Journal Papers, Conference papers, Book Chapter, Workshop/Symposium Publications
Journal Papers
  1. Conati, C., (To Appear) Commentary on: "Toward Computer-Based Support of Meta-Cognitive Skills: a Computational Framework to Coach Self-Explanation". International Journal of AI in Education, 25th-anniversary Special Issue: Most Impactful IJAED research papers commented by their authors.
  2. Steichen, B., Carenini, G., and Conati, C. (2014). Inferring Visualization Task Properties, User Performance, and User Cognitive Abilities from Eye Gaze Data. ACM Transactions on Interactive Intelligent Systems (TIIS), 4(2): 11. Tiis Best Paper Award 2014 .
  3. Conati, C., Jaques, N. and Muir M. (2013). Understanding attention to adaptive hints in educational games: an eye-tracking study. International Journal of Artificial Intelligence in Education, 23(1-4), 136-161.
  4. Porayska-Pomsta, K., Mavrikis, M., D’Mello, S., Conati C., and Baker. R. (2013). Knowledge Elicitation Methods for Affect Modelling in Education. International Journal of Artificial Intelligence in Education, 22(3), 107-140.
  5. Conati C. and Samad K. (2013). Student modeling: supporting personalized instruction, from problem solving to exploratory, open-ended interactions. AI Magazine, (to appear).
  6. Muldner K. and Conati C. (2010). Providing Adaptive Support for Meta-Cognitive Skills during Analogical Problem Solving. International Journal of AI in Education, 20(2), 99-136
  7. Bunt A., Conati C. and McGrenere J. (2010). A Mixed-initiative Approach to Interface Personalization. AI Magazine, 30(4), 58-65
  8. Amershi S. and Conati C. (2009). Combining Unsupervised and Supervised Machine Learning to Build User Models for Exploratory Learning Environments. Journal of Educational Data Mining, 1(1), 18-71
  9. Conati C. and Maclaren H. (2009). Empirically Building and Evaluating a Probabilistic Model of User Affect. User Modeling and User-Adapted Interaction, 19, 267-303
  10. Amershi S., Carenini G., Conati C., Mackworth A., Poole D. (2008). Pedagogy and Usability in Interactive Algorithm Visualisations: Designing and Evaluating CIspace. Interacting with Computers, 20(1) 64-96, Elsevier Science
  11. Conati C. and Merten C. (2007). Eye-Tracking for User Modeling in Exploratory Learning Environments: an Empirical Evaluation. Knowledge Based Systems , 20(6), Elsevier Science Publishers
  12. Conati C., Muldner K., and Carenini G. (2006). From Example Studying to Problem Solving via Tailored Computer-Based Meta-Cognitive Scaffolding: Hypotheses and Design. Technology, Instruction, Cognition, and Learning - Special Issue on Problem Solving Support in Intelligent Tutoring Systems , 4(2)
  13. Collie K., Bottorff J.L., Long B.C., and Conati C. (2006). . Distance art groups for women with breast cancer: guidelines and recommendations. Support Care Cancer, 14: 849-858
  14. Bunt A. and Conati C. (2003). Probabilistic Student Modelling to Improve Exploratory Behaviour. Journal of User Modeling and User-Adapted Interaction, , (3), 269-309
  15. Conati C. (2002). Probabilistic Assessment of User's Emotions in Educational Games. Journal of Applied Artificial Intelligence, special issue on Merging Cognition and Affect in HCI, vol. 16 (7-8), 555-575
  16. Conati C., Gertner A., and VanLehn K. (2002). Using Bayesian Networks to Manage Uncertainty in Student Modeling . Journal of User Modeling and User-Adapted Interaction , vol. 12(4), 371-417, Winner of the 2002 James Chen Annual Award for Best UMUAI Paper.
