Cristina Conati

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 70

Top Venues

CoRR

IUI

UMAP

ACM Trans. Interact. Intell. Syst.

Publications

Cristina Conati
AI-Driven Personalization to Support Human-AI Collaboration. EICS (Companion) (2024)
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)
Vedant Bahel, Harshinee Sriram, Cristina Conati
Personalizing explanations of AI-driven hints to users' cognitive abilities: an empirical evaluation. CoRR (2024)
Vedant Bahel, Harshinee Sriram, Cristina Conati
Initial results on personalizing explanations of AI hints in an ITS. UMAP (2024)
Silvan Mertes, Tobias Huber, Christina Karle, Katharina Weitz, Ruben Schlagowski, Cristina Conati, Elisabeth André
Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers. CoRR (2024)
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) (2023)
Harshinee Sriram, Cristina Conati
Evaluating the overall sensitivity of saliency-based explanation methods. CoRR (2023)
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 (2023)
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)
Maxwell Szymanski, Cristina Conati, Vero Vanden Abeele, Katrien Verbert
Designing and Personalising Hybrid Multi-Modal Health Explanations for Lay Users. IntRS@RecSys (2023)
Harshinee Sriram, Cristina Conati, Thalia Shoshana Field
Classification of Alzheimers Disease with Deep Learning on Eye-tracking Data. CoRR (2023)
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 (2023)
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)
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)
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) (2023)
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)
Harshinee Sriram, Cristina Conati, Thalia Shoshana Field
Classification of Alzheimer's Disease with Deep Learning on Eye-tracking Data. ICMI (2023)
Sébastien Lallé, Özge Nilay Yalçin, Cristina Conati
How to Repeat Hints: Improving AI-Driven Help in Open-Ended Learning Environments. AIED (2023)
Matteo Rizzo, Alberto Veneri, Andrea Albarelli, Claudio Lucchese, Cristina Conati
A Theoretical Framework for AI Models Explainability. CoRR (2022)
Matteo Rizzo, Cristina Conati, Daesik Jang, Hui Hu
Evaluating the Faithfulness of Saliency-based Explanations for Deep Learning Models for Temporal Colour Constancy. CoRR (2022)
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 (2022)
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) (2022)
Özge Nilay Yalçin, Sébastien Lallé, Cristina Conati
An Intelligent Pedagogical Agent to Foster Computational Thinking in Open-Ended Game Design Activities. IUI (2022)
Sébastien Lallé, Rohit Murali, Cristina Conati, Roger Azevedo
Predicting Co-occurring Emotions from Eye-Tracking and Interaction Data in MetaTutor. AIED (1) (2021)
Matteo Rizzo, Cristina Conati, Daesik Jang, Hui Hu
Cascading Convolutional Temporal Colour Constancy. CoRR (2021)
Sébastien Lallé, Özge Nilay Yalçin, Cristina Conati
Combining Data-Driven Models and Expert Knowledge for Personalized Support to Foster Computational Thinking Skills. LAK (2021)
Cristina Conati, Oswald Barral, Vanessa Putnam, Lea Rieger
Toward personalized XAI: A case study in intelligent tutoring systems. Artif. Intell. 298 (2021)
Sébastien Lallé, Dereck Toker, Cristina Conati
Gaze-Driven Adaptive Interventions for Magazine-Style Narrative Visualizations. IEEE Trans. Vis. Comput. Graph. 27 (6) (2021)
Sébastien Lallé, Cristina Conati
A Framework to Counteract Suboptimal User-Behaviors in Exploratory Learning Environments: an Application to MOOCs. CoRR (2021)
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) (2021)
Martijn Millecamp, Cristina Conati, Katrien Verbert
Classifeye: Classification of Personal Characteristics Based on Eye Tracking Data in a Recommender System Interface. IUI Workshops (2021)
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)
Cristina Conati
The Eyes Are the Windows to the Mind: Implications for AI-Driven Personalized Interaction. UMAP (2020)
Sébastien Lallé, Cristina Conati
