotion: a reformulation. Perceptual and Motor Skills 24, 711–724 (1967)
James, W.: The principles of psychology. Holt, New York (1890)
Ekman, P.: Basic emotions. In: Dalgleish, T., Power, M. (eds.) Handbook of Cognition and Emotion, vol. 98, pp. 45–60. John Wiley & Sons (1999)
Flavell, J.H.: Metacognitive aspects of problem solving. In: Resnick, L.B. (ed.) The Nature of Intelligence, pp. 231–236. Erlbaum, Hillsdale (1976)
Brown, A.L.: Metacognitive development and reading. In: Spiro, R.J., Bruce, B., Brewer, W. (eds.) Theoretical Issues in Reading Comprehension, Hillsdale, N.J, pp. 453–482 (1980)
Muzio, E., Fisher, D.J., Thomas, R., Peters, V.: Soft skills quantification (SSQ) for project manager competencies. Project Management Journal 38, 30–38 (2007)
Vygotskiǐ, L.S., Cole, M.: Mind in society: the development of higher psychological processes. Harvard University Press, Cambridge (1978)
Koedinger, K.R.: Cognitive Tutors as Modeling Tool and Instructional Model. In: Forbus, K.D., Feltovich, P.J. (eds.) Smart Machines in Education: The Coming Revolution in Educational Technology, pp. 145–168. AAAI/MIT Press, Menlo Park, CA (2001)
Anderson, J.R.: ACT: A simple theory of complex cognition. Am. Psych. 51, 355–365 (1996)
Anderson, J.R.: Rules of the Mind. Lawrence Erlbaum Associates, Inc., Hillsdale (1993)
Lesgold, A.M.: The nature and methods of learning by doing. American Psychologist 56, 964–973 (2001)
Aleven, V., McLaren, B.M., Roll, I., Koedinger, K.R.: Toward meta-cognitive tutoring: A model of help seeking with a Cognitive Tutor. International Journal of Artificial Intelligence in Education 16, 101–130 (2006)
Roll, I., Aleven, V., McLaren, B.M., Koedinger, K.R.: Can Help Seeking Be Tutored? Searching for the Secret Sauce of Metacognitive Tutoring. In: Proceedings of the 13th International Conference on Artificial Intelligence in Education (AIED 2007), pp. 203–210. IOS Press, Amsterdam (2007)
Biswas, G., Leelawong, K., Schwartz, D.L., Vye, N.: Learning by Teaching: A New Agent Paradigm for Educational Software. Applied Artificial Intelligence 19, 363–392 (2005)
Chase, C.C., Chin, D.B., Oppezzo, M.A., Schwartz, D.L.: Teachable agents and the protege effect: Increasing effort towards learning. Journal of Science Education and Technology 18, 334–352 (2009)
Conati, C.: Intelligent Tutoring Systems: New Challenges and Directions. In: Proceedings of the 14th International Conference on Artificial Intelligence in Education (AIED), Brighton, England, pp. 2–7 (2009)
Azevedo, R., Witherspoon, A., Graesser, A.: MetaTutor: Analyzing Self-Regulated Learning in a Tutoring System for Biology. Artificial Intelligence in Education 200, 635–637 (2009)
Azevedo, R., Moos, D.C., Johnson, A.M., Chauncey, A.D.: Measuring Cognitive and Metacognitive Regulatory Processes During Hypermedia Learning: Issues and Challenges. Educational Psychologist 45, 210–223 (2010)
Gama, C.: Metacognition in Interactive Learning Environments: The Reflection Assistant Model. In: Lester, J.C., Vicari, R.M., Paraguaçu, F. (eds.) ITS 2004. LNCS, vol. 3220, pp. 668–677. Springer, Heidelberg (2004)
Tobias, S., Everson, H.T.: Knowing What You Know and What You Don’t: Further Research on Metacognitive Knowledge Monitoring, New York, USA (2002)
Macarthur, V., Conlan, O.: Modeling Higher-order Cognitive Skills in Technology Enhanced Distance Learning. In: 4th International Conference on Distance Learning and Education (ICDLE), pp. 15–19 (2010)
Schraw, G., Sperling Dennison, R.: Assessing metacognitive awareness. Contemporary Educational Psychology 19, 460–475 (1994)