  17. Conati C. and 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, vol 11, 389-415
Strictly Refereed Conference papers
    2014 - 2017
  1. Lallé, S., Taub, M., Mudrick, N., Conati, C. and Azevedo, R. (2017). The Impact of Student Individual Differences and Visual Attention to Pedagogical Agents during Learning with MetaTutor. Proceedings of AIED 2017, 18th International Conference on Artificial Intelligence in Education, Springer LNCS
  2. Toker, D., Lalle’, S. and Conati C. (2017). Pupillometry and Head Distance to the Screen to Predict Skill Acquisition During Information Visualization Tasks. Proceedings of IUI 2017, 22nd ACM Conference on Intelligent User Interfaces, ACM
  3. Lallé, S., Mudrick, N., Taub, M., Grafsgaard, J., Conati, C. and Azevedo, R. (2016). Impact of Individual Differences on Affective Reactions to Pedagogical Agents Scaffolding. Proceedings of IVA 2016, 16th International Conference on Intelligent Virtual Agents, Springer LNCS , Best Paper Award.
  4. Lalle, S. Conati C. and Carenini G. (2016) Predicting Confusion in Information Visualization from Eye Tracking and Interaction Data. . Proceedings of IJCAI 2016, 25th International Joint Conference in Artificial Intelligence , ACM
  5. Conati C., Fratamico L., Kardan S., Roll I. (2015) Comparing representations for learner models in interactive simulations. . Proceedings of AIED 2015, 17th International Conference on Artificial Intelligence in Education , Springer LNCS, p. 74-83.
  6. Kardan S., Conati C. (2015) Providing Adaptive Support in an Interactive Simulation for Learning: an Experimental Evaluation. . Proceedings of CHI 2015, ACM SIGCHI Conference on Human Factors in Computing Systems , ACM, p. 3671-3680.
  7. Conati C., Carenini G., Toker, D. and Lalle’ S. (2015) Towards User-Adaptive Information Visualization. . Proceedings of AAAI 2015, 29th AAAI Conference on Artificial Intelligence , ACM, p. 4100-4106.
  8. Gingerich, M., Conati C., (2015) Constructing Models of User and Task Characteristics from Eye Gaze Data for User-Adaptive Information Highlighting. . Proceedings of AAAI 2015, 29th AAAI Conference on Artificial Intelligence , ACM, p. 1728-1734.
  9. Lalle, S. Toker D., Conati C. and Carenini G. (2015) Early prediction of individualized learning curves for adaptation while using an information visualization. . Proceedings of IUI 2015, 20th ACM Conference on Intelligent User Interfaces , ACM, p. 357-368
  10. Toker D., Conati C. (2014) Eye tracking to understand user differences in visualization processing with highlighting interventions . Proceedings of UMAP 2014, 21st International Conference on User Modeling, Adaptation and Personalizatio , Springer, p. 219-230
  11. Steichen, B., Wu, M., Toker, D., Conati C. and Carenini G (2014) Te,Te,Hi,Hi: Eye Gaze Sequence Analysis for Informing User-Adaptive Information Visualizations . Proceedings of UMAP 2014, 21st International Conference on User Modeling, Adaptation and Personalizatio , Springer, p. 133-144 Best Paper Award.
  12. Kardan, S., Roll, I. and Conati C.(2014). The usefulness of log based clustering in a complex simulation environment.. Proceedings of ITS 2014, 12th International Conference on Intelligent Tutoring Systems , p. 168-177. Runner Up for Best Paper Award.
  13. Jaques, N., Conati, C., Harley, J. and Azevedo, R.(2014). Predicting Affect from Gaze Data During Interaction with an Intelligent Tutoring System.. Proceedings of ITS 2014, 12th International Conference on Intelligent Tutoring Systems , p. 29-28.
  14. Carenini G., Conati C., Hoque E., Steichen B., Toker D., and Enns J. (2014). Highlighting Interventions and User Differences: Informing Adaptive Information Visualization Support.. Proceedings of CHI 2014, ACM SIGCHI Conference on Human Factors in Computing Systems, p. 1835-1844.
  15. Toker D., Steichen B., Gingerich, M., Conati C., and Carenini G. (2014). Towards Facilitating User Skill Acquisition - Identifying Untrained Visualization Users through Eye Tracking. Proceedings of IUI 2014, International Conference on Intelligent User Interfaces, p. 105-114 Runner Up for Best Paper Award.
  16. Before 2014
  17. Gutica M. and Conati C. (2013). Emotions with an Edu Game: A Detailed Analysis. In Proceedings of ACII 2013, 5th International Conference on Affective Computing and Intelligent Interaction, IEEE, p. 534-539.
