  | Bailly, G., Duarte, D., Oulasvirta, A., & LEIVA, L. A. (November 2025). Modeling how menu search strategies develop with experience. International Journal of Human-Computer Studies, 205, 103615. doi:10.1016/j.ijhcs.2025.103615  Peer Reviewed verified by ORBi |
 | OLIVEIRA, I., MOCANU, D. C., & LEIVA, L. A. (2025). Sparse-to-Sparse Training of Diffusion Models. Transactions on Machine Learning Research. Peer Reviewed verified by ORBi |
 | YILMA, B. A., & LEIVA, L. A. (2025). Affect-aware Cross-Domain Recommendation for Art Therapy via Music Preference Elicitation. In Proceedings of the Nineteenth ACM Conference on Recommender Systems (RecSys ’25) (19th). Prague, Czechia: ACM. doi:10.1145/3705328.3748084 Peer reviewed |
 | LATIFZADEH, K., LEIVA, L. A., Čopič Pucihar, K., Kljun, M., Devetak, I., & Steblovnik, L. (2025). Assessing Medical Training Skills via Eye and Head Movements. In UMAP '25: Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization (pp. 1 - 10). New York, United States - New York: Association for Computing Machinery. doi:10.1145/3699682.3728330 Peer reviewed Dataset: https://zenodo.org/records/15163456 |
 | LATIFZADEH, K., & LEIVA, L. A. (2025). Thalamus: A User Simulation Toolkit for Prototyping Multimodal Sensing Studies. In UMAP Adjunct '25: Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization (pp. 109 - 113). New York, United States - New York: Association for Computing Machinery. doi:10.1145/3708319.3733687 Peer reviewed |
 | DURAISAMY, S., DUBIEL, M., REKRUT, M., & LEIVA, L. A. (2025). Transfer Learning for Covert Speech Classification Using EEG Hilbert Envelope and Temporal Fine Structure. In Proceedings of ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICASSP49660.2025.10888880 Peer reviewed |
 | DURAISAMY, S., Roeser, N., DUBIEL, M., & LEIVA, L. A. (2025). An Adaptive Brain-Computer Interface Game with Blink Controls and Cognitive State Monitoring. 30th International Conference on Intelligent User Interfaces Companion (IUI Companion ’25), 129-132. doi:10.1145/3708557.3716365 Peer reviewed |
 | NIKNAM, S., DURAISAMY, S., BOTEV, J., & LEIVA, L. A. (2025). Brain Signatures of Time Perception in Virtual Reality. IEEE Transactions on Visualization and Computer Graphics, 31 (5), 2535-2545. doi:10.1109/TVCG.2025.3549570 Peer Reviewed verified by ORBi |
 | LEIVA, L. A., Diaz, M., ATTYGALLE, N., Ferrer, M. A., & Plamondon, R. (2025). Telling Human and Machine Handwriting Apart. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 55 (10), 7130 - 7141. doi:10.1109/TSMC.2025.3579921 Peer Reviewed verified by ORBi |
 | NIKNAM, S., DURAISAMY, S., BOTEV, J., & LEIVA, L. A. (2025). EEG-Based Prediction of Perceptual Timing Errors in Virtual Reality. In Proceedings of the 24th IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2025) (pp. 168-173). IEEE. doi:10.1109/ISMAR-Adjunct68609.2025.00037 Peer reviewed |
 | Komninos, A., Feit, A. M., LEIVA, L. A., Lehmann, F., Simou, I., Minas, D., Fotopoulos, A., & Xenos, M. (2024). An LLM-driven Transcription Task for Mobile Text Entry Studies. In A. Matviienko (Ed.), Proceedings of MUM 2024 the 23rd International Conference on Mobile and Ubiquitous Multimedia. Association for Computing Machinery. doi:10.1145/3701571.3701586 Peer reviewed |
 | DUBIEL, M., LEIVA, L. A., BONGARD-BLANCHY, K., & SERGEEVA, A. (10 November 2024). "Hey Genie, You Got Me Thinking about My Menu Choices!" Impact of Proactive Feedback on User Perception and Reflection in Decision-making Tasks. ACM Transactions on Computer-Human Interaction, 31 (5), 1-30. doi:10.1145/3685274 Peer Reviewed verified by ORBi |
 | HOSSEINI KIVANANI, N., Salobrar-García, E., Elvira-Hurtado, L., Salas, M., SCHOMMER, C., & LEIVA, L. A. (2024). Blueprint of Tomorrow: Contrasting Off-Line and On-Line Drawing Tasks for Alzheimer’s Disease Screening. In V. Julian (Ed.), Intelligent Data Engineering and Automated Learning – IDEAL 2024 - 25th International Conference, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-031-77731-8_38 Peer reviewed |
