Human Problem Solving

Holyoak, K. J. (1995). Problem solving. In E. E. Smith & D. N. Osherson (Eds.), Thinking: An invitation to cognitive science (2nd ed., Vol. 3, pp. 267-296). Cambridge, MA: The MIT Press.

Hutchins, E. (1995). How a cockpit remembers its speeds. Cognitive Science, 19(3), 265-288.

Kotovsky, K., & Simon, H. A. (1990). What makes some problems really hard: explorations in the problem space of difficulty. Cognitive Psychology, 22, 143-183.

VanLehn, K. (1989). Problem solving and cognitive skill acquisition. In M. I. Posner (Ed.), Foundations of cognitive science (pp. 527-579). Cambridge, MA: The MIT Press.

Theory of Skill Acquisition

Gupta, P., & Cohen, N. (2002). Theoretical and Computational Analysis of Skill Learning, Repetition Priming, and Procedural Memory. Psychological Review, 109(2), 401-448.

VanLehn, K. (1996). Cognitive skill acquisition. Annual Review of Psychology, 47, 513-539.

Lemaire, P., & Siegler, R. S. (1995). Four aspects of strategic change: Contributions to children's learning of multiplication. Journal of Experimental Psychology: General, 124(1), 83-97.

Voss, J. F., Wiley, J., & Carretero, M. (1995). Acquiring intellectual skills. Annual Review of Psychology, 46, 155-181.

Anderson, J. R. (1982). Acquisition of cognitive skill. Psychological Review, 89(4), 369-406.

Newell, A., & Rosenbloom, P. S. (1981). Mechanisms of Skill Acquisition and the Law of Practice. In J. R. Anderson (Ed.), Cognitive Skills and Their Acquisition (pp. 1-55). Hillsdale, NJ: Erlbaum.

Learning from Examples & Problems

Kalyuga, S., Chandler, P., Tuovinen, J., & Sweller, J. (2001). When problem solving is superior to studying worked examples. Journal of Educational Psychology, 93(3), 579-588.

Rittle-Johnson, B., Siegler, R. S., & Alibali, M. W. (2001). Developing conceptual understanding and procedural skill in mathematics: An iterative process. Journal of Educational Psychology, 93(2), 346-362.

Anderson, J. R., & Fincham, J. M. (1994). Acquisition of procedural skills from examples. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20(6), 1322-1340.

Transfer

Phye, G. D. (2001). Problem-solving instruction and problem-solving transfer: The correspondence issue. Journal of Educational Psychology, 93(3), 571-578.

Caplan, L. J., & Schooler, C. (1999). On the use of analogy in text-based memory and comprehension: The interaction between complexity of within-domain encoding and between-domain processing. Journal of the Learning Sciences, 8(1), 41-70.

Catrambone, R. (1996). Generalizing solution procedures learned from examples. Journal of Experimental Psychology: Learning, Memory, and Cognition, 22(4), 1020-1031.

Schunn, C. D., & Dunbar, K. (1996). Primary, analogy, and awareness in complex reasoning. Memory and Cognition, 24(3), 271-284.

Singley, M. K., & Anderson, J. R. (1985). The transfer of text-editing skill. International Journal of Man Machine Studies, 22(4), 403-423.

Expertise

Vicente, K. J., & Wang, J. H. (1998). An ecological theory of expertise effects in memory recall. Psychological Review, 105(1), 33-57.

Ericsson, K. A., & Lehmann, A. C. (1996). Expert and exceptional performance: Evidence of maximal adaptation to task constraints. Annual Review of Psychology, 47, 273-305.

Bloom, B. S. (1985). Learning for Mastery. In C. W. Fisher & D. C. Berliner (Eds.), Perspectives on Instructional Time (pp. 73-93). White Plains, NY: Longman.

Chi, M. T. H. (1981). Categorization and representation of physics problems by experts and novices. Cognitive Science, 5, 121-152.

