Interest Driven Exploration of an Information Space. - Jon M. Slack; Cristina Conati (ACM SIGCHI Bull., 1991)

Encoding Information through Spatial Relations. - Jon M. Slack; Cristina Conati (Advanced Visual Interfaces, 1992)

Accessing Information through Graphics. - Cristina Conati; Jon M. Slack (ECAI, 1992)

EFH-Soar: Modeling Education in Highly Interactive Microworlds. - Cristina Conati (AI*IA, 1993)

Procedural Help in Andes: Generating Hints Using a Bayesian Network Student Model. - Abigail S. Gertner; Cristina Conati; Kurt VanLehn (AAAI/IAAI, 1998)

Further Results from the Evaluation of an Intelligent Computer Tutor to Coach Self-Explanation. - Cristina Conati; Kurt VanLehn (Intelligent Tutoring Systems, 2000)

Generating Tailored Examples to Support Learning via Self-explanation. - Cristina Conati; Giuseppe Carenini (IJCAI, 2001)

Providing adaptive support to the understanding of instructional material. - Cristina Conati; Kurt VanLehn (IUI, 2001)

Modeling Exploratory Behaviour. - Andrea Bunt; Cristina Conati (User Modeling, 2001)

Assessing Effective Exploration in Open Learning Environments Using Bayesian Networks. - Andrea Bunt; Cristina Conati (Intelligent Tutoring Systems, 2002)

Modeling Students' Emotions from Cognitive Appraisal in Educational Games. - Cristina Conati; Xiaoming Zhou (Intelligent Tutoring Systems, 2002)

Panel Discussion. - Sandra Carberry; Cristina Conati; Fiorella de Rosis; Piotr J. Gmytrasiewicz; Eva Hudlicka; Mitsuru Ishizuka; Christine L. Lisetti; Andrew Ortony; Helmut Prendinger; William Revelle (Appl. Artif. Intell., 2002)

Probabilistic Assessment of User's Emotions in Educational Games. - Cristina Conati (Appl. Artif. Intell., 2002)

Using Bayesian Networks to Manage Uncertainty in Student Modeling. - Cristina Conati; Abigail S. Gertner; Kurt VanLehn (User Model. User Adapt. Interact., 2002)

Inferring user goals from personality and behavior in a causal model of user affect. - Xiaoming Zhou; Cristina Conati (IUI, 2003)

Probabilistic Student Modelling to Improve Exploratory Behaviour. - Andrea Bunt; Cristina Conati (User Model. User Adapt. Interact., 2003)

How to Evaluate Models of User Affect? - Cristina Conati (ADS, 2004)

Scaffolding Self-Explanation to Improve Learning in Exploratory Learning Environments.. - Andrea Bunt; Cristina Conati; Kasia Muldner (Intelligent Tutoring Systems, 2004)

Toward Comprehensive Student Models: Modeling Meta-cognitive Skills and Affective States in ITS. - Cristina Conati (Intelligent Tutoring Systems, 2004)

Evaluating a Probabilistic Model of Student Affect. - Cristina Conati; Heather Maclaren (Intelligent Tutoring Systems, 2004)

Workshop on Social and Emotional Intelligence in Learning Environments. - 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; et al. (Intelligent Tutoring Systems, 2004)

What role can adaptive support play in an adaptable system? - Andrea Bunt; Cristina Conati; Joanna McGrenere (IUI, 2004)

Building and evaluating an intelligent pedagogical agent to improve the effectiveness of an educational game. - Cristina Conati; Xiaohong Zhao (IUI, 2004)

Motivation and Affect in Educational Software. - Cristina Conati; Benedict du Boulay; Claude Frasson; W. Lewis Johnson; Rosemary Luckin; Erika Martínez-Mirón; Helen Pain; Kaska Porayska-Pomsta; Genaro Rebolledo-Mendez (AIED, 2005)

Workshop on Educational Games as Intelligent Learning Environments. - Cristina Conati; Sowmya Ramachandran (AIED, 2005)

Modelling Learning in an Educational Game. - Micheline Manske; Cristina Conati (AIED, 2005)

Designing CIspace: pedagogy and usability in a learning environment for AI. - Saleema Amershi; N. Arksey; Giuseppe Carenini; Cristina Conati; Alan K. Mackworth; Heather Maclaren; David Poole 001 (ITiCSE, 2005)

Affective interactions: the computer in the affective loop. - Cristina Conati; Stacy Marsella; Ana Paiva 001 (IUI, 2005)