 | Jiang, Y., Guo, Z., Rezazadegan Tavakoli, H., LEIVA, L. A., & Oulasvirta, A. (2024). EyeFormer: Predicting Personalized Scanpaths with Transformer-Guided Reinforcement Learning. In UIST 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc. doi:10.1145/3654777.3676436 Peer reviewed |
 | Eloi, D., Sahraoui, A., Vanderdonckt, J., & LEIVA, L. A. (2024). User-controlled Form Adaptation by Unsupervised Learning. In Adjunct Proceedings of the 13th Nordic Conference on Human-Computer Interaction, NordiCHI 2024. Association for Computing Machinery. doi:10.1145/3677045.3685431 Peer reviewed |
 | HOSSEINI KIVANANI, N., Salobrar-García, E., Elvira-Hurtado, L., Salas, M., SCHOMMER, C., & LEIVA, L. A. (2024). Predicting Alzheimer’s Disease and Mild Cognitive Impairment with Off-line and On-line House Drawing Tests. In 2024 IEEE 20th International Conference on e-Science (e-Science) (pp. 1--10). IEEE. doi:10.1109/e-science62913.2024.10678661 Peer reviewed |
 | CIARRONE, A., LEIVA, L. A., & DUBIEL, M. (2024). Enricommender: Business Intelligence for User Interface Design. Interacting with Computers. doi:10.1093/iwc/iwae037 Peer Reviewed verified by ORBi |
 | HILLAH, L. E. A., DUBIEL, M., & LEIVA, L. A. (2024). "¿Te vienes? Sure!" Joint Fine-tuning of Language Detection and Transcription Improves Automatic Recognition of Code-Switching Speech. In Proceedings of the 6th ACM Conference on Conversational User Interfaces. New York, NY, United States: Association for Computing Machinery. doi:10.1145/3640794.3665579 Peer reviewed |
 | Desai, S., DUBIEL, M., & LEIVA, L. A. (2024). Examining Humanness as a Metaphor to Design Voice User Interfaces. In Proceedings of the 6th Conference on ACM Conversational User Interfaces, CUI 2024. Association for Computing Machinery, Inc. doi:10.1145/3640794.3665535 Peer reviewed |
 | HADDAD, S.* , LATIFZADEH, K.* , DURAISAMY, S., Vanderdonckt, J., Daassi, O., Belghith, S., & LEIVA, L. A. (2024). Good GUIs, Bad GUIs: Affective Evaluation of Graphical User Interfaces. In Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization. New York, United States - New York: Association for Computing Machinery (ACM). doi:10.1145/3627043.3659549 Peer reviewed* These authors have contributed equally to this work. |
 | DUBIEL, M., BARGHOUTI, Y., KUDRYAVTSEVA, K., & LEIVA, L. A. (03 June 2024). On-device query intent prediction with lightweight LLMs to support ubiquitous conversations. Scientific Reports, 14 (1), 12731. doi:10.1038/s41598-024-63380-6 Peer Reviewed verified by ORBi |
 | EMAMI, P., Jiang, Y., Guo, Z., & LEIVA, L. A. (28 May 2024). Impact of Design Decisions in Scanpath Modeling. Proceedings of the ACM on Human-Computer Interaction, 8 (ETRA), 1-16. doi:10.1145/3655602 Peer Reviewed verified by ORBi |
 | HOSSEINI KIVANANI, N., Salobrar-García, E., Elvira-Hurtado, L., López-Cuenca, I., de Hoz, R., Ramírez, J. M., Gil, P., Salas-Carrillo, M., SCHOMMER, C., & LEIVA, L. A. (2024). Ink of Insight: Data Augmentation for Dementia Screening through Handwriting Analysis. In ICMHI 2024 - 2024 8th International Conference on Medical and Health Informatics. Association for Computing Machinery. doi:10.1145/3673971.3673992 Peer reviewed |
 | YILMA, B. A.* , Kim, C. M., Cupchik, G. C., & LEIVA, L. A. (2024). Artful Path to Healing: Using Machine Learning for Visual Art Recommendation to Prevent and Reduce Post-Intensive Care Syndrome (PICS). In CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems. Association for Computing Machinery. doi:10.1145/3613904.3642636 Peer reviewed |