  18. Bondareva D. Conati C., Feyzi-Behnagh R., Harley J., Azevedo R., and Bouchet F. (2013). Inferring Learning from Gaze Data during Interaction with an Environment to Support Self-Regulated Learning. Proceedings on AIED 2013, 16th International Conference on Artificial Intelligence in Education, Springer LNCS, 229-238.
  19. Kardan S. and Conati C. (2013). Comparing and Combining Eye Gaze and Interface Actions for Determining User Learning with an Interactive Simulation. Proceedings on UMAP 2013, 21st Conference on User Modeling, Adaptation and Personalization, Springer LNCS, 215-22. Winner of Best Paper Award.
  20. Toker D., Conati C., Steichen B., and Carenini G. (2013). Individual User Characteristics and Information Visualization: Connecting the Dots through Eye Tracking. Proceedings of CHI 2013, ACM SIGCHI Conference on Human Factors in Computing Systems, 295-304.
  21. Steichen, B., Carenini G., and Conati C. (2013). Adaptive Information Visualization: Using Gaze Data to Infer Visualization Types, Tasks, and User Characteristics. Proceedings of IUI 2013, International Conference on Intelligent User Interfaces, ACM, 317-328.Runner Up for Best Paper Award.
  22. Muir, M. and Conati, C. (2012). An Analysis of Attention to Student-Adaptive Hints in an Educational Game. Proceedings of ITS 2012, 11th International Conference of Intelligent Tutoring Systems, Springer LNCS 7315, 112-122.
  23. Kardan, S. and Conati, C. (2012). Exploring Gaze Data for Determining User Learning with an Interactive Simulation. Proceedings of UMAP 2012, the 20th International Conference on User Modeling, Adaptation, and Personalization. Springer LNCS 7379, 126-138.
  24. Toker, D., Conati, C., Carenini, G., and Haraty, M. (2012). Towards Adaptive Information Visualization: On the Influence of User Characteristics.. Proceedings of UMAP 2012, the 20th International Conference on User Modeling, Adaptation, and Personalization. Springer LNCS 7379, 274-285.
  25. Rojas, D., Kapralos, B., Cristancho, S.M., Conati, C., Collins, K., and Dubrowski, A. (2011). The Effect of Background Sound on Visual Fidelity Perception. Audio Mostly (2011), Coimbra, Portugal.
  26. Rojas, D., Kapralos, B., Cristancho, S., Collins, K., Hogue, A., Conati, C., and Dubrowski, A. (2012). Developing effective serious games: The effect of background sound on visual fidelity perception with varying texture resolution.. Medicine Meets Virtual Reality Proceedings.
  27. Kardan, S. and Conati, C. (2011). A Framework for Capturing Distinguishing User Interaction Behaviors in Novel Interfaces. Proceedings of EDM 2011, 4th International Conference on Educational datamining, 159-168.
  28. Bernardini, A. and Conati, C. (2010). Discovering and Recognizing Interaction Patterns in Exploratory Learning Environments. ITS 2010, 125-134.
  29. Conati C. and Manske M. (2009). Evaluating Adaptive Feedback in an Educational Computer Game. Proceedings of IVA 2009, 9th International Conference on Intelligent Virtual Agents, Lecture Notes in Artificial Intelligence 5773. Springer Verlag, p.146-158.
  30. Conati C. and Maclaren H. (2009). Modeling User Affect from Causes and Effects. Proceedings of UMAP 2009, First and Seventeenth International Conference on User Modeling, Adaptation and Personalization, Springer.
  31. Conati C. and Manske M. (2009). Adaptive Feedback in an Educational Game for Number Factorization.. Proceedings of AIED 2009, Proceedings of the 14th International Conference on Artificial Intelligence in Education, 518-583.
  32. Hernanzez Y., Sucar E., and Conati C. (2009). Incorporating an Affective Behaviour Model into an Educational Game. Proceedings of FLAIR 2009, 22nd International Conference of the Florida Artificial Intelligence Society, ACM Press.
  33. Conati C. and Maclaren H. (2008). Exploring the Role of Individual Differences in Information Visualization. Proceeding of AVI 2008, International Working Conference on Advanced Visual Interfaces, ACM Press.