Providing adaptive support for meta-cognitive skills to improve learning. - Kasia Muldner; Cristina Conati (AAAI Spring Symposium: Metacognition in Computation, 2005)

Data-Driven Refinement of a Probabilistic Model of User Affect. - Cristina Conati; Heather Maclaren (User Modeling, 2005)

Exploring Eye Tracking to Increase Bandwidth in User Modeling. - Cristina Conati; Christina Merten; Kasia Muldner; David Ternes (User Modeling, 2005)

Using Similarity to Infer Meta-cognitive Behaviors During Analogical Problem Solving. - Kasia Muldner; Cristina Conati (User Modeling, 2005)

Automatic Recognition of Learner Groups in Exploratory Learning Environments. - Saleema Amershi; Cristina Conati (Intelligent Tutoring Systems, 2006)

Eye-tracking to model and adapt to user meta-cognition in intelligent learning environments. - Christina Merten; Cristina Conati (IUI, 2006)

Using Eye-Tracking Data for High-Level User Modeling in Adaptive Interfaces. - Cristina Conati; Christina Merten; Saleema Amershi; Kasia Muldner (AAAI, 2007)

Adaptive Content Presentation for the Web. - Andrea Bunt; Giuseppe Carenini; Cristina Conati (The Adaptive Web, 2007)

Workshop on Metacognition and Self-Regulated Learning in ITSs. - Ido Roll; Vincent Aleven; Roger Azevedo; Ryan Shaun Joazeiro de Baker; Gautam Biswas; Cristina Conati; Amanda Harris 001; Rosemary Luckin; Antonija Mitrovic; Tom Murray 001; Barbara White; Philip H. Winne (AIED, 2007)

Evaluating a Decision-Theoretic Approach to Tailored Example Selection. - Kasia Muldner; Cristina Conati (IJCAI, 2007)

Unsupervised and supervised machine learning in user modeling for intelligent learning environments. - Saleema Amershi; Cristina Conati (IUI, 2007)

Supporting interface customization using a mixed-initiative approach. - Andrea Bunt; Cristina Conati; Joanna McGrenere (IUI, 2007)

Understanding the Utility of Rationale in a Mixed-Initiative System for GUI Customization. - Andrea Bunt; Joanna McGrenere; Cristina Conati (User Modeling, 2007)

Eye-tracking for user modeling in exploratory learning environments: An empirical evaluation. - Cristina Conati; Christina Merten (Knowl. Based Syst., 2007)

Exploring the role of individual differences in information visualization. - Cristina Conati; Heather Maclaren (AVI, 2008)

An Affective Behavior Model for Intelligent Tutors. - Yasmín Hernández; Luis Enrique Sucar; Cristina Conati (Intelligent Tutoring Systems, 2008)

Pedagogy and usability in interactive algorithm visualizations: Designing and evaluating CIspace. - Saleema Amershi; Giuseppe Carenini; Cristina Conati; Alan K. Mackworth; David Poole 001 (Interact. Comput., 2008)

Invited Speaker Abstracts. - Stephen Grossberg; Kurt VanLehn; Cristina Conati; Arthur C. Graesser; John C. Cherniavsky (AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems, 2009)

Adaptive Feedback in an Educational Game for Number Factorization. - Cristina Conati; Micheline Manske (AIED, 2009)

Closing the Affective Loop in Intelligent Learning Environments. - Cristina Conati; Tanja Mitrovic (AIED, 2009)

Incorporating an Affective Behavior Model into an Educational Game. - Yasmín Hernández; Luis Enrique Sucar; Cristina Conati (FLAIRS, 2009)

Intelligent Tutoring Systems: New Challenges and Directions. - Cristina Conati (IJCAI, 2009)

Evaluating Adaptive Feedback in an Educational Computer Game. - Cristina Conati; Micheline Manske (IVA, 2009)

Modeling User Affect from Causes and Effects. - Cristina Conati; Heather Maclaren (UMAP, 2009)

Mixed-Initiative Interface Personalization as a Case Study in Usable AI. - Andrea Bunt; Cristina Conati; Joanna McGrenere (AI Mag., 2009)

Empirically building and evaluating a probabilistic model of user affect. - Cristina Conati; Heather Maclaren (User Model. User Adapt. Interact., 2009)

Discovering and Recognizing Student Interaction Patterns in Exploratory Learning Environments. - Andrea Bernardini; Cristina Conati (Intelligent Tutoring Systems (1), 2010)

