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ORCIDCristina Conati
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- affiliation: University of British Columbia, Canada
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2020 – today
- 2023
[c112]Rohit Murali
, Cristina Conati, Roger Azevedo:
Predicting Co-occurring Emotions in MetaTutor when Combining Eye-Tracking and Interaction Data from Separate User Studies. LAK 2023: 388-398- [i10]Fabio Hellmann, Silvan Mertes, Mohamed Benouis, Alexander Hustinx, Tzung-Chien Hsieh, Cristina Conati, Peter Krawitz, Elisabeth André:
GANonymization: A GAN-based Face Anonymization Framework for Preserving Emotional Expressions. CoRR abs/2305.02143 (2023) - 2022
- [j29]Hassan Khosravi, Simon Buckingham Shum, Guanliang Chen, Cristina Conati, Yi-Shan Tsai, Judy Kay, Simon Knight, Roberto Martínez Maldonado, Shazia Wasim Sadiq, Dragan Gasevic:
Explainable Artificial Intelligence in education. Comput. Educ. Artif. Intell. 3: 100074 (2022) - [j28]Martijn Millecamp, Cristina Conati, Katrien Verbert:
"Knowing me, knowing you": personalized explanations for a music recommender system. User Model. User Adapt. Interact. 32(1-2): 215-252 (2022) - [c111]Özge Nilay Yalçin, Sébastien Lallé, Cristina Conati:
An Intelligent Pedagogical Agent to Foster Computational Thinking in Open-Ended Game Design Activities. IUI 2022: 633-645 - [e10]Giulio Jacucci, Samuel Kaski, Cristina Conati, Simone Stumpf, Tuukka Ruotsalo, Krzysztof Gajos:
IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22 - 25, 2022. ACM 2022, ISBN 978-1-4503-9144-3 [contents] - [e9]Giulio Jacucci, Samuel Kaski, Cristina Conati, Simone Stumpf, Tuukka Ruotsalo, Krzysztof Gajos:
IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22 - 25, 2022 - Companion Volume. ACM 2022, ISBN 978-1-4503-9145-0 [contents] - [i9]Matteo Rizzo, Cristina Conati, Daesik Jang, Hui Hu:
Evaluating the Faithfulness of Saliency-based Explanations for Deep Learning Models for Temporal Colour Constancy. CoRR abs/2211.07982 (2022) - [i8]Matteo Rizzo, Alberto Veneri, Andrea Albarelli, Claudio Lucchese, Cristina Conati:
A Theoretical Framework for AI Models Explainability. CoRR abs/2212.14447 (2022) - 2021
- [j27]Cristina Conati, Oswald Barral, Vanessa Putnam, Lea Rieger:
Toward personalized XAI: A case study in intelligent tutoring systems. Artif. Intell. 298: 103503 (2021) - [j26]Oswald Barral, Sébastien Lallé, Alireza Iranpour, Cristina Conati:
Effect of Adaptive Guidance and Visualization Literacy on Gaze Attentive Behaviors and Sequential Patterns on Magazine-Style Narrative Visualizations. ACM Trans. Interact. Intell. Syst. 11(3-4): 28:1-28:46 (2021) - [j25]Sébastien Lallé, Dereck Toker, Cristina Conati:
Gaze-Driven Adaptive Interventions for Magazine-Style Narrative Visualizations. IEEE Trans. Vis. Comput. Graph. 27(6): 2941-2952 (2021) - [c110]Sébastien Lallé, Rohit Murali, Cristina Conati, Roger Azevedo:
Predicting Co-occurring Emotions from Eye-Tracking and Interaction Data in MetaTutor. AIED (1) 2021: 241-254 - [c109]Martijn Millecamp, Cristina Conati, Katrien Verbert:
Classifeye: Classification of Personal Characteristics Based on Eye Tracking Data in a Recommender System Interface. IUI Workshops 2021 - [c108]Sébastien Lallé, Özge Nilay Yalçin, Cristina Conati:
Combining Data-Driven Models and Expert Knowledge for Personalized Support to Foster Computational Thinking Skills. LAK 2021: 375-385 - [i7]Sébastien Lallé, Cristina Conati:
A Framework to Counteract Suboptimal User-Behaviors in Exploratory Learning Environments: an Application to MOOCs. CoRR abs/2106.07555 (2021) - [i6]Matteo Rizzo, Cristina Conati, Daesik Jang, Hui Hu:
Cascading Convolutional Temporal Colour Constancy. CoRR abs/2106.07955 (2021) - 2020
- [j24]Cristina Conati, Sébastien Lallé, Md. Abed Rahman, Dereck Toker:
Comparing and Combining Interaction Data and Eye-tracking Data for the Real-time Prediction of User Cognitive Abilities in Visualization Tasks. ACM Trans. Interact. Intell. Syst. 10(2): 12:1-12:41 (2020) - [c107]Sébastien Lallé, Cristina Conati:
A Data-Driven Student Model to Provide Adaptive Support During Video Watching Across MOOCs. AIED (1) 2020: 282-295 - [c106]Shane D. Sims, Cristina Conati:
A Neural Architecture for Detecting User Confusion in Eye-tracking Data. ICMI 2020: 15-23 - [c105]Oswald Barral, Sébastien Lallé, Grigorii Guz, Alireza Iranpour, Cristina Conati:
Eye-Tracking to Predict User Cognitive Abilities and Performance for User-Adaptive Narrative Visualizations. ICMI 2020: 163-173 - [c104]Cristina Conati:
Toward User-adaptive Visualizations. ICPRAM 2020: 7 - [c103]Oswald Barral, Sébastien Lallé, Cristina Conati:
Understanding the effectiveness of adaptive guidance for narrative visualization: a gaze-based analysis. IUI 2020: 1-9 - [c102]Julia Sheidin, Joel Lanir, Cristina Conati, Dereck Toker, Tsvi Kuflik:
The effect of user characteristics in time series visualizations. IUI 2020: 380-389 - [c101]Oswald Barral, Hyeju Jang, Sally Newton-Mason, Sheetal Shajan, Thomas Soroski, Giuseppe Carenini, Cristina Conati, Thalia Shoshana Field:
Non-Invasive Classification of Alzheimer's Disease Using Eye Tracking and Language. MLHC 2020: 813-841 - [c100]Cristina Conati:
The Eyes Are the Windows to the Mind: Implications for AI-Driven Personalized Interaction. UMAP 2020: 1 - [c99]Martijn Millecamp, Nyi Nyi Htun, Cristina Conati, Katrien Verbert:
What's in a User? Towards Personalising Transparency for Music Recommender Interfaces. UMAP 2020: 173-182 - [c98]Sébastien Lallé, Tiffany Wu, Cristina Conati:
Gaze-Driven Links for Magazine Style Narrative Visualizations. IEEE VIS (Short Papers) 2020: 166-170 - [e8]Fabio Paternò, Nuria Oliver, Cristina Conati, Lucio Davide Spano, Nava Tintarev:
IUI '20: 25th International Conference on Intelligent User Interfaces, Cagliari, Italy, March 17-20, 2020. ACM 2020, ISBN 978-1-4503-7118-6 [contents] - [i5]Shane D. Sims, Cristina Conati:
A Neural Architecture for Detecting Confusion in Eye-tracking Data. CoRR abs/2003.06434 (2020)
2010 – 2019
- 2019
- [j23]Dereck Toker, Cristina Conati, Giuseppe Carenini:
Gaze analysis of user characteristics in magazine style narrative visualizations. User Model. User Adapt. Interact. 29(5): 977-1011 (2019) - [c97]Sébastien Lallé, Cristina Conati, Dereck Toker:
A gaze-based experimenter platform for designing and evaluating adaptive interventions in information visualizations. ETRA 2019: 60:1-60:3 - [c96]Sébastien Lallé, Cristina Conati:
The role of user differences in customization: a case study in personalization for infovis-based content. IUI 2019: 329-339 - [c95]Martijn Millecamp, Nyi Nyi Htun, Cristina Conati, Katrien Verbert:
To explain or not to explain: the effects of personal characteristics when explaining music recommendations. IUI 2019: 397-407 - [c94]Vanessa Putnam, Cristina Conati:
Exploring the Need for Explainable Artificial Intelligence (XAI) in Intelligent Tutoring Systems (ITS). IUI Workshops 2019 - [c93]Dereck Toker, Róbert Móro, Jakub Simko, Mária Bieliková, Cristina Conati:
Impact of English Reading Comprehension Abilities on Processing Magazine Style Narrative Visualizations and Implications for Personalization. UMAP 2019: 309-317 - [i4]Shane D. Sims, Vanessa Putnam, Cristina Conati:
Predicting Confusion from Eye-Tracking Data with Recurrent Neural Networks. CoRR abs/1906.11211 (2019) - [i3]Sébastien Lallé, Dereck Toker, Cristina Conati:
Gaze-Driven Adaptive Interventions for Magazine-Style Narrative Visualizations. CoRR abs/1909.01379 (2019) - [i2]Vanessa Putnam, Lea Riegel, Cristina Conati:
Toward XAI for Intelligent Tutoring Systems: A Case Study. CoRR abs/1912.04464 (2019) - 2018
- [j22]Vanessa Echeverría, Roberto Martínez Maldonado, Simon Buckingham Shum, Katherine Chiluiza, Roger Granda, Cristina Conati:
Exploratory versus Explanatory Visual Learning Analytics: Driving Teachers' Attention through Educational Data Storytelling. J. Learn. Anal. 5(3) (2018) - [c92]Sébastien Lallé, Cristina Conati, Roger Azevedo:
Prediction of Student Achievement Goals and Emotion Valence during Interaction with Pedagogical Agents. AAMAS 2018: 1222-1231 - [c91]Dereck Toker, Cristina Conati, Giuseppe Carenini:
User-adaptive Support for Processing Magazine Style Narrative Visualizations: Identifying User Characteristics that Matter. IUI 2018: 199-204 - [c90]Vanessa Echeverría, Roberto Martínez Maldonado, Roger Granda, Katherine Chiluiza, Cristina Conati, Simon Buckingham Shum:
Driving data storytelling from learning design. LAK 2018: 131-140 - [i1]Cristina Conati, Kaska Porayska-Pomsta, Manolis Mavrikis:
AI in Education needs interpretable machine learning: Lessons from Open Learner Modelling. CoRR abs/1807.00154 (2018) - 2017
- [j21]Lauren Fratamico, Cristina Conati, Samad Kardan, Ido Roll:
Applying a Framework for Student Modeling in Exploratory Learning Environments: Comparing Data Representation Granularity to Handle Environment Complexity. Int. J. Artif. Intell. Educ. 27(2): 320-352 (2017) - [c89]Sébastien Lallé, Michelle Taub, Nicholas V. Mudrick, Cristina Conati, Roger Azevedo:
The Impact of Student Individual Differences and Visual Attention to Pedagogical Agents During Learning with MetaTutor. AIED 2017: 149-161 - [c88]Sébastien Lallé, Cristina Conati, Roger Azevedo, Michelle Taub, Nicholas Mudrick:
On the Influence on Learning of Student Compliance with Prompts Fostering Self-Regulated Learning. EDM 2017 - [c87]Cristina Conati, Sébastien Lallé, Md. Abed Rahman, Dereck Toker:
Further Results on Predicting Cognitive Abilities for Adaptive Visualizations. IJCAI 2017: 1568-1574 - [c86]Dereck Toker, Sébastien Lallé, Cristina Conati:
Pupillometry and Head Distance to the Screen to Predict Skill Acquisition During Information Visualization Tasks. IUI 2017: 221-231 - [c85]Sébastien Lallé, Cristina Conati, Giuseppe Carenini:
Impact of Individual Differences on User Experience with a Visualization Interface for Public Engagement. UMAP (Adjunct Publication) 2017: 247-252 - [c84]Dereck Toker, Cristina Conati:
Leveraging Pupil Dilation Measures for Understanding Users' Cognitive Load During Visualization Processing. UMAP (Adjunct Publication) 2017: 267-270 - [c83]Sébastien Lallé, Cristina Conati, Giuseppe Carenini:
Impact of Individual Differences on User Experience with a Real-World Visualization Interface for Public Engagement. UMAP 2017: 369-370 - 2016
- [j20]Cristina Conati:
Commentary on: "Toward Computer-Based Support of MetaCognitive Skills: a Computational Framework to Coach Self Explanation". Int. J. Artif. Intell. Educ. 26(1): 183-192 (2016) - [j19]Cristina Conati, Mirela Gutica:
Interaction with an Edu-Game: A Detailed Analysis of Student Emotions and Judges' Perceptions. Int. J. Artif. Intell. Educ. 26(4): 975-1010 (2016) - [j18]Sébastien Lallé, Cristina Conati, Giuseppe Carenini:
Prediction of individual learning curves across information visualizations. User Model. User Adapt. Interact. 26(4): 307-345 (2016) - [c82]Sébastien Lallé, Cristina Conati, Giuseppe Carenini:
Predicting Confusion in Information Visualization from Eye Tracking and Interaction Data. IJCAI 2016: 2529-2535 - [c81]Sébastien Lallé, Nicholas V. Mudrick, Michelle Taub, Joseph F. Grafsgaard, Cristina Conati, Roger Azevedo:
Impact of Individual Differences on Affective Reactions to Pedagogical Agents Scaffolding. IVA 2016: 269-282 - [e7]Jeffrey Nichols, Jalal Mahmud, John O'Donovan, Cristina Conati, Massimo Zancanaro:
Proceedings of the 21st International Conference on Intelligent User Interfaces, IUI 2016, Sonoma, CA, USA, March 7-10, 2016. ACM 2016, ISBN 978-1-4503-4137-0 [contents] - [e6]Jeffrey Nichols, Jalal Mahmud, John O'Donovan, Cristina Conati, Massimo Zancanaro:
Companion Publication of the 21st International Conference on Intelligent User Interfaces, IUI 2016, Sonoma, CA, USA, March 7-10, 2016. ACM 2016, ISBN 978-1-4503-4140-0 [contents] - 2015
- [c80]Matthew Gingerich, Cristina Conati:
Constructing Models of User and Task Characteristics from Eye Gaze Data for User-Adaptive Information Highlighting. AAAI 2015: 1728-1734 - [c79]Cristina Conati, Giuseppe Carenini, Dereck Toker, Sébastien Lallé:
Towards User-Adaptive Information Visualization. AAAI 2015: 4100-4106 - [c78]Cristina Conati, Lauren Fratamico, Samad Kardan, Ido Roll:
Comparing Representations for Learner Models in Interactive Simulations. AIED 2015: 74-83 - [c77]Samad Kardan, Cristina Conati:
Providing Adaptive Support in an Interactive Simulation for Learning: An Experimental Evaluation. CHI 2015: 3671-3680 - [c76]Sébastien Lallé, Dereck Toker, Cristina Conati, Giuseppe Carenini:
Prediction of Users' Learning Curves for Adaptation while Using an Information Visualization. IUI 2015: 357-368 - [c75]Max Birk, Dereck Toker, Regan L. Mandryk, Cristina Conati:
Modeling Motivation in a Social Network Game Using Player-Centric Traits and Personality Traits. UMAP 2015: 18-30 - [e5]Cristina Conati, Neil T. Heffernan, Antonija Mitrovic, M. Felisa Verdejo:
Artificial Intelligence in Education - 17th International Conference, AIED 2015, Madrid, Spain, June 22-26, 2015. Proceedings. Lecture Notes in Computer Science 9112, Springer 2015, ISBN 978-3-319-19772-2 [contents] - 2014
- [j17]Cristina Conati, Giuseppe Carenini, Enamul Hoque, Ben Steichen, Dereck Toker:
Evaluating the Impact of User Characteristics and Different Layouts on an Interactive Visualization for Decision Making. Comput. Graph. Forum 33(3): 371-380 (2014) - [j16]Ben Steichen, Cristina Conati, Giuseppe Carenini:
Inferring Visualization Task Properties, User Performance, and User Cognitive Abilities from Eye Gaze Data. ACM Trans. Interact. Intell. Syst. 4(2): 11:1-11:29 (2014) - [c74]Giuseppe Carenini, Cristina Conati, Enamul Hoque, Ben Steichen, Dereck Toker, James T. Enns:
Highlighting interventions and user differences: informing adaptive information visualization support. CHI 2014: 1835-1844 - [c73]Natasha Jaques, Cristina Conati, Jason M. Harley, Roger Azevedo:
Predicting Affect from Gaze Data during Interaction with an Intelligent Tutoring System. Intelligent Tutoring Systems 2014: 29-38 - [c72]Samad Kardan, Ido Roll, Cristina Conati:
The Usefulness of Log Based Clustering in a Complex Simulation Environment. Intelligent Tutoring Systems 2014: 168-177 - [c71]Dereck Toker, Ben Steichen, Matthew Gingerich, Cristina Conati, Giuseppe Carenini:
Towards facilitating user skill acquisition: identifying untrained visualization users through eye tracking. IUI 2014: 105-114 - [c70]Ben Steichen, Michael M. A. Wu, Dereck Toker, Cristina Conati, Giuseppe Carenini:
Te, Te, Hi, Hi: Eye Gaze Sequence Analysis for Informing User-Adaptive Information Visualizations. UMAP 2014: 183-194 - [c69]Dereck Toker, Cristina Conati:
Eye Tracking to Understand User Differences in Visualization Processing with Highlighting Interventions. UMAP 2014: 219-230 - 2013
- [j15]Kaska Porayska-Pomsta, Manolis Mavrikis, Sidney K. D'Mello, Cristina Conati, Ryan Shaun Joazeiro de Baker:
Knowledge Elicitation Methods for Affect Modelling in Education. Int. J. Artif. Intell. Educ. 22(3): 107-140 (2013) - [j14]Cristina Conati, Natasha Jaques, Mary Muir:
Understanding Attention to Adaptive Hints in Educational Games: An Eye-Tracking Study. Int. J. Artif. Intell. Educ. 23(1-4): 136-161 (2013) - [j13]Cristina Conati, Samad Kardan:
Student Modeling: Supporting Personalized Instruction, from Problem Solving to Exploratory Open Ended Activities. AI Mag. 34(3): 13-26 (2013) - [j12]David Rojas, Bill Kapralos, Andrew Hogue, Karen Collins, Lennart E. Nacke, Sayra Cristancho, Cristina Conati, Adam Dubrowski:
The Effect of Sound on Visual Fidelity Perception in Stereoscopic 3-D. IEEE Trans. Cybern. 43(6): 1572-1583 (2013) - [j11]Qing Li, Xiangfeng Luo, Liu Wenyin, Cristina Conati:
Introduction to the special section on intelligent tutoring and coaching systems. ACM Trans. Intell. Syst. Technol. 4(2): 28:1-28:2 (2013) - [c68]Mirela Gutica, Cristina Conati:
Student Emotions with an Edu-game: A Detailed Analysis. ACII 2013: 534-539 - [c67]Daria Bondareva, Cristina Conati, Reza Feyzi-Behnagh, Jason M. Harley, Roger Azevedo, François Bouchet:
Inferring Learning from Gaze Data during Interaction with an Environment to Support Self-Regulated Learning. AIED 2013: 229-238 - [c66]Alireza Davoodi, Samad Kardan, Cristina Conati:
Understanding Users' Interaction Behavior with an Intelligent Educational Game: Prime Climb. AIED Workshops 2013 - [c65]Samad Kardan, Cristina Conati:
Evaluation of a Data Mining Approach to Providing Adaptive Support in an Open-Ended Learning Environment: A Pilot Study. AIED Workshops 2013 - [c64]Dereck Toker, Cristina Conati, Ben Steichen, Giuseppe Carenini:
Individual user characteristics and information visualization: connecting the dots through eye tracking. CHI 2013: 295-304 - [c63]Alireza Davoodi, Cristina Conati:
Degeneracy in Student Modeling with Dynamic Bayesian Networks in Intelligent Edu-Games. EDM 2013: 220-223 - [c62]Alireza Davoodi, Samad Kardan, Cristina Conati:
Mining User's Behaviors in Intelligent Educational Games: Prime Climb a Case Study. EDM 2013: 310-311 - [c61]Ayanna M. Howard, David Johnson, Cristina Conati, Frederick W. Chen, Nikolaj S. Bjørner:
Invited Talk Abstracts. FLAIRS 2013 - [c60]Ben Steichen, Giuseppe Carenini, Cristina Conati:
User-adaptive information visualization: using eye gaze data to infer visualization tasks and user cognitive abilities. IUI 2013: 317-328 - [c59]Giuseppe Carenini, Cristina Conati, Enamul Hoque, Ben Steichen:
User Task Adaptation in Multimedia Presentations. UMAP Workshops 2013 - [c58]Cristina Conati, Enamul Hoque, Dereck Toker, Ben Steichen:
When to Adapt: Detecting User's Confusion During Visualization Processing. UMAP Workshops 2013 - [c57]Samad Kardan, Cristina Conati:
Comparing and Combining Eye Gaze and Interface Actions for Determining User Learning with an Interactive Simulation. UMAP 2013: 215-227 - [c56]Ben Steichen, Oliver Schmid, Cristina Conati, Giuseppe Carenini:
Seeing how you're Looking - Using Real-Time Eye Gaze Data for User-Adaptive Visualization. UMAP Workshops 2013 - [p2]Cristina Conati:
Virtual Butler: What Can We Learn from Adaptive User Interfaces? Your Virtual Butler 2013: 29-41 - [e4]Yukiko I. Nakano, Cristina Conati, Thomas Bader:
Eye Gaze in Intelligent User Interfaces. Springer 2013, ISBN 978-1-4471-4783-1 [contents] - 2012
- [c55]Mary Muir, Cristina Conati:
An Analysis of Attention to Student - Adaptive Hints in an Educational Game. ITS 2012: 112-122 - [c54]David Rojas, Bill Kapralos, Sayra Cristancho, Karen Collins, Andrew Hogue, Cristina Conati, Adam Dubrowski:
Developing Effective Serious Games: The Effect of Background Sound on Visual Fidelity Perception with Varying Texture Resolution. MMVR 2012: 386-392 - [c53]Samad Kardan, Cristina Conati:
Exploring Gaze Data for Determining User Learning with an Interactive Simulation. UMAP 2012: 126-138 - [c52]Ben Steichen, Giuseppe Carenini, Cristina Conati:
Adaptive Information Visualization - Predicting user characteristics and task context from eye gaze. UMAP Workshops 2012 - [c51]Dereck Toker, Cristina Conati, Giuseppe Carenini, Mona Haraty:
Towards Adaptive Information Visualization: On the Influence of User Characteristics. UMAP 2012: 274-285 - 2011
- [c50]Cristina Conati, Giuseppe Carenini, Mona Harati, Dereck Toker, Nicholas FitzGerald, Anna Flagg:
User-Adaptive Visualizations: Can Gaze Data Tell Us When a User Needs Them? Scalable Integration of Analytics and Visualization 2011 - [c49]Samad Kardan, Cristina Conati:
A Framework for Capturing Distinguishing User Interaction Behaviors in Novel Interfaces. EDM 2011: 159-168 - [c48]Yukiko I. Nakano, Cristina Conati, Thomas Bader:
2nd workshop on eye gaze in intelligent human machine interaction. IUI 2011: 479-480 - [c47]Mary Muir, Cristina Conati:
Understanding Student Attention to Adaptive Hints with Eye-Tracking. UMAP Workshops 2011: 148-160 - [e3]Mykola Pechenizkiy, Toon Calders, Cristina Conati, Sebastián Ventura, Cristóbal Romero, John C. Stamper:
Proceedings of the 4th International Conference on Educational Data Mining, Eindhoven, The Netherlands, July 6-8, 2011. www.educationaldatamining.org 2011, ISBN 978-90-386-2537-9 [contents] - 2010
- [j10]Kasia Muldner, Cristina Conati:
Scaffolding Meta-Cognitive Skills for Effective Analogical Problem Solving via Tailored Example Selection. Int. J. Artif. Intell. Educ. 20(2): 99-136 (2010) - [c46]Andrea Bernardini, Cristina Conati:
Discovering and Recognizing Student Interaction Patterns in Exploratory Learning Environments. Intelligent Tutoring Systems (1) 2010: 125-134 - [p1]Cristina Conati:
Bayesian Student Modeling. Advances in Intelligent Tutoring Systems 2010: 281-299
2000 – 2009
- 2009
- [j9]Andrea Bunt, Cristina Conati, Joanna McGrenere:
Mixed-Initiative Interface Personalization as a Case Study in Usable AI. AI Mag. 30(4): 58-64 (2009) - [j8]Cristina Conati, Heather Maclaren:
Empirically building and evaluating a probabilistic model of user affect. User Model. User Adapt. Interact. 19(3): 267-303 (2009) - [c45]Stephen Grossberg, Kurt VanLehn, Cristina Conati, Arthur C. Graesser, John C. Cherniavsky:
Invited Speaker Abstracts. AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems 2009 - [c44]Cristina Conati, Micheline Manske:
Adaptive Feedback in an Educational Game for Number Factorization. AIED 2009: 581-583 - [c43]Cristina Conati, Tanja Mitrovic:
Closing the Affective Loop in Intelligent Learning Environments. AIED 2009: 810 - [c42]Yasmín Hernández, Luis Enrique Sucar, Cristina Conati:
Incorporating an Affective Behavior Model into an Educational Game. FLAIRS 2009 - [c41]Cristina Conati:
Intelligent Tutoring Systems: New Challenges and Directions. IJCAI 2009: 2-7 - [c40]Cristina Conati, Micheline Manske:
Evaluating Adaptive Feedback in an Educational Computer Game. IVA 2009: 146-158 - [c39]Cristina Conati, Heather Maclaren:
Modeling User Affect from Causes and Effects. UMAP 2009: 4-15 - [e2]