  34. Conati C., Merten C., Amershi S. and Muldner K. (2007). Using Eye-tracking Data for High-Level User Modeling in Adaptive Interfaces. Proceedings of AAAI 07, Twenty-Second AAAI Conference on Artificial Intelligence, Nectar Track. Menlo Park, CA: AAAI Press
  35. Bunt A., McGrenere J. an d Conati C. (2007). Understanding the Utility of Rationale in a Mixed-Initiative System for GUI Customization. Proceedings of UM 2007, the 11th International Conference on User Modeling, p. 155-164
  36. Ameshi S. and Conati C.(2007). Unsupervised and Supervised Machine Learning in User Modeling for Intelligent Learning Environments. Proceedings of the 2007 International Conference on Intelliget User Interfaces, p.72-81.
  37. Bunt A., Conati C. and McGrenere J. (2007). Supporting Interface Customization Using a Mixed-Initiative Approach. Proceedings of the 2007 International Conference on Intelliget User Interfaces, p. 92-101. Winner of the Best Paper Award.
  38. Muldner K. and Conati C. (2007). Evaluating a Decision-Theoretic Approach to Tailored Example Selection. Proceedings of IJCAI 2007, 20th International Joint Conference in Artificial Intelligence, p. 483-488.
  39. Amershi S. and Conati C. (2006). Automatic Recognition of Learner Groups in Exploratory Learning Environments. Proceedings of ITS 2006, 8th International Conference on Intelligent Tutoring Systems, Lecture Notes in Computer Science, Volume 4053/2006, Springer Berlin / Heidelberg
  40. Merten C and Conati C. (2006). Eye-Tracking to Model and Adapt to User Meta-cognition in Intelligent Learning Environments. Proceedings of IUI 06, International Conference on Intelligent User Interfaces, Sindey, Australia
  41. Manske M. and Conati C. (2005). Modelling Learning in Educational Games. Proceedings of AIED 05, Proceedings of the 12th International Conference on AI in Education, Amsterdam, July 19-23.
  42. Conati C., Merten C, Muldner K., and Ternes D. (2005) Exploring Eye Tracking to Increase Bandwidth in User Modeling. Proceedings ofUM2005 User Modeling: Proceedings of the Tenth International Conference. Lecture Notes in Computer Science, Volume 3538/2005, Springer Berlin / Heidelberg.
  43. Conati C and Mclaren H. (2005). Data-driven Refinement of a Probabilistic Model of User Affect. Proceedings ofUM2005 User Modeling: Proceedings of the Tenth International Conference, Lecture Notes in Computer Science, Volume 3538/2005, Springer Berlin / Heidelberg
  44. Muldner K. and Conati C. (2005). Using Similarity to Infer Meta-Cognitive Behaviors During Analogical Problem Solving. Proceedings ofin UM2005 User Modeling: Proceedings of the Tenth International Conference, Lecture Notes in Computer Science, Volume 3538/2005, Springer Berlin / Heidelberg.
  45. Amershi S., Arksey N., Carenini G., Conati C., Mackworth A., Maclaren H., Poole D. (2005) Designing CIspace: pedagogy and usability in a learning environment for AI. To appear in ITiCSE ’05, 10thAnnual Conference on Information and Technology in Computer Science Education, Monte de Caparica, June 27-29, 2005.
  46. Conati C. and Mclaren H. (2004). Evaluating A Probabilistic Model of Student Affect. Proceedings of ITS 2004, 7th International Conference on Intelligent Tutoring Systems, Lecture Notes in Computer Science, Volume 3220/2004, Springer Berlin / Heidelbergp. 55-66.
  47. Bunt A., Conati C and Muldner K. (2004). Scaffolding self-explanation to improve learning in exploratory learning environments. Proceedings of ITS 2004, 7th International Conference on Intelligent Tutoring Systems, Lecture Notes in Computer Science, Volume 3220/2004, Springer Berlin / Heidelberg, p.656-667.
  48. Conati C. (2004) How to evaluate models of user affect?. Proceedings of ADS 04, Tutorial and Research Workshop on Affective Dialogue Systems. Lecture Notes in Computer Science, Volume 3068/2004, Springer Berlin / Heidelberg. p. 288-300.