Scaffolding Meta-Cognitive Skills for Effective Analogical Problem Solving via Tailored Example Selection. - Kasia Muldner; Cristina Conati (Int. J. Artif. Intell. Educ., 2010)

Bayesian Student Modeling. - Cristina Conati (Advances in Intelligent Tutoring Systems, 2010)

User-Adaptive Visualizations: Can Gaze Data Tell Us When a User Needs Them? - Cristina Conati; Giuseppe Carenini; Mona Harati; Dereck Toker; Nicholas FitzGerald; Anna Flagg (Scalable Integration of Analytics and Visualization, 2011)

A Framework for Capturing Distinguishing User Interaction Behaviors in Novel Interfaces. - Samad Kardan; Cristina Conati (EDM, 2011)

2nd workshop on eye gaze in intelligent human machine interaction. - Yukiko I. Nakano; Cristina Conati; Thomas Bader (IUI, 2011)

Understanding Student Attention to Adaptive Hints with Eye-Tracking. - Mary Muir; Cristina Conati (UMAP Workshops, 2011)

An Analysis of Attention to Student - Adaptive Hints in an Educational Game. - Mary Muir; Cristina Conati (ITS, 2012)

Developing Effective Serious Games: The Effect of Background Sound on Visual Fidelity Perception with Varying Texture Resolution. - David Rojas; Bill Kapralos; Sayra Cristancho; Karen Collins; Andrew Hogue; Cristina Conati; Adam Dubrowski (MMVR, 2012)

Exploring Gaze Data for Determining User Learning with an Interactive Simulation. - Samad Kardan; Cristina Conati (UMAP, 2012)

Adaptive Information Visualization - Predicting user characteristics and task context from eye gaze. - Ben Steichen; Giuseppe Carenini; Cristina Conati (UMAP Workshops, 2012)

Towards Adaptive Information Visualization: On the Influence of User Characteristics. - Dereck Toker; Cristina Conati; Giuseppe Carenini; Mona Haraty (UMAP, 2012)

Student Emotions with an Edu-game: A Detailed Analysis. - Mirela Gutica; Cristina Conati (ACII, 2013)

Inferring Learning from Gaze Data during Interaction with an Environment to Support Self-Regulated Learning. - Daria Bondareva; Cristina Conati; Reza Feyzi-Behnagh; Jason M. Harley; Roger Azevedo; François Bouchet (AIED, 2013)

Understanding Users' Interaction Behavior with an Intelligent Educational Game: Prime Climb. - Alireza Davoodi; Samad Kardan; Cristina Conati (AIED Workshops, 2013)

Evaluation of a Data Mining Approach to Providing Adaptive Support in an Open-Ended Learning Environment: A Pilot Study. - Samad Kardan; Cristina Conati (AIED Workshops, 2013)

Individual user characteristics and information visualization: connecting the dots through eye tracking. - Dereck Toker; Cristina Conati; Ben Steichen; Giuseppe Carenini (CHI, 2013)

Degeneracy in Student Modeling with Dynamic Bayesian Networks in Intelligent Edu-Games. - Alireza Davoodi; Cristina Conati (EDM, 2013)

Mining User's Behaviors in Intelligent Educational Games: Prime Climb a Case Study. - Alireza Davoodi; Samad Kardan; Cristina Conati (EDM, 2013)

Invited Talk Abstracts. - Ayanna M. Howard; David Johnson; Cristina Conati; Frederick W. Chen; Nikolaj S. Bjørner (FLAIRS, 2013)

User-adaptive information visualization: using eye gaze data to infer visualization tasks and user cognitive abilities. - Ben Steichen; Giuseppe Carenini; Cristina Conati (IUI, 2013)

User Task Adaptation in Multimedia Presentations. - Giuseppe Carenini; Cristina Conati; Enamul Hoque; Ben Steichen (UMAP Workshops, 2013)

When to Adapt: Detecting User's Confusion During Visualization Processing. - Cristina Conati; Enamul Hoque; Dereck Toker; Ben Steichen (UMAP Workshops, 2013)

Comparing and Combining Eye Gaze and Interface Actions for Determining User Learning with an Interactive Simulation. - Samad Kardan; Cristina Conati (UMAP, 2013)

Seeing how you're Looking - Using Real-Time Eye Gaze Data for User-Adaptive Visualization. - Ben Steichen; Oliver Schmid; Cristina Conati; Giuseppe Carenini (UMAP Workshops, 2013)