 | LATIFZADEH, K.* , GOZALPOUR, N.* , Traver, V. J., Ruotsalo, T., Kawala-Sterniuk, A., & LEIVA, L. A. (2024). Efficient Decoding of Affective States from Video-elicited EEG Signals: An Empirical Investigation. ACM Transactions on Multimedia Computing, Communications, and Applications. doi:10.1145/3663669 Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | DUBIEL, M.* , SERGEEVA, A.* , & LEIVA, L. A. (2024). Impact of Voice Fidelity on Decision Making: A Potential Dark Pattern? In ACM International Conference on Intelligent User Interfaces (IUI ’24). ACM. doi:10.1145/3640543.3645202 Peer reviewed* These authors have contributed equally to this work. |
 | Moreno-Alcayde, Y., Traver, V. J., & LEIVA, L. A. (January 2024). Sneaky emotions: impact of data partitions in affective computing experiments with brain-computer interfacing. Biomedical Engineering Letters, 14 (1), 103 - 113. doi:10.1007/s13534-023-00316-5 Peer reviewed |
 | Ruotsalo, T., Traver, V. J., Kawala-Sterniuk, A., & LEIVA, L. A. (2024). Affective Relevance. IEEE Intelligent Systems, 39 (4), 12 - 22. doi:10.1109/MIS.2024.3391508 Peer Reviewed verified by ORBi |
 | Houssel, P. R. B., & LEIVA, L. A. (2024). User Re-Authentication via Mouse Movements and Recurrent Neural Networks. In G. LENZINI (Ed.), Proceedings of the 10th International Conference on Information Systems Security and Privacy. Science and Technology Publications, Lda. doi:10.5220/0012296600003648 Peer reviewed |
 | Della Santina, C., Corbato, C. H., Sisman, B., LEIVA, L. A., Arapakis, I., Vakalellis, M., Vanderdonckt, J., D’Haro, L. F., Manzi, G., Becchio, C., Elamrani, A., Alirezaei, M., Castellano, G., Dimarogonas, D. V., Ghosh, A., Haesaert, S., Soudjani, S., Stroeve, S., Verschure, P., ... Sierra, C. (2024). Awareness in Robotics: An Early Perspective from the Viewpoint of the EIC Pathfinder Challenge "Awareness Inside". In C. Secchi (Ed.), European Robotics Forum 2024 - 15th ERF. Springer Nature. doi:10.1007/978-3-031-76424-0_20 Peer reviewed |
 | Hosseini-Kivanani, N., Salobrar-García, E., Elvira-Hurtado, L., Salas, M., SCHOMMER, C., & LEIVA, L. A. (2024). SCREENING OF ALZHEIMER’S DISEASE AND MILD COGNITIVE IMPAIRMENT THROUGH INTEGRATED ON-LINE AND OFF-LINE HOUSE DRAWING TESTS. In P. Miranda (Ed.), Proceedings of the International Conferences on Applied Computing and WWW/Internet 2024. IADIS Press. Peer reviewed |
 | HOSSEINI KIVANANI, N.* , SCHOMMER, C., & LEIVA, L. A. (2023). The Magic Number: Impact of Sample Size for Dementia Screening Using Transfer Learning and Data Augmentation of Clock Drawing Test Images. In The Magic Number: Impact of Sample Size for Dementia Screening Using Transfer Learning and Data Augmentation of Clock Drawing Test Images. China: IEEE. doi:10.1109/healthcom56612.2023.10472399 Peer reviewed |
 | Ruotsalo, T., Mäkelä, K., Spapé, M. M., & LEIVA, L. A. (2023). Feeling Positive? Predicting Emotional Image Similarity from Brain Signals. In MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia. Association for Computing Machinery, Inc. doi:10.1145/3581783.3613442 Peer reviewed |
 | HOSSEINI KIVANANI, N., Salobrar-García, E., Elvira-Hurtado, L., López-Cuenca, I., De Hoz, R., Ramírez, J. M., Gil, P., Salas, M., SCHOMMER, C., & LEIVA, L. A. (2023). Better Together: Combining Different Handwriting Input Sources Improves Dementia Screening. In Proceedings 2023 IEEE 19th International Conference on e-Science, e-Science 2023 (pp. 1-7). Institute of Electrical and Electronics Engineers Inc. doi:10.1109/e-Science58273.2023.10254799 Peer reviewed |
 | Kilinç, S., PONAKA, M., & LEIVA, L. A. (2023). FaceWard: Face Anonymization in Group Photos. In A. Komninos (Ed.), Proceedings of the 25th International Conference on Mobile Human-Computer Interaction, MobileHCI 2023 Companion. Association for Computing Machinery, Inc. doi:10.1145/3565066.3608249 Peer reviewed |