A Data-Driven Student Model to Provide Adaptive Support During Video Watching Across MOOCs. AIED (1) (2020)
Shane D. Sims, Cristina Conati
A Neural Architecture for Detecting Confusion in Eye-tracking Data. CoRR (2020)
Julia Sheidin, Joel Lanir, Cristina Conati, Dereck Toker, Tsvi Kuflik
The effect of user characteristics in time series visualizations. IUI (2020)
Shane D. Sims, Cristina Conati
A Neural Architecture for Detecting User Confusion in Eye-tracking Data. ICMI (2020)
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) (2020)
Cristina Conati
Toward User-adaptive Visualizations. ICPRAM (2020)
Martijn Millecamp, Nyi Nyi Htun, Cristina Conati, Katrien Verbert
What's in a User? Towards Personalising Transparency for Music Recommender Interfaces. UMAP (2020)
Oswald Barral, Sébastien Lallé, Cristina Conati
Understanding the effectiveness of adaptive guidance for narrative visualization: a gaze-based analysis. IUI (2020)
Sébastien Lallé, Tiffany Wu, Cristina Conati
Gaze-Driven Links for Magazine Style Narrative Visualizations. IEEE VIS (Short Papers) (2020)
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)
Sébastien Lallé, Dereck Toker, Cristina Conati
Gaze-Driven Adaptive Interventions for Magazine-Style Narrative Visualizations. CoRR (2019)
Shane D. Sims, Vanessa Putnam, Cristina Conati
Predicting Confusion from Eye-Tracking Data with Recurrent Neural Networks. CoRR (2019)
Sébastien Lallé, Cristina Conati, Dereck Toker
A gaze-based experimenter platform for designing and evaluating adaptive interventions in information visualizations. ETRA (2019)
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)
Sébastien Lallé, Cristina Conati
The role of user differences in customization: a case study in personalization for infovis-based content. IUI (2019)
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)
Vanessa Putnam, Lea Riegel, Cristina Conati
Toward XAI for Intelligent Tutoring Systems: A Case Study. CoRR (2019)
Dereck Toker, Cristina Conati, Giuseppe Carenini
Gaze analysis of user characteristics in magazine style narrative visualizations. User Model. User Adapt. Interact. 29 (5) (2019)
Vanessa Putnam, Cristina Conati
Exploring the Need for Explainable Artificial Intelligence (XAI) in Intelligent Tutoring Systems (ITS). IUI Workshops (2019)
Sébastien Lallé, Cristina Conati, Roger Azevedo
Prediction of Student Achievement Goals and Emotion Valence during Interaction with Pedagogical Agents. AAMAS (2018)
Cristina Conati, Kaska Porayska-Pomsta, Manolis Mavrikis
AI in Education needs interpretable machine learning: Lessons from Open Learner Modelling. CoRR (2018)
Vanessa Echeverría, Roberto Martínez Maldonado, Roger Granda, Katherine Chiluiza, Cristina Conati, Simon Buckingham Shum
Driving data storytelling from learning design. LAK (2018)
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)
Dereck Toker, Cristina Conati, Giuseppe Carenini
User-adaptive Support for Processing Magazine Style Narrative Visualizations: Identifying User Characteristics that Matter. IUI (2018)
Dereck Toker, Sébastien Lallé, Cristina Conati
Pupillometry and Head Distance to the Screen to Predict Skill Acquisition During Information Visualization Tasks. IUI (2017)
Dereck Toker, Cristina Conati
Leveraging Pupil Dilation Measures for Understanding Users' Cognitive Load During Visualization Processing. UMAP (Adjunct Publication) (2017)
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) (2017)
Cristina Conati, Sébastien Lallé, Md. Abed Rahman, Dereck Toker
Further Results on Predicting Cognitive Abilities for Adaptive Visualizations. IJCAI (2017)
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)
Sébastien Lallé, Cristina Conati, Giuseppe Carenini
Impact of Individual Differences on User Experience with a Real-World Visualization Interface for Public Engagement. UMAP (2017)
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)
Sébastien Lallé, Cristina Conati, Giuseppe Carenini
Impact of Individual Differences on User Experience with a Visualization Interface for Public Engagement. UMAP (Adjunct Publication) (2017)