Understanding Attention to Adaptive Hints in Educational Games: An Eye-Tracking Study. - Cristina Conati; Natasha Jaques; Mary Muir (Int. J. Artif. Intell. Educ., 2013)

Knowledge Elicitation Methods for Affect Modelling in Education. - Kaska Porayska-Pomsta; Manolis Mavrikis; Sidney K. D'Mello; Cristina Conati; Ryan Shaun Joazeiro de Baker (Int. J. Artif. Intell. Educ., 2013)

Student Modeling: Supporting Personalized Instruction, from Problem Solving to Exploratory Open Ended Activities. - Cristina Conati; Samad Kardan (AI Mag., 2013)

The Effect of Sound on Visual Fidelity Perception in Stereoscopic 3-D. - David Rojas; Bill Kapralos; Andrew Hogue; Karen Collins; Lennart E. Nacke; Sayra Cristancho; Cristina Conati; Adam Dubrowski (IEEE Trans. Cybern., 2013)

Introduction to the special section on intelligent tutoring and coaching systems. - Qing Li 001; Xiangfeng Luo; Liu Wenyin; Cristina Conati (ACM Trans. Intell. Syst. Technol., 2013)

Virtual Butler: What Can We Learn from Adaptive User Interfaces? - Cristina Conati (Your Virtual Butler, 2013)

Highlighting interventions and user differences: informing adaptive information visualization support. - Giuseppe Carenini; Cristina Conati; Enamul Hoque; Ben Steichen; Dereck Toker; James T. Enns (CHI, 2014)

Predicting Affect from Gaze Data during Interaction with an Intelligent Tutoring System. - Natasha Jaques; Cristina Conati; Jason M. Harley; Roger Azevedo (Intelligent Tutoring Systems, 2014)

The Usefulness of Log Based Clustering in a Complex Simulation Environment. - Samad Kardan; Ido Roll; Cristina Conati (Intelligent Tutoring Systems, 2014)

Towards facilitating user skill acquisition: identifying untrained visualization users through eye tracking. - Dereck Toker; Ben Steichen; Matthew Gingerich; Cristina Conati; Giuseppe Carenini (IUI, 2014)

Te, Te, Hi, Hi: Eye Gaze Sequence Analysis for Informing User-Adaptive Information Visualizations. - Ben Steichen; Michael M. A. Wu; Dereck Toker; Cristina Conati; Giuseppe Carenini (UMAP, 2014)

Eye Tracking to Understand User Differences in Visualization Processing with Highlighting Interventions. - Dereck Toker; Cristina Conati (UMAP, 2014)

Evaluating the Impact of User Characteristics and Different Layouts on an Interactive Visualization for Decision Making. - Cristina Conati; Giuseppe Carenini; Enamul Hoque; Ben Steichen; Dereck Toker (Comput. Graph. Forum, 2014)

Inferring Visualization Task Properties, User Performance, and User Cognitive Abilities from Eye Gaze Data. - Ben Steichen; Cristina Conati; Giuseppe Carenini (ACM Trans. Interact. Intell. Syst., 2014)

Towards User-Adaptive Information Visualization. - Cristina Conati; Giuseppe Carenini; Dereck Toker; Sébastien Lallé (AAAI, 2015)

Constructing Models of User and Task Characteristics from Eye Gaze Data for User-Adaptive Information Highlighting. - Matthew Gingerich; Cristina Conati (AAAI, 2015)

Comparing Representations for Learner Models in Interactive Simulations. - Cristina Conati; Lauren Fratamico; Samad Kardan; Ido Roll (AIED, 2015)

Providing Adaptive Support in an Interactive Simulation for Learning: An Experimental Evaluation. - Samad Kardan; Cristina Conati (CHI, 2015)

Prediction of Users' Learning Curves for Adaptation while Using an Information Visualization. - Sébastien Lallé; Dereck Toker; Cristina Conati; Giuseppe Carenini (IUI, 2015)

Modeling Motivation in a Social Network Game Using Player-Centric Traits and Personality Traits. - Max Birk; Dereck Toker; Regan L. Mandryk; Cristina Conati (UMAP, 2015)

Predicting Confusion in Information Visualization from Eye Tracking and Interaction Data. - Sébastien Lallé; Cristina Conati; Giuseppe Carenini (IJCAI, 2016)