Intelligent Tutoring System

Design Principles

Collins, A., Neville, P., & Bielaczyc, K. (2000). The Role of Different Media in Designing Learning Environments. International Journal of Artificial Intelligence in Education, 11, 144-162.

Self, J. (1999). The defining characteristics of intelligent tutoring systems research: ITSs care, precisely. International Journal of Artificial Intelligence in Education, 10, 350-364.

Corbett, A., Koedinger, K., & Anderson, J. R. (1997). Intelligent Tutoring Systems. In M. G. Halander & T. K. Landauer & P. V. Prabhu (Eds.), Handbook of Human-Computer Interaction (2nd ed., pp. 849-874). Amsterdam: Elsevier.

Shute, V. J., & Psotka, J. (1994). Intelligent Tutoring Systems: Past, Present, and Future (AL/HR-TP-1994-0005). Brooks Air Force Base, TX: Armstrong Laboratory.

VanLehn, K. (1988). Student modeling. In M. C. Polson & J. J. Richardson (Eds.), Foundations of Intelligent Tutoring Systems (pp. 55-78). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.

Greeno, J. G., Brown, J. S., Shalin, V., Bee, N. V., Lewis, M. W., & Vitolo, T. M. (1986). Cognitive Principles of Problem Solving and Instruction (Technical Report, NR154-497). Pittsburgh, PA: University of Pittsburgh.

Ohlsson, S. (1986). Some principles of intelligent tutoring. Instructional Science, 14(3-4), 293-326.

Effectiveness of Human Tutoring

Chi, M. T. H., Silera, S. A., Jeonga, H., Yamauchia, T., & Hausmann, R. G. (2001). Learning from human tutoring. Cognitive Science, 25, 471-533.

Graesser, A. C., Person, N. K., & Magliano, J. P. (1995). Collaborative dialogue patterns in naturalistic one-to-one tutoring. Applied Cognitive Psychology, 9(6), 495-522

Merrill, D. C., Reiser, B. J., Ranney, M., & Trafton, J. G. (1992). Effective tutoring techniques: A comparison of human tutors and intelligent tutoring systems. Journal of the Learning Sciences, 2(3), 277-305.

McArthur, D., Stasz, C., & Zmuidzinas, M. (1990). Tutoring Techniques in Algebra. Cognition and Instruction, 7(3), 197-244.

Bloom, B. S. (1984). The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring. Educational Researcher, 13(6), 4-16.

Cohen, P. A., Kulik, J. A., & Kulik, C. l. C. (1982). Education outcomes of tutoring: A meta-analysis of findings. American Educational Research Journal, 19(2), 237-248.

Effective Machine Tutors

Anderson, J. R., Corbett, A. T., Koedinger, K. R., & Pelletier, R. (1995). Cognitive tutors: Lessons learned. Journal of the Learning Sciences, 4(2), 167-207.

Sleeman, D., Kelly, A. E., Martinak, R., Ward, R. D., & Moore, J. L. (1989). Studies of Diagnosis and Remediation with High School Algebra Students. Cognitive Science, 13, 551-568.

Feedback

VanLehn, K., Lynch, C., Taylor, L., Weinstein, A., Shelby, R., Schulze, K., Treacy, D., & Wintersgill, M. (2002). Minimally invasive tutoring of complex physics problem solving. In S. A. Cerri & G. Gouarderes & F. Paraguacu (Eds.), Proceedings of the 6th International Conference on Intelligent Tutoring Systems (pp. 367-376).

Hume, G., Michael, J., Rovick, A., & Evens, M. (1996). Hinting as a tactic in one-on-one tutoring. Journal of the Learning Sciences, 5(1), 23-47.

McKendree, J. (1990). Effective feedback content for tutoring complex skills. Human Computer Interaction, 5(4), 381-413.