  49. Conati C. and Zhao X. (2004). Building and Evaluating an Intelligent Pedagogical Agent to Improve the Effectiveness of an Educational Game. Proceedings of IUI '04, International Conference on Intelligent User Interfaces, Island of Madeira, Portugal, p. 6-13.
  50. Bunt A., Conati C. and MacGrenere J. (2004). What Role Can Adaptive Support Play in an Adaptable System? Proceedings of IUI '04, International Conference on Intelligent User Interfaces, Island of Madeira, Portugal, p. 117-124
  51. Zhou X. and Conati C. (2003). Inferring User Goals from Personality and Behavior in a Causal Model of User Affect. In Proceedings of IUI 2003, International Conference on Intelligent User Interfaces, Miami, FL, U.S.A. p. 211-218.
  52. Conati C. and Zhou X. (2002). Modeling Students’ Emotions from Cognitive Appraisal in Educational Games . In Proceedings of ITS 2002, 6th International Conference on Intelligent Tutoring Systems, Biarritz, France.
  53. Bunt A and Conati C. (2002). Assessing Effective Exploration in Open Learning Environments Using Bayesian Networks . In Proceedings of ITS 2002, 6th International Conference on Intelligent Tutoring Systems, Biarritz, France.
  54. Conati C. and Carenini G. (2001) Generating Tailored Examples to Support Learning via Self-explanation . In Proceedings of IJCAI '01, the Seventeenth International Joint Conference on Artificial Intelligence, Seattle, WA.
  55. Bunt A., Conati C., Hugget M. and Muldner K. (2001) On Improving the Effectiveness of Open Learning Environments through Tailored Support for Exploration . In Proceedings of AIED 2001, 10th World Conference of Artificial Intelligence and Education, S. Antonio, Texas.
  56. Conati C. and VanLehn K. (2001). Providing adaptive support to the understanding of instructional material. In Proceedings of IUI 2001, International Conference on Intelligent User Interfaces.
  57. Conati C., and VanLehn K. (2000). Further results from the evaluation of an intelligent computer tutor to coach self-explanation . In Lecture Notes in Computer Science: Intelligent Tutoring Systems, 5th International Conference, ITS2000. Montreal, Canada. Springer.
  58. Conati C., and VanLehn K. (1999). Teaching meta-cognitive skills: implementation and evaluation of a tutoring system to guide self-explanation while learning from examples . In Proceedings of AIED ‘99, 9th World Conference of Artificial Intelligence and Education, Le Man, France. Winner of the "Outstanding Paper" Award
  59. Gertner, A.S., Conati, C, and VanLehn, K. (1998). Procedural Help in Andes: Generating Hints Using a Bayesian Network Student Model . In Proceedings of the 15th National Conference on Artificial Intelligence, Madison, Wisconsin.
  60. Conati C., Gertner A., VanLehn K., Druzdzel M. (1997). On-Line Student Modeling for Coached Problem Solving Using Bayesian Networks . In Jameson A., Paris C., Tasso C., (eds.) User Modeling; Proceedings of the sixth International Conference UM97. SpringerWienNewYork. Winner of the "Best Paper" Award.
  61. Conati C., Larkin J. and VanLehn K. (1997). A Computer Framework to Support Self-explanation . In du Boulay B., Mizoguchi R., (eds.) Artificial Intelligence in Education; Proceedings of the eighth World Conference. Knowledge and Media in Learning Systems. IOS Press, Ohmsha
  62. Conati C., VanLehn K., (1996). POLA: a Student Modeling Framework for Probabilistic On-Line Assessment of Problem Solving Performance . In Proceedings of UM-96, Fifth International Conference on User Modeling , Kailua-Kona, Hawaii.
  63. Conati C., VanLehn K. (1996) Probabilistic Plan Recognition for Cognitive Apprenticeship . In G. Cottrell. (Ed.), Proceedings of the 18th Annual Conference of the Cognitive Science Society, Lawrence Erlbaum Associates, NJ.
  64. Conati C., Fain Lehman, J., (1993). Toward a Model of Student Education in Microworlds . In M. Polson (Ed.) Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society. Hillsdale, NJ, Erlbaum.