Impact of Individual Differences on Affective Reactions to Pedagogical Agents Scaffolding. - Sébastien Lallé; Nicholas V. Mudrick; Michelle Taub; Joseph F. Grafsgaard; Cristina Conati; Roger Azevedo (IVA, 2016)

Commentary on: "Toward Computer-Based Support of MetaCognitive Skills: a Computational Framework to Coach Self Explanation". - Cristina Conati (Int. J. Artif. Intell. Educ., 2016)

Interaction with an Edu-Game: A Detailed Analysis of Student Emotions and Judges' Perceptions. - Cristina Conati; Mirela Gutica (Int. J. Artif. Intell. Educ., 2016)

Prediction of individual learning curves across information visualizations. - Sébastien Lallé; Cristina Conati; Giuseppe Carenini (User Model. User Adapt. Interact., 2016)

The Impact of Student Individual Differences and Visual Attention to Pedagogical Agents During Learning with MetaTutor. - Sébastien Lallé; Michelle Taub; Nicholas V. Mudrick; Cristina Conati; Roger Azevedo (AIED, 2017)

On the Influence on Learning of Student Compliance with Prompts Fostering Self-Regulated Learning. - Sébastien Lallé; Cristina Conati; Roger Azevedo; Michelle Taub; Nicholas Mudrick (EDM, 2017)

Further Results on Predicting Cognitive Abilities for Adaptive Visualizations. - Cristina Conati; Sébastien Lallé; Md. Abed Rahman; Dereck Toker (IJCAI, 2017)

Pupillometry and Head Distance to the Screen to Predict Skill Acquisition During Information Visualization Tasks. - Dereck Toker; Sébastien Lallé; Cristina Conati (IUI, 2017)

Impact of Individual Differences on User Experience with a Real-World Visualization Interface for Public Engagement. - Sébastien Lallé; Cristina Conati; Giuseppe Carenini (UMAP, 2017)

Impact of Individual Differences on User Experience with a Visualization Interface for Public Engagement. - Sébastien Lallé; Cristina Conati; Giuseppe Carenini (UMAP (Adjunct Publication), 2017)

Leveraging Pupil Dilation Measures for Understanding Users' Cognitive Load During Visualization Processing. - Dereck Toker; Cristina Conati (UMAP (Adjunct Publication), 2017)

Applying a Framework for Student Modeling in Exploratory Learning Environments: Comparing Data Representation Granularity to Handle Environment Complexity. - Lauren Fratamico; Cristina Conati; Samad Kardan; Ido Roll (Int. J. Artif. Intell. Educ., 2017)

Prediction of Student Achievement Goals and Emotion Valence during Interaction with Pedagogical Agents. - Sébastien Lallé; Cristina Conati; Roger Azevedo (AAMAS, 2018)

User-adaptive Support for Processing Magazine Style Narrative Visualizations: Identifying User Characteristics that Matter. - Dereck Toker; Cristina Conati; Giuseppe Carenini (IUI, 2018)

Driving data storytelling from learning design. - Vanessa Echeverría; Roberto Martínez Maldonado; Roger Granda; Katherine Chiluiza; Cristina Conati; Simon Buckingham Shum (LAK, 2018)

AI in Education needs interpretable machine learning: Lessons from Open Learner Modelling. - Cristina Conati; Kaska Porayska-Pomsta; Manolis Mavrikis (CoRR, 2018)

Exploratory versus Explanatory Visual Learning Analytics: Driving Teachers' Attention through Educational Data Storytelling. - Vanessa Echeverría; Roberto Martínez Maldonado; Simon Buckingham Shum; Katherine Chiluiza; Roger Granda; Cristina Conati (J. Learn. Anal., 2018)

A gaze-based experimenter platform for designing and evaluating adaptive interventions in information visualizations. - Sébastien Lallé; Cristina Conati; Dereck Toker (ETRA, 2019)

The role of user differences in customization: a case study in personalization for infovis-based content. - Sébastien Lallé; Cristina Conati (IUI, 2019)

To explain or not to explain: the effects of personal characteristics when explaining music recommendations. - Martijn Millecamp; Nyi Nyi Htun; Cristina Conati; Katrien Verbert (IUI, 2019)

Exploring the Need for Explainable Artificial Intelligence (XAI) in Intelligent Tutoring Systems (ITS). - Vanessa Putnam; Cristina Conati (IUI Workshops, 2019)

Impact of English Reading Comprehension Abilities on Processing Magazine Style Narrative Visualizations and Implications for Personalization. - Dereck Toker; Róbert Móro; Jakub Simko; Mária Bieliková; Cristina Conati (UMAP, 2019)