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)
Sébastien Lallé, Cristina Conati, Giuseppe Carenini
Prediction of individual learning curves across information visualizations. User Model. User Adapt. Interact. 26 (4) (2016)
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) (2016)
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) (2016)
Sébastien Lallé, Cristina Conati, Giuseppe Carenini
Predicting Confusion in Information Visualization from Eye Tracking and Interaction Data. IJCAI (2016)
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)
Samad Kardan, Cristina Conati
Providing Adaptive Support in an Interactive Simulation for Learning: An Experimental Evaluation. CHI (2015)
Sébastien Lallé, Dereck Toker, Cristina Conati, Giuseppe Carenini
Prediction of Users' Learning Curves for Adaptation while Using an Information Visualization. IUI (2015)
Matthew Gingerich, Cristina Conati
Constructing Models of User and Task Characteristics from Eye Gaze Data for User-Adaptive Information Highlighting. AAAI (2015)
Cristina Conati, Giuseppe Carenini, Dereck Toker, Sébastien Lallé
Towards User-Adaptive Information Visualization. AAAI (2015)
Cristina Conati, Lauren Fratamico, Samad Kardan, Ido Roll
Comparing Representations for Learner Models in Interactive Simulations. AIED (2015)
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)
Dereck Toker, Ben Steichen, Matthew Gingerich, Cristina Conati, Giuseppe Carenini
Towards facilitating user skill acquisition: identifying untrained visualization users through eye tracking. IUI (2014)
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) (2014)
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)
Dereck Toker, Cristina Conati
Eye Tracking to Understand User Differences in Visualization Processing with Highlighting Interventions. UMAP (2014)
Samad Kardan, Ido Roll, Cristina Conati
The Usefulness of Log Based Clustering in a Complex Simulation Environment. Intelligent Tutoring Systems (2014)
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) (2014)
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)
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) (2013)
Dereck Toker, Cristina Conati, Ben Steichen, Giuseppe Carenini
Individual user characteristics and information visualization: connecting the dots through eye tracking. CHI (2013)
Ayanna M. Howard, David Johnson, Cristina Conati, Frederick W. Chen, Nikolaj Bjørner
Invited Talk Abstracts. FLAIRS Conference (2013)
Cristina Conati, Enamul Hoque, Dereck Toker, Ben Steichen
When to Adapt: Detecting User's Confusion During Visualization Processing. UMAP Workshops (2013)
Ben Steichen, Giuseppe Carenini, Cristina Conati
User-adaptive information visualization: using eye gaze data to infer visualization tasks and user cognitive abilities. IUI (2013)
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)
Giuseppe Carenini, Cristina Conati, Enamul Hoque, Ben Steichen
User Task Adaptation in Multimedia Presentations. UMAP Workshops (2013)
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) (2013)
Cristina Conati, Samad Kardan
Student Modeling: Supporting Personalized Instruction, from Problem Solving to Exploratory Open Ended Activities. AI Mag. 34 (3) (2013)
Alireza Davoodi, Samad Kardan, Cristina Conati
Understanding Users' Interaction Behavior with an Intelligent Educational Game: Prime Climb. AIED Workshops (2013)
Alireza Davoodi, Cristina Conati
Degeneracy in Student Modeling with Dynamic Bayesian Networks in Intelligent Edu-Games. EDM (2013)
Mirela Gutica, Cristina Conati
Student Emotions with an Edu-game: A Detailed Analysis. ACII (2013)
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)
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) (2013)
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) (2013)
Samad Kardan, Cristina Conati
Comparing and Combining Eye Gaze and Interface Actions for Determining User Learning with an Interactive Simulation. UMAP (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Cristina Conati