  65. Conati C., Fain Lehman, J., (1993). EFH-Soar: Modeling Education in Highly Interactive Microworlds . In Lecture Notes in Artificial Intelligence. Advances in Artificial intelligence, AI-IA ’93 Springer Verlag, Berlin.
  66. Conati C., Slack J., (1992). Accessing Information through Graphics. In Neumann B. and Horn W. (eds) Proceedings of the 10th European Conference on Artificial Intelligence, ECAI-92, Vienna, Austria. John Wiley & Sons, NY.
  67. Conati C., Slack J., (1992) Effective Graphics: Accessing Spatial Relations. In Proceedings of HCI '92: People and Computers, Cambridge, Cambridge University Press.
  68. Slack J.M., Conati C., (1992). Encoding Information through spatial relations. In Catarci, T., Costabile, M. F., Levialdi, S. (Eds.), Proceedings of the International Workshop AVI ’92, Advanced Visual Interfaces . World Scientific, NY.
  69. Slack J., Conati C., (1990). A Framework for Exploring Exploration. In Proceedings 5th European Conference on Cognitive Ergonomics [ECCE-5] , Urbino, Italy.
  70. Conati C., Valenti P., Cerri S.A., (1989). Explo-Unix: un ambiente di apprendimento intelligente. (Explo-Unix: an intelligent learning environment). Atti di Didamatica, AICA, Bari, Italy.
Book Chapters
  1. Conati C. (2013). Virtual Butler: What Can We Learn From Adaptive User Interfaces? In R. Trappl (Ed.): Your Virtual Butler: The Making-of. LNAI 7407. Springer-Verlag, Berlin Heidelberg, (to apperar).
  2. Muir M. and Conati C. (2012). Understanding Student Attention to Adaptive Hints with Eye-Tracking. In: Best of UMAP 2011 Workshops on User Modeling, Adaptation and Personalization. Ardissono L. and Kuflik T. (Eds.), Springer LNCS 7138, 148-160.
  3. Conati C. (2012). Modeling and scaffolding self-explanation across domains and activities. To appear in: International Handbook of Metacognition and Learning Technologies. Azevedo R. and Aleven V. (Eds), Springer, NY, 20 pages.
  4. Muldner K. and Conati C. (2012). A Decision-Theoretic Tutor for Analogical Problem Solving. In: Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions. Sucar L. E., Morales E. F. and Hoey J. (Eds.) IGI Global, 219-24.
  5. Conati C. (2011). Combining cognitive appraisal and sensors for affect detection in a framework for modeling user affect. In: New Perspectives on Affect and Learning Technologies. Calvo R. and D’Mello S. (Eds.), Springer, New York, 71-84.
  6. Conati C. (2010). Bayesian Student Modeling. In: Advances in Intelligent Tutoring Systems. Nkambou R., Bordeau, J. and Mizokuchi R. (Eds.), Studies in Computational Intelligence 308, Springer, 281-299.
  7. Conati C. (2010). Student Modeling and Intelligent Tutoring Beyond Coached Problem Solving. In: Adaptive Technologies for Training and Education. Durlag P. and Lesgold A. (Eds.) Cambridge University Press.
  8. Amershi S. and Conati C. (2010). Automatic Recognition of Learner Types in Exploratory Learning Environments. In: Handbook of Educational Data Mining. Baker R. and Barnes T. (Eds.) Taylor and Francis.
  9. Bunt A., Carenini, G. and Conati C. (2007). Adaptive Content Presentation for the Web. In: The Adaptive Web, Methods and Strategies of Web Personalization. Brusilovsky P., Kobsa, A., and Nejdl, W. (Eds). Springer LNCS 4321, 409-432.
  10. Carenini G. and Conati C. (2005) Generating Tailored Worked-out Problem Solutions to Help Students Learn from Examples, in Multimodal Intelligent Information Presentation, Text, Speech and Language Technology Series, Vol. 27, Oliviero Stock and Massimo Zancanaro eds,Kluwer Academic Publishers.
  11. Conati C. and Klawe M. (2002). Socially Intelligent Agents in Educational Games . In Socially Intelligent Agents - Creating Relationships with Computers and Robots. Dautenhahn K., Bond A., Canamero D, and Edmonds B., (Eds). Kluwer Academic Publishers.