Predicting Confusion from Eye-Tracking Data with Recurrent Neural Networks. - Shane D. Sims; Vanessa Putnam; Cristina Conati (CoRR, 2019)

Toward XAI for Intelligent Tutoring Systems: A Case Study. - Vanessa Putnam; Lea Riegel; Cristina Conati (CoRR, 2019)

Gaze analysis of user characteristics in magazine style narrative visualizations. - Dereck Toker; Cristina Conati; Giuseppe Carenini (User Model. User Adapt. Interact., 2019)

A Data-Driven Student Model to Provide Adaptive Support During Video Watching Across MOOCs. - Sébastien Lallé; Cristina Conati (AIED (1), 2020)

Eye-Tracking to Predict User Cognitive Abilities and Performance for User-Adaptive Narrative Visualizations. - Oswald Barral; Sébastien Lallé; Grigorii Guz; Alireza Iranpour; Cristina Conati (ICMI, 2020)

A Neural Architecture for Detecting User Confusion in Eye-tracking Data. - Shane D. Sims; Cristina Conati (ICMI, 2020)

Toward User-adaptive Visualizations. - Cristina Conati (ICPRAM, 2020)

Understanding the effectiveness of adaptive guidance for narrative visualization: a gaze-based analysis. - Oswald Barral; Sébastien Lallé; Cristina Conati (IUI, 2020)

The effect of user characteristics in time series visualizations. - Julia Sheidin; Joel Lanir; Cristina Conati; Dereck Toker; Tsvi Kuflik (IUI, 2020)

Non-Invasive Classification of Alzheimer's Disease Using Eye Tracking and Language. - Oswald Barral; Hyeju Jang; Sally Newton-Mason; Sheetal Shajan; Thomas Soroski; Giuseppe Carenini; Cristina Conati; Thalia Shoshana Field (MLHC, 2020)

The Eyes Are the Windows to the Mind: Implications for AI-Driven Personalized Interaction. - Cristina Conati (UMAP, 2020)

What's in a User? Towards Personalising Transparency for Music Recommender Interfaces. - Martijn Millecamp; Nyi Nyi Htun; Cristina Conati; Katrien Verbert (UMAP, 2020)

Gaze-Driven Links for Magazine Style Narrative Visualizations. - Sébastien Lallé; Tiffany Wu; Cristina Conati (IEEE VIS (Short Papers), 2020)

A Neural Architecture for Detecting Confusion in Eye-tracking Data. - Shane D. Sims; Cristina Conati (CoRR, 2020)

Comparing and Combining Interaction Data and Eye-tracking Data for the Real-time Prediction of User Cognitive Abilities in Visualization Tasks. - Cristina Conati; Sébastien Lallé; Md. Abed Rahman; Dereck Toker (ACM Trans. Interact. Intell. Syst., 2020)

Predicting Co-occurring Emotions from Eye-Tracking and Interaction Data in MetaTutor. - Sébastien Lallé; Rohit Murali; Cristina Conati; Roger Azevedo (AIED (1), 2021)

Classifeye: Classification of Personal Characteristics Based on Eye Tracking Data in a Recommender System Interface. - Martijn Millecamp; Cristina Conati; Katrien Verbert (IUI Workshops, 2021)

Combining Data-Driven Models and Expert Knowledge for Personalized Support to Foster Computational Thinking Skills. - Sébastien Lallé; Özge Nilay Yalçin; Cristina Conati (LAK, 2021)

Toward personalized XAI: A case study in intelligent tutoring systems. - Cristina Conati; Oswald Barral; Vanessa Putnam; Lea Rieger (Artif. Intell., 2021)

A Framework to Counteract Suboptimal User-Behaviors in Exploratory Learning Environments: an Application to MOOCs. - Sébastien Lallé; Cristina Conati (CoRR, 2021)

Cascading Convolutional Temporal Colour Constancy. - Matteo Rizzo; Cristina Conati; Daesik Jang; Hui Hu (CoRR, 2021)

Effect of Adaptive Guidance and Visualization Literacy on Gaze Attentive Behaviors and Sequential Patterns on Magazine-Style Narrative Visualizations. - Oswald Barral; Sébastien Lallé; Alireza Iranpour; Cristina Conati (ACM Trans. Interact. Intell. Syst., 2021)