Schooler, L. J., & Anderson, J. R. (1990). The Disruptive Potential of Immediate Feedback. In M. Piattelli-Palmarini (Ed.), Proceedings of the Annual Conference of the Cognitive Science Society (pp. 702-708): Erlbaum.

Schmidt, R. A., Young, D. E., Swinnen, S., & Shapiro, D. C. (1989). Summary knowledge of results for skill acquisition: Support for the guidance hypothesis. Journal of Experimental Psychology: Learning, Memory, and Cognition, 15(2), 352-359.

Kulik, J. A., & Kulik, C. l. C. (1988). Timing of feedback and verbal learning. Review of Educational Research, 58(1), 79-97.

Reification

Koedinger, K. R., & Anderson, J. R. (1993). Reifying implicit planning in geometry: Guidelines for model-based intelligent tutoring system design. In S. P. Lajoie & S. J. Derry (Eds.), Computers as cognitive tools (pp. 15-45). Hillsdale, NJ: Lawrence Erlbaum Associates.

Self-explanation

Aleven, V. A. W. M. M., Popescu, O., & Koedinger, K. R. (2001). A Tutorial Dialogue System with Knowledge-Based Understanding and Classification of Student Explanations. 2nd IJCAI Workshop on Knowledge And Reasoning In Practical Dialogue Systems, Seattle.

Conati, C., & VanLehn, K. (2000). Toward Computer-Based Support of Meta-Cognitive Skills: a Computational Framework to Coach Self-Explanation. International Journal of Artificial Intelligence in Education, 11, 389-415.

Aleven, V., & Ashley, K. D. (1997). Teaching Case-Based Argumentation Through a Model and Examples: Empirical Evaluation of an Intelligent Learning Environment. In B. d. Boulay & R. Mizoguchi (Eds.), Proceedings of the World Conference on Artificial Intelligence in Education (pp. 87-94). Amsterdam: IOS Press.

Intelligent Interface

General Principles

Olson, G. M., & Olson, J. S. (2003). Human-computer interaction: Psychological Aspects of the Human Use of Computing. Annual Review of Psychology, 54, 491-516.

Maybury, M. T. (2001). Intelligent User Interfaces for All. In C. Stephanidis (Ed.), User Interfaces for All: Concepts, Methods, and Tools (pp. 65-80). Mahwah, NJ: Erlbaum.

Roth, E. M., Malin, J. T., & Schreckenghost, D. L. (1997). Paradigms for Intelligent Interface Design. In M. G. Halander & T. K. Landauer & P. V. Prabhu (Eds.), Handbook of Human-Computer Interaction (2nd ed., pp. 1177-1201). Amsterdam: Elsevier.

Dahlback, N., Jonsson, A., & Ahrenberg, L. (1993). Wizard of Oz Studies - Why and How, Proc. of the International Workshop on Intelligent User Interfaces (pp. 193-199), Orland, FL: ACM.

Adaptive Systems

Brusilovsky, P. (2001). Adaptive hypermedia. User Modeling and User Adapted Interaction, 11(1-2), 87-110.

Goecks, J., & Shavlik, J. (2000). Learning Users' Interests by Unobtrusively Observing Their Normal Behavior, Proceedings of the 5th international conference on Intelligent user interfaces (pp. 129-132). New York, NY: ACM Press.

Jameson, A., Schafer, R., Weis, T., Berthold, A., & Weyrath, T. (1999). Making Systems Sensitive to the User's Time and Working Memory Constraints, Proceedings of the 4th international conference on Intelligent user interfaces (pp. 79-86). New York, NY: ACM Press.

Navigation / Information Filtering / Information Retrieval

Padovani, S., & Lansdale, M. (2003). Balancing search and retrieval in hypertext: context-specific trade-offs in navigational tool use. International Journal of Human-Computer Studies, 58(1), 125-149.

Budzik, J., Bradshaw, S., Fu, X., & Hammond, K. J. (2002). Supporting on-line resource discovery in the context of ongoing tasks with proactive software assistants. International Journal of Human-Computer Studies, 56(1), 47-74.

