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ORCIDCristina Conati
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- affiliation: University of British Columbia, Canada
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2020 – today
- 2024
[c124]Cristina Conati
:
AI-Driven Personalization to Support Human-AI Collaboration. EICS (Companion) 2024: 5-6- [c123]Omair Shahzad Bhatti, Harshinee Sriram, Abdulrahman Mohamed Selim, Cristina Conati, Michael Barz, Daniel Sonntag:
Detecting when Users Disagree with Generated Captions. ICMI Companion 2024: 195-203 - [c122]Silvan Mertes, Tobias Huber, Christina Karle, Katharina Weitz, Ruben Schlagowski, Cristina Conati, Elisabeth André:
Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers. IJCAI 2024: 467-475 - [c121]Anan Schütt, Tobias Huber, Jauwairia Nasir, Cristina Conati, Elisabeth André:
Does Difficulty even Matter? Investigating Difficulty Adjustment and Practice Behavior in an Open-Ended Learning Task. LAK 2024: 253-262 - [c120]Vedant Bahel, Harshinee Sriram, Cristina Conati:
Initial results on personalizing explanations of AI hints in an ITS. UMAP 2024: 244-248 - [c119]Matteo Rizzo, Cristina Conati, Daesik Jang, Hui Hu:
Evaluating the Faithfulness of Causality in Saliency-Based Explanations of Deep Learning Models for Temporal Colour Constancy. xAI (3) 2024: 125-142 - [e11]Cristina Conati, Gualtiero Volpe, Ilaria Torre:
Proceedings of the 2024 International Conference on Advanced Visual Interfaces, AVI 2024, Arenzano, Genoa, Italy, June 3-7, 2024. ACM 2024 [contents] - [i15]Vedant Bahel, Harshinee Sriram, Cristina Conati:
Personalizing explanations of AI-driven hints to users' cognitive abilities: an empirical evaluation. CoRR abs/2403.04035 (2024) - [i14]Silvan Mertes, Tobias Huber, Christina Karle, Katharina Weitz, Ruben Schlagowski, Cristina Conati, Elisabeth André:
Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers. CoRR abs/2405.05295 (2024) - 2023
- [j31]Anuj Harisinghani, Harshinee Sriram, Cristina Conati, Giuseppe Carenini, Thalia Shoshana Field, Hyeju Jang, Gabriel Murray:
Classification of Alzheimer's using Deep-learning Methods on Webcam-based Gaze Data. Proc. ACM Hum. Comput. Interact. 7(ETRA): 1-17 (2023) - [j30]Özge Nilay Yalçin, Sébastien Lallé, Cristina Conati:
The Impact of Intelligent Pedagogical Agents' Interventions on Student Behavior and Performance in Open-Ended Game Design Environments. ACM Trans. Interact. Intell. Syst. 13(3): 11:1-11:29 (2023) - [c118]Sébastien Lallé, Özge Nilay Yalçin, Cristina Conati:
How to Repeat Hints: Improving AI-Driven Help in Open-Ended Learning Environments. AIED 2023: 760-766 - [c117]Matteo Rizzo, Alberto Veneri, Andrea Albarelli, Claudio Lucchese, Marco S. Nobile, Cristina Conati:
A Theoretical Framework for AI Models Explainability with Application in Biomedicine. CIBCB 2023: 1-9 - [c116]Harshinee Sriram, Cristina Conati, Thalia Shoshana Field:
Classification of Alzheimer's Disease with Deep Learning on Eye-tracking Data. ICMI 2023: 104-113 - [c115]Maxwell Szymanski, Cristina Conati, Vero Vanden Abeele, Katrien Verbert:
Designing and Personalising Hybrid Multi-Modal Health Explanations for Lay Users. IntRS@RecSys 2023: 35-52 - [c114]John Wesley Hostetter, Cristina Conati, Xi Yang, Mark Abdelshiheed, Tiffany Barnes, Min Chi:
XAI to Increase the Effectiveness of an Intelligent Pedagogical Agent. IVA 2023: 28:1-28:9 - [c113]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 - [c112]Ömer Sümer, Rebekah L. Waikel, Suzanna E. Ledgister Hanchard, Dat Duong, Peter Krawitz, Cristina Conati, Benjamin D. Solomon, Elisabeth André:
Region-based Saliency Explanations on the Recognition of Facial Genetic Syndromes. MLHC 2023: 712-736 - [i13]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) - [i12]Harshinee Sriram, Cristina Conati:
Evaluating the overall sensitivity of saliency-based explanation methods. CoRR abs/2306.13682 (2023) - [i11]Harshinee Sriram, Cristina Conati, Thalia Shoshana Field:
Classification of Alzheimers Disease with Deep Learning on Eye-tracking Data. CoRR abs/2309.12574 (2023) - [i10]Anan Schütt, Tobias Huber, Jauwairia Nasir, Cristina Conati, Elisabeth André:
Does Difficulty even Matter? Investigating Difficulty Adjustment and Practice Behavior in an Open-Ended Learning Task. CoRR abs/2311.01934 (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 - [d1]Samad Kardan, Sébastien Lallé, Dereck Toker, Cristina Conati:
EMDAT: Eye Movement Data Analysis Toolkit (1.x). Zenodo, 2021
- [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]Cristina Conati, Mathias Bauer, Nuria Oliver, Daniel S. Weld:
Proceedings of the 14th International Conference on Intelligent User Interfaces, IUI 2009, Sanibel Island, Florida, USA, February 8-11, 2009. ACM 2009, ISBN 978-1-60558-168-2 [contents] - 2008
- [j7]Saleema Amershi, Giuseppe Carenini, Cristina Conati, Alan K. Mackworth, David Poole:
Pedagogy and usability in interactive algorithm visualizations: Designing and evaluating CIspace. Interact. Comput. 20(1): 64-96 (2008) - [c38]Cristina Conati, Heather Maclaren:
Exploring the role of individual differences in information visualization. AVI 2008: 199-206 - [c37]Yasmín Hernández, Luis Enrique Sucar, Cristina Conati:
An Affective Behavior Model for Intelligent Tutors. Intelligent Tutoring Systems 2008: 819-821 - 2007
- [j6]Cristina Conati, Christina Merten:
Eye-tracking for user modeling in exploratory learning environments: An empirical evaluation. Knowl. Based Syst. 20(6): 557-574 (2007) - [c36]Cristina Conati, Christina Merten, Saleema Amershi, Kasia Muldner:
Using Eye-Tracking Data for High-Level User Modeling in Adaptive Interfaces. AAAI 2007: 1614-1617 - [c35]Andrea Bunt, Giuseppe Carenini, Cristina Conati:
Adaptive Content Presentation for the Web. The Adaptive Web 2007: 409-432 - [c34]Ido Roll, Vincent Aleven, Roger Azevedo, Ryan Shaun Joazeiro de Baker, Gautam Biswas, Cristina Conati, Amanda Harris, Rosemary Luckin, Antonija Mitrovic, Tom Murray, Barbara White, Philip H. Winne:
Workshop on Metacognition and Self-Regulated Learning in ITSs. AIED 2007: 722 - [c33]Kasia Muldner, Cristina Conati:
Evaluating a Decision-Theoretic Approach to Tailored Example Selection. IJCAI 2007: 483-488 - [c32]Saleema Amershi, Cristina Conati:
Unsupervised and supervised machine learning in user modeling for intelligent learning environments. IUI 2007: 72-81 - [c31]Andrea Bunt, Cristina Conati, Joanna McGrenere:
Supporting interface customization using a mixed-initiative approach. IUI 2007: 92-101 - [c30]Andrea Bunt, Joanna McGrenere, Cristina Conati:
Understanding the Utility of Rationale in a Mixed-Initiative System for GUI Customization. User Modeling 2007: 147-156 - [e1]Cristina Conati, Kathleen F. McCoy, Georgios Paliouras:
User Modeling 2007, 11th International Conference, UM 2007, Corfu, Greece, June 25-29, 2007, Proceedings. Lecture Notes in Computer Science 4511, Springer 2007, ISBN 978-3-540-73077-4 [contents] - 2006
- [c29]Saleema Amershi, Cristina Conati:
Automatic Recognition of Learner Groups in Exploratory Learning Environments. Intelligent Tutoring Systems 2006: 463-472 - [c28]Christina Merten, Cristina Conati:
Eye-tracking to model and adapt to user meta-cognition in intelligent learning environments. IUI 2006: 39-46 - 2005
- [c27]Micheline Manske, Cristina Conati:
Modelling Learning in an Educational Game. AIED 2005: 411-418 - [c26]Cristina Conati, Sowmya Ramachandran:
Workshop on Educational Games as Intelligent Learning Environments. AIED 2005: 1001 - [c25]Cristina Conati, Benedict du Boulay, Claude Frasson, W. Lewis Johnson, Rosemary Luckin, Erika Martínez-Mirón, Helen Pain, Kaska Porayska-Pomsta, Genaro Rebolledo-Mendez:
Motivation and Affect in Educational Software. AIED 2005: 1002-1003 - [c24]Saleema Amershi, N. Arksey, Giuseppe Carenini, Cristina Conati, Alan K. Mackworth, Heather Maclaren, David Poole:
Designing CIspace: pedagogy and usability in a learning environment for AI. ITiCSE 2005: 178-182 - [c23]Cristina Conati, Stacy Marsella, Ana Paiva:
Affective interactions: the computer in the affective loop. IUI 2005: 7 - [c22]Kasia Muldner, Cristina Conati:
Providing adaptive support for meta-cognitive skills to improve learning. AAAI Spring Symposium: Metacognition in Computation 2005: 86-91 - [c21]Cristina Conati, Heather Maclaren:
Data-Driven Refinement of a Probabilistic Model of User Affect. User Modeling 2005: 40-49 - [c20]Kasia Muldner, Cristina Conati:
Using Similarity to Infer Meta-cognitive Behaviors During Analogical Problem Solving. User Modeling 2005: 134-143 - [c19]Cristina Conati, Christina Merten, Kasia Muldner, David Ternes:
Exploring Eye Tracking to Increase Bandwidth in User Modeling. User Modeling 2005: 357-366 - 2004
- [c18]Cristina Conati:
How to Evaluate Models of User Affect? ADS 2004: 288-300 - [c17]Cristina Conati, Heather Maclaren:
Evaluating a Probabilistic Model of Student Affect. Intelligent Tutoring Systems 2004: 55-66 - [c16]Andrea Bunt, Cristina Conati, Kasia Muldner:
Scaffolding Self-Explanation to Improve Learning in Exploratory Learning Environments.. Intelligent Tutoring Systems 2004: 656-667 - [c15]Cristina Conati:
Toward Comprehensive Student Models: Modeling Meta-cognitive Skills and Affective States in ITS. Intelligent Tutoring Systems 2004: 902 - [c14]Claude Frasson, Kaska Porayska-Pomsta, Cristina Conati, Guy Gouardères, W. Lewis Johnson, Helen Pain, Elisabeth André, Timothy W. Bickmore, Paul Brna, Isabel Fernández de Castro, Stefano A. Cerri, Cleide Jane Costa, James C. Lester, Christine L. Lisetti, Stacy Marsella, Jack Mostow, Roger Nkambou, Magalie Ochs, Ana Paiva, Fábio Paraguaçu, Natalie K. Person, Rosalind W. Picard, Candace L. Sidner, Angel de Vicente:
Workshop on Social and Emotional Intelligence in Learning Environments. Intelligent Tutoring Systems 2004: 913 - [c13]Cristina Conati, Xiaohong Zhao:
Building and evaluating an intelligent pedagogical agent to improve the effectiveness of an educational game. IUI 2004: 6-13 - [c12]Andrea Bunt, Cristina Conati, Joanna McGrenere:
What role can adaptive support play in an adaptable system? IUI 2004: 117-124 - 2003
- [j5]Andrea Bunt, Cristina Conati:
Probabilistic Student Modelling to Improve Exploratory Behaviour. User Model. User Adapt. Interact. 13(3): 269-309 (2003) - [c11]Xiaoming Zhou, Cristina Conati:
Inferring user goals from personality and behavior in a causal model of user affect. IUI 2003: 211-218 - 2002
- [j4]Cristina Conati:
Probabilistic Assessment of User's Emotions in Educational Games. Appl. Artif. Intell. 16(7-8): 555-575 (2002) - [j3]Sandra Carberry, Cristina Conati, Fiorella de Rosis, Piotr J. Gmytrasiewicz, Eva Hudlicka, Mitsuru Ishizuka, Christine L. Lisetti, Andrew Ortony, Helmut Prendinger, William Revelle:
Panel Discussion. Appl. Artif. Intell. 16(7-8): 643-670 (2002) - [j2]Cristina Conati, Abigail S. Gertner, Kurt VanLehn:
Using Bayesian Networks to Manage Uncertainty in Student Modeling. User Model. User Adapt. Interact. 12(4): 371-417 (2002) - [c10]Andrea Bunt, Cristina Conati:
Assessing Effective Exploration in Open Learning Environments Using Bayesian Networks. Intelligent Tutoring Systems 2002: 698-707 - [c9]Cristina Conati, Xiaoming Zhou:
Modeling Students' Emotions from Cognitive Appraisal in Educational Games. Intelligent Tutoring Systems 2002: 944-954 - 2001
- [c8]Cristina Conati, Giuseppe Carenini:
Generating Tailored Examples to Support Learning via Self-explanation. IJCAI 2001: 1301-1306 - [c7]Cristina Conati, Kurt VanLehn:
Providing adaptive support to the understanding of instructional material. IUI 2001: 41-47 - [c6]Andrea Bunt, Cristina Conati:
Modeling Exploratory Behaviour. User Modeling 2001: 219-221 - 2000
- [c5]Cristina Conati, Kurt VanLehn:
Further Results from the Evaluation of an Intelligent Computer Tutor to Coach Self-Explanation. Intelligent Tutoring Systems 2000: 304-313
1990 – 1999
- 1998
- [c4]Abigail S. Gertner, Cristina Conati, Kurt VanLehn:
Procedural Help in Andes: Generating Hints Using a Bayesian Network Student Model. AAAI/IAAI 1998: 106-111 - 1993
- [c3]Cristina Conati:
EFH-Soar: Modeling Education in Highly Interactive Microworlds. AI*IA 1993: 47-58 - 1992
- [c2]Jon M. Slack, Cristina Conati:
Encoding Information through Spatial Relations. Advanced Visual Interfaces 1992: 85-99 - [c1]Cristina Conati, Jon M. Slack:
Accessing Information through Graphics. ECAI 1992: 759-763 - 1991
- [j1]Jon M. Slack, Cristina Conati:
Interest Driven Exploration of an Information Space. ACM SIGCHI Bull. 23(4): 88 (1991)
Coauthor Index
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