Predicting Confusion in Information Visualization from Eye Tracking and Interaction Data S Lallé, C Conati, G Carenini International Joint Conference on Artificial Intelligence (IJCAI), 2529-2535, 2016 | 80 | 2016 |
Towards user-adaptive information visualization C Conati, G Carenini, D Toker, S Lallé Twenty-Ninth AAAI Conference on Artificial Intelligence, 4100-4106, 2015 | 60 | 2015 |
Prediction of users' learning curves for adaptation while using an information visualization S Lallé, D Toker, C Conati, G Carenini Proceedings of the 20th International Conference on Intelligent User …, 2015 | 49 | 2015 |
Impact of individual differences on user experience with a visualization interface for public engagement S Lallé, C Conati, G Carenini adjunct publication of the 25th conference on user modeling, Adaptation and …, 2017 | 39* | 2017 |
Gaze-Driven Adaptive Interventions for Magazine-Style Narrative Visualizations S Lallé, D Toker, C Conati IEEE Transactions on Visualization and Computer Graphics 27 (6), 2941-2952, 2021 | 34 | 2021 |
Comparing and combining interaction data and eye-tracking data for the real-time prediction of user cognitive abilities in visualization tasks C Conati, S Lallé, MA Rahman, D Toker ACM Transactions on Interactive Intelligent Systems (TiiS) 10 (2), 1-41, 2020 | 34 | 2020 |
The role of user differences in customization: a case study in personalization for infovis-based content S Lallé, C Conati Proceedings of the 24th International conference on intelligent user …, 2019 | 34 | 2019 |
Prediction of individual learning curves across information visualizations S Lallé, C Conati, G Carenini User Modeling and User-Adapted Interaction 26, 307-345, 2016 | 33 | 2016 |
Further Results on Predicting Cognitive Abilities for Adaptive Visualizations C Conati, S Lallé, MA Rahman, D Toker International Joint Conference on Artificial Intelligence (IJCAI), 1568-1574, 2017 | 31 | 2017 |
Pupillometry and head distance to the screen to predict skill acquisition during information visualization tasks D Toker, S Lallé, C Conati Proceedings of the 22nd International Conference on Intelligent User …, 2017 | 29 | 2017 |
A data-driven student model to provide adaptive support during video watching across MOOCs S Lallé, C Conati Artificial Intelligence in Education: 21st International Conference, AIED …, 2020 | 28 | 2020 |
Prediction of student achievement goals and emotion valence during interaction with pedagogical agents S Lallé, C Conati, R Azevedo Proceedings of the 17th International Conference on Autonomous Agents and …, 2018 | 27 | 2018 |
The impact of student individual differences and visual attention to pedagogical agents during learning with MetaTutor S Lallé, M Taub, NV Mudrick, C Conati, R Azevedo Artificial Intelligence in Education: 18th International Conference, AIED …, 2017 | 23 | 2017 |
Fuzzy Logic Representation for Student Modelling G Goel, S Lallé, V Luengo International Conference on Intelligent Tutoring Systems, 428-433, 2012 | 21 | 2012 |
Understanding the effectiveness of adaptive guidance for narrative visualization: a gaze-based analysis O Barral, S Lallé, C Conati Proceedings of the 25th international conference on intelligent user …, 2020 | 20 | 2020 |
Impact of individual differences on affective reactions to pedagogical agents scaffolding S Lallé, NV Mudrick, M Taub, JF Grafsgaard, C Conati, R Azevedo Intelligent Virtual Agents: 16th International Conference, IVA 2016, Los …, 2016 | 17 | 2016 |
Comparing student models in different formalisms by predicting their impact on help success S Lallé, J Mostow, V Luengo, N Guin Artificial Intelligence in Education: 16th International Conference, AIED …, 2013 | 17 | 2013 |
Eye-tracking to predict user cognitive abilities and performance for user-adaptive narrative visualizations O Barral, S Lallé, G Guz, A Iranpour, C Conati Proceedings of the 2020 international conference on multimodal interaction …, 2020 | 14 | 2020 |
Predicting Co-Occurring Emotions from Eye-Tracking and Interaction Data in MetaTutor S Lallé, R Murali, C Conati, R Azevedo Proceedings of the 22nd International Conference on Artificial Intelligence …, 2021 | 13 | 2021 |
Share data treatment and analysis processes in Technology enhanced learning D Bouhineau, S Lalle, V Luengo, N Mandran, M Ortega, C Wajeman | 12 | 2013 |