Hanani, U., Shapira, B., & Shoval, P. (2001). Information Filtering: Overview of Issues, Research and Systems. User Modeling and User-Adapted Interaction, 11(3), 203-259.

Collaboration and Sharing

Goecks, J., & Cosley, D. (2002). NuggetMine: intelligent groupware for opportunistically sharing information nuggets, Proceedings of the 7th international conference on Intelligent user interfaces (pp. 87-94). New York, NY: ACM Press.

Lieberman, H., Van Dyke, N. W., & Vivacqua, A. S. (1999). Let's browse: a collaborative Web browsing agent, Proceedings of the 4th international conference on Intelligent user interfaces (pp. 65-68). New York, NY: ACM Press.

Communicative Agents / Natural Language Interfaces

Litman, D. J., & Pan, S. (2002). Designing and Evaluating an Adaptive Spoken Dialogue System. User Modeling and User-Adapted Interaction, 12(2-3), 111-137.

Souvignier, B., Kellner, A., Rueber, B., Schramm, H., & Seide, F. (2000). The thoughtful elephant: strategies for spoken dialog systems. IEEE Transactions on Speech and Audio Processing, 8(1), 51-62.

Lester, J. C., Stone, B. A., & Stelling, G. D. (1999). Lifelike pedagogical agents for mixed-initiative problem solving in constructivist learning environments. User Modeling and User Adapted Interaction, 9(1-2), 1-44.

Model-based Interface

Eisenstein, J., Vanderdonckt, J., & Puerta, A. (2001). Applying model-based techniques to the development of UIs for mobile computers, Proceedings of the 6th international conference on Intelligent user interfaces (pp. 69-76). New York, NY: ACM Press.

Derthick, M., & Roth, S. F. (2001). Example based generation of custom data analysis appliances, Proceedings of the 6th international conference on Intelligent user interfaces (pp. 57-64). New York, NY: ACM Press.

Puerta, A., & Eisenstein, J. (1999). Towards a general computational framework for model-based interface development systems, Proceedings of the 4th international conference on Intelligent user interfaces (pp. 171-178). New York, NY: ACM Press.

Interface that Learns

Wolfman, S. A., Lau, T., Domingos, P., & Weld, D. S. (2001). Mixed initiative interfaces for learning tasks: SMARTedit talks back, Proceedings of the 6th international conference on Intelligent user interfaces (pp. 167-174). New York, NY: ACM Press.

McDaniel, R., & Myers, B. A. (1998). Building Applications Using Only Demonstration, Proceedings of the 3rd international conference on Intelligent user interfaces (pp. 109-116). New York, NY: ACM Press.

Visualization

Jung, T., Gross, M. D., & Do, E. Y.-L. (2002). Annotating and Sketching on 3D Web Models, Proceedings of the 7th international conference on Intelligent user interfaces. New York, NY: ACM Press.

Hsieh, H.-W., & Shipman, F. M. (2000). VITE: A Visual Interface Supporting the Direct Manipulation of Structured Data Using Two-Way Mappings, Proceedings of the 5th international conference on Intelligent user interfaces. New York, NY: ACM Press.

Kerpedjiev, S., & Roth, S. F. (2000). Mapping Communicative Goals into Conceptual Tasks to Generate Graphics in Discourse, Proceedings of the 5th international conference on Intelligent user interfaces. New York, NY: ACM Press.

Multimodal Interface

[Items added after receiving questions 3/4/2003]

Adaptive Systems

Intelligent Help

Jerrams-Smith, J. (2000). An intelligent human-computer interface for provision of on-line help. Artificial Intelligence Review, 14(1-2), 5-22.

Encarnacao, L. M., & Stoev, S. (1999). An Application-Independent Intelligent User Support System Exploiting Action-Sequence Based User Modelling. User Modeling: Proceedings of the Seventh International Conference, 245-254.