Gaze-Driven Adaptive Interventions for Magazine-Style Narrative Visualizations. - Sébastien Lallé; Dereck Toker; Cristina Conati (IEEE Trans. Vis. Comput. Graph., 2021)

EMDAT: Eye Movement Data Analysis Toolkit (1.x). - Samad Kardan; Sébastien Lallé; Dereck Toker; Cristina Conati (Zenodo, 2021)

An Intelligent Pedagogical Agent to Foster Computational Thinking in Open-Ended Game Design Activities. - Özge Nilay Yalçin; Sébastien Lallé; Cristina Conati (IUI, 2022)

Explainable Artificial Intelligence in education. - Hassan Khosravi; Simon Buckingham Shum; Guanliang Chen; Cristina Conati; Yi-Shan Tsai; Judy Kay; Simon Knight 001; Roberto Martínez Maldonado; Shazia Sadiq; Dragan Gasevic (Comput. Educ. Artif. Intell., 2022)

Evaluating the Faithfulness of Saliency-based Explanations for Deep Learning Models for Temporal Colour Constancy. - Matteo Rizzo; Cristina Conati; Daesik Jang; Hui Hu (CoRR, 2022)

A Theoretical Framework for AI Models Explainability. - Matteo Rizzo; Alberto Veneri; Andrea Albarelli; Claudio Lucchese; Cristina Conati (CoRR, 2022)

"Knowing me, knowing you": personalized explanations for a music recommender system. - Martijn Millecamp; Cristina Conati; Katrien Verbert (User Model. User Adapt. Interact., 2022)

How to Repeat Hints: Improving AI-Driven Help in Open-Ended Learning Environments. - Sébastien Lallé; Özge Nilay Yalçin; Cristina Conati (AIED, 2023)

A Theoretical Framework for AI Models Explainability with Application in Biomedicine. - Matteo Rizzo; Alberto Veneri; Andrea Albarelli; Claudio Lucchese; Marco S. Nobile; Cristina Conati (CIBCB, 2023)

Classification of Alzheimer's Disease with Deep Learning on Eye-tracking Data. - Harshinee Sriram; Cristina Conati; Thalia Shoshana Field (ICMI, 2023)

Designing and Personalising Hybrid Multi-Modal Health Explanations for Lay Users. - Maxwell Szymanski; Cristina Conati; Vero Vanden Abeele; Katrien Verbert (IntRS@RecSys, 2023)

XAI to Increase the Effectiveness of an Intelligent Pedagogical Agent. - John Wesley Hostetter; Cristina Conati; Xi Yang 019; Mark Abdelshiheed; Tiffany Barnes; Min Chi (IVA, 2023)

Predicting Co-occurring Emotions in MetaTutor when Combining Eye-Tracking and Interaction Data from Separate User Studies. - Rohit Murali; Cristina Conati; Roger Azevedo (LAK, 2023)

Region-based Saliency Explanations on the Recognition of Facial Genetic Syndromes. - Ömer Sümer; Rebekah L. Waikel; Suzanna E. Ledgister Hanchard; Dat Duong; Peter M. Krawitz; Cristina Conati; Benjamin D. Solomon; Elisabeth André (MLHC, 2023)

Evaluating the overall sensitivity of saliency-based explanation methods. - Harshinee Sriram; Cristina Conati (CoRR, 2023)

Classification of Alzheimers Disease with Deep Learning on Eye-tracking Data. - Harshinee Sriram; Cristina Conati; Thalia Shoshana Field (CoRR, 2023)

Cascading convolutional temporal color constancy. - Matteo Rizzo; Cristina Conati; Daesik Jang; Hui Hu (J. Electronic Imaging, 2023)

Classification of Alzheimer's using Deep-learning Methods on Webcam-based Gaze Data. - Anuj Harisinghani; Harshinee Sriram; Cristina Conati; Giuseppe Carenini; Thalia Shoshana Field; Hyeju Jang; Gabriel Murray (Proc. ACM Hum. Comput. Interact., 2023)

Facial Genetic Syndromes Database. - Ömer Sümer; Rebekah L. Waikel; Suzanna E. Ledgister Hanchard; Dat Duong; Peter M. Krawitz; Cristina Conati; Benjamin D. Solomon; Elisabeth André (Zenodo, 2023)

Facial Genetic Syndromes Database. - Ömer Sümer; Rebekah L. Waikel; Suzanna E. Ledgister Hanchard; Dat Duong; Peter M. Krawitz; Cristina Conati; Benjamin D. Solomon; Elisabeth André (Zenodo, 2023)