Robison, J.L., McQuiggan, S.W., Lester, J.C.: Modeling Task-Based vs. Affect-Based Feedback Behavior in Pedagogical Agents: An Inductive Approach. In: Proceedings of the Fourteenth International Conference on Artificial Intelligence in Education, pp. 25–32 (2009)
D’Mello, S.K., Graesser, A.: Multimodal semi-automated affect detection from conversational cues, gross body language, and facial features. User Modeling and User Adapted Interaction 20, 147–187 (2010)
Neviarouskaya, A., Prendinger, H., Ishizuka, M.: User study on AffectIM, an avatar-based Instant Messaging system employing rule-based affect sensing from text. International Journal of Human-Computer Studies 68, 432–450 (2010)
Neviarouskaya, A., Prendinger, H., Ishizuka, M.: Analysis of affect expressed through the evolving language of online communication. In: Proceedings of IUI 2007, pp. 278–281 (2007)
Beale, R., Creed, C.: Affective interaction: How emotional agents affect users. International Journal of Human-Computer Studies 67, 755–776 (2009)
Girard, S., Johnson, H.: Designing Affective Computing Learning Companions with Teachers as Design Partners. In: Proceedings of the 3rd International Workshop on Affective Interaction in Natural Environments (AFFINE 2010), pp. 49–54. ACM, New York (2010)
Lisetti, C.L., Nasoz, F.: MAUI: a multimodal affective user interface. In: Proceedings of the Tenth ACM International Conference on Multimedia, pp. 161–170. ACM (2002)
Pressley, M., Afflerbach, P.: Verbal Protocols of Reading: The Nature of Constructively Responsive Reading. Lawrence Erlbaum Associates, Hove (1995)
Ortony, A., Clore, G.L., Collins, A.: The Cognitive Structure of Emotions. Cambridge University Press (1990)
Dyer, M.: Emotions and their computations: Three computer models. Cognition & Emotion 1, 323–347 (1987)
Liu, H., Lieberman, H., Selker, T.: A model of textual affect sensing using real-world knowledge. In: Proceedings of the 8th International Conference on Intelligent User Interfaces - IUI 2003, p. 125. ACM Press, New York (2003)
Russell, J.A.: A circumplex model of affect. J. Personality and Soc. Psych. 39, 1161–1178 (1980)
Macarthur, V., Moore, A., Mulwa, C., Conlan, O.: Towards a Cognitive Model to Support Self-Reflection: Emulating Traits and Tasks in Higher Order Schemata. In: EC-TEL 2011 Workshop on Augmenting the Learning Experiene with Collaborative Reflection, Palermo, Sicily, Italy (2011)
Cattell, R.B.: Description and measurement of personality. Harcourt, Brace & World (1946)
Myers, I.B., McCaulley, M.H., Quenk, N.L., Hammer, A.L.: The MBTI manual. Consulting Psychologists Press (1998)
Ekman, P.: Facial expression and emotion. American Psychologist 48, 384–392 (1993)
Riley-Doucet, C., Wilson, S.: A three-step method of self-reflection using reflective journal writing. Journal of Advanced Nursing 25, 964–968 (1997)
Abel, F., Gao, Q., Houben, G.-J., Tao, K.: Analyzing User Modeling on Twitter for Personalized News Recommendations. In: Konstan, J.A., Conejo, R., Marzo, J.L., Oliver, N. (eds.) UMAP 2011. LNCS, vol. 6787, pp. 1–12. Springer, Heidelberg (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Moore, A., Macarthur, V., Conlan, O. (2012). Core Aspects of Affective Metacognitive User Models. In: Ardissono, L., Kuflik, T. (eds) Advances in User Modeling. UMAP 2011. Lecture Notes in Computer Science, vol 7138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28509-7_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-28509-7_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28508-0
Online ISBN: 978-3-642-28509-7
eBook Packages: Computer ScienceComputer Science (R0)