Refereed Workshop and Symposium Publications
  1. Davoodi, A., Kardan, S., Conati, C. (2013). Understanding Users’ Interaction Behavior with an Intelligent Educational Game: Prime Climb.. AIED 2013 Workshops Proceedings Volume 2 Scaffolding in Open-Ended Learning Environments (OELEs), 9-16.
  2. Kardan, S., Conati, C. (2013). Evaluation of a Data Mining Approach to Providing Adaptive Support in an Open-Ended Learning Environment: A Pilot Study.. AIED 2013 Workshops Proceedings Volume 2 Scaffolding in Open-Ended Learning Environments (OELEs), 41-48.
  3. Conati, C., Hoque, E., Toker, D., Steichen, B. (2013). When to Adapt: Detecting User’s Confusion During Visualization Processing.. Proc. of the 1st International Workshop on User-Adaptive Information Visualization (WUAV 2013), in conjunction with the 21st conference on User Modeling, Adaptation and Personalization (UMAP 2013).
  4. Kardan S. and Conati C. (2012). Providing Adaptive Support in an Exploratory Learning Environment by Mining User Interaction Data. ITS 2012 workshop on Intelligent Support of Exploratory Environments, (ISEE@ITS2012).
  5. Muir M., Davoodi A, and Conati C. (2011). Understanding Student Attention to Adaptive Hints with Eye-Tracking. Proceedings of PALE Workshop at UMAP 2011, 19-24.
  6. Flagg A., Harati M., Carenini G., and Conati C. (2011). The role of eye-tracking in User-Adaptive Information Visualization. Proceedings of the 2nd Workshop on Eye Gaze in Intelligent Human Machine Interaction at IUI 2011, 2 pages.
  7. Muir M., Davoodi A. and Conati C. (2011). Prime Climb: a User-Adaptive Educational Game. Accepted for the Work in Progress Session of the GRAND 2011 conference, 4 pages.
  8. Muldner K. and Conati C. (2005). AAAI Spring Symposium on Metacognition in Computation. March 21-23 2005, Stanford, California, 86-91.
  9. Conati, C. and Zhou X. (2004). A Probabilistc Framework for Recognizing and Affecting Emotions. Proceedings of the AAAI 2004 Spring Symposium on Architectures for Modeling Emotions, Stanford University, CA, U.S.A.
  10. Conati, C. and Bunt, A. (2004). Student Modeling for Open Learning Adaptive Hypermedia. Proceedings of the First International Workshop on Authoring of Adaptive and Adaptable Educational Hypermedia, in conjunction with WBE 2004, International Conference on Web-Based Education, Innsbruck, Austria.
  11. Conati, C., Chabbal, R., and Maclaren, H. (2003). A Study on Using Biometric Sensors for Detecting User Emotions in Educational Games. Proceedings of the Workshop "Assessing and Adapting to User Attitude and Affects: Why, When and How?". In conjunction with UM '03, 9th International Conference on User Modeling, Pittsburgh, PA, U.S.A.
  12. Conati C. (2001). Modeling Students' Emotions to Improve Learning with Educational Games. Proceedings of the 2001 AAAI Fall Symposium on Emotional and Intelligent II: the Tangled Knot of Social Cognition, North Falmouth, U.S.A, AAAI Press.
  13. Conati C. (2001). Probabilistic Assessment of User Emotions During the Interaction with Educational Games. Proceedings of the Workshop "Attitude, Personality and Emotions in User-Adapted Interaction". In Conjunction with UM '01, 8th International Conference on User Modeling, Sonthofen, Germany. 7 pages.
  14. Conati C. and Klawe M. (2000). Socially Intelligent Agents to Improve the Effectiveness of Educational games. Proceedings of the 2000 AAAI Fall Symposium "Socially Intelligent Agents: the Human in the Loop", North Falmouth, U.S.A, AAAI Press, p. 29-34.
  15. Conati, C. (2000). Adaptive Support for Coaching Meta-Cognitive Skills. Proceedings of the AAAI Spring Symposium on Adaptive User Interfaces, Stanford University, CA, U.S.A, p. 28-30.