The Impact of Intelligent Pedagogical Agents' Interventions on Student Behavior and Performance in Open-Ended Game Design Environments. - Özge Nilay Yalçin; Sébastien Lallé; Cristina Conati (ACM Trans. Interact. Intell. Syst., 2023)

AI-Driven Personalization to Support Human-AI Collaboration. - Cristina Conati (EICS (Companion), 2024)

HumanEYEze 2024: Workshop on Eye Tracking for Multimodal Human-Centric Computing. - Michael Barz; Roman Bednarik; Andreas Bulling; Cristina Conati; Daniel Sonntag (ICMI, 2024)

Detecting when Users Disagree with Generated Captions. - Omair Shahzad Bhatti; Harshinee Sriram; Abdulrahman Mohamed Selim; Cristina Conati; Michael Barz; Daniel Sonntag (ICMI Companion, 2024)

Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers. - Silvan Mertes; Tobias Huber; Christina Karle; Katharina Weitz; Ruben Schlagowski; Cristina Conati; Elisabeth André (IJCAI, 2024)

A Gaze into Argumentative Chatbots: Exploring the Influence of Challenger Arguments on Reflection and Attention. - Klaus Weber 001; Natalie Hogh; Cristina Conati; Elisabeth André (IVA, 2024)

An Intelligent Pedagogical Agent for In-The-Wild Interaction in an Open-Ended Learning Environment for Computational Thinking. - Rohit Murali; Sébastien Lallé; Cristina Conati (IVA, 2024)

Does Difficulty even Matter? Investigating Difficulty Adjustment and Practice Behavior in an Open-Ended Learning Task. - Anan Schütt; Tobias Huber; Jauwairia Nasir; Cristina Conati; Elisabeth André (LAK, 2024)

Multimodal Classification of Alzheimer's Disease by Combining Facial and Eye-Tracking Data. - Shih-Han Chou; Miini Teng; Harshinee Sriram; Chuyuan Li; Giuseppe Carenini; Cristina Conati; Thalia Shoshana Field; Hyeju Jang; Gabriel Murray (ML4H@NeurIPS, 2024)

Initial results on personalizing explanations of AI hints in an ITS. - Vedant Bahel; Harshinee Sriram; Cristina Conati (UMAP, 2024)

Evaluating the Faithfulness of Causality in Saliency-Based Explanations of Deep Learning Models for Temporal Colour Constancy. - Matteo Rizzo; Cristina Conati; Daesik Jang; Hui Hu (xAI (3), 2024)

Personalizing explanations of AI-driven hints to users' cognitive abilities: an empirical evaluation. - Vedant Bahel; Harshinee Sriram; Cristina Conati (CoRR, 2024)

Personalizing Explanations of AI-Driven Hints to Users' Characteristics: An Empirical Evaluation. - Vedant Bahel; Harshinee Sriram; Cristina Conati (AIED (1), 2025)

An Emergent Bottom-Up Categorization of Students' LLMs Usage in an Undergraduate Research Course. - Ivan Orozco Vasquez; Romina Mahinpei; Noureddine Elouazizi; Cristina Conati (AIED (5), 2025)

A Comparison of Real-Time User Classification Methods using Interaction Data for Open-ended Learning. - Rohit Murali; Cristina Conati; David Poole 001 (EDM, 2025)

Assessing Computational Thinking Skills Through Artefacts: The Case of ModeLLer. - Chiara Mannari; Tommaso Turchi; Caterina Frosali; Manlio Bacco; Alessio Ferrari 001; Cristina Conati; Alessio Malizia (IS-EUD, 2025)

Envisioning AI Support during Semi-Structured Interviews Across the Expertise Spectrum. - Zhe Liu 043; Jiamin Dai; Cristina Conati; Joanna McGrenere (Proc. ACM Hum. Comput. Interact., 2025)

GANonymization: A GAN-Based Face Anonymization Framework for Preserving Emotional Expressions. - Fabio Hellmann; Silvan Mertes; Mohamed Benouis; Alexander Hustinx; Tzung-Chien Hsieh; Cristina Conati; Peter M. Krawitz; Elisabeth André (ACM Trans. Multim. Comput. Commun. Appl., 2025)

The State of the Art in User-Adaptive Visualizations. - Fernando J. Yanez; Cristina Conati; Alvitta Ottley; Carolina Nobre (Comput. Graph. Forum, 2025)