 | Ham, L., & LEIVA, L. A. (2023). Interactive topic modeling for the broadcasting media. In T. Granollers i Saltiveri (Ed.), Proceedings of the 23rd International Conference on Human-Computer Interaction, INTERACCION 2023. Association for Computing Machinery. doi:10.1145/3612783.3612803 Peer reviewed |
 | DUBIEL, M., BONGARD, K., LEIVA, L. A., & SERGEEVA, A. (2023). Are you sure you want to order that? On Appropriateness of Voice-only Proactive Feedback Strategies. In Proceedings of the ACM Conference on Conversational User Interfaces (CUI). United States: ACM. doi:10.1145/3571884.3604312 Peer reviewed |
 | Ruotsalo, T., Spapé, M. M., Mäkelä, K., & LEIVA, L. A. (2023). Affective Relevance Inferring Emotional Responses via fNIRS Neuroimaging. In SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc. doi:10.1145/3539618.3591946 Peer reviewed |
 | Lemarquis, D. C. A., YILMA, B. A., & LEIVA, L. A. (July 2023). What can a swiped word tell us more? Demographic and behavioral correlates from shape-writing text entry. Neural Computing and Applications, 35 (21), 15531 - 15548. doi:10.1007/s00521-023-08559-0 Peer Reviewed verified by ORBi |
 | YILMA, B. A., & LEIVA, L. A. (2023). Together Yet Apart: Multimodal Representation Learning for Personalised Visual Art Recommendation. In B. A. YILMA & L. A. LEIVA, Proceedings of the ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2023). doi:10.1145/3565472.3592964 Peer reviewed |
 | DUBIEL, M., & LEIVA, L. A. (28 April 2023). Let’s Talk it through, anew: Promises and Pitfalls of Customisable Conversational Reflection Support [Paper presentation]. CHI’23 Workshop: Integrating Individual and Social Contexts into Self-Reflection Technologies. Peer reviewed |
 | YILMA, B. A., & LEIVA, L. A. (2023). The Elements of Visual Art Recommendation: Learning Latent Semantic Representations of Paintings. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23). doi:10.1145/3544548.3581477 Peer reviewed |
 | CAPOZUCCA, A., & LEIVA, L. A. (23 January 2023). Is it Worth Attending Classes in-person? A Post-COVID Study in ICT University Courses [Paper presentation]. 2nd Int. Workshop on Frontiers in Software Engineering Education, Villebrumier, France. |
 | Jiang, Y., LEIVA, L. A., HOUSSEL, P. R. B., Tavakoli, H. R., Kylmälä, J., & Oulasvirta, A. (2023). UEyes: Understanding Visual Saliency across User Interface Types. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI). doi:10.1145/3544548.3581096 Peer reviewed |
 | LEIVA, L. A., Arapakis, I., Vakalellis, M., & Vanderdonckt, J. (2023). Context-aware Adaptive Visualizations for Critical Decision Making [Paper presentation]. CHI Workshop on Future of Computational Approaches for Understanding and Adapting User Interfaces, Germany. Peer reviewed |
 | LEIVA, L. A., Shiripour, M., & Oulasvirta, A. (2022). Modeling How Different User Groups Perceive Webpage Aesthetics. Universal Access in the Information Society. doi:10.1007/s10209-022-00910-x Peer Reviewed verified by ORBi |
 | Kunwar, U., Borar, S., Berghofer, M., Kylmälä, J., Aslan, I., LEIVA, L. A., & Oulasvirta, A. (2022). Robust and Deployable Gesture Recognition for Smartwatches. In Proceedings of the ACM Conference on Intelligent User Interfaces (IUI). doi:10.1145/3490099.3511125 Peer reviewed |
 | Čopič Pucihar, K., Attygalle, N. T., Kljun, M., Sandor, C., & LEIVA, L. A. (2022). Solids on Soli: Millimetre-Wave Radar Sensing through Materials. Proceedings of the ACM on Human-Computer Interaction. doi:10.1145/3532212 Peer Reviewed verified by ORBi |
 | Wallace, S., Cai, T., Le, B., & LEIVA, L. A. (2022). Debiased Label Aggregation for Subjective Crowdsourcing Tasks. In Extended Abstracts of the SIGCHI Conference on Human Factors in Computing Systems (CHI EA). doi:10.1145/3491101.3519614 Peer reviewed |
 | LEIVA, L. A., Hota, & Oulasvirta, A. (2022). Describing UI Screenshots in Natural Language. ACM Transactions on Intelligent Systems and Technology. doi:10.1145/3564702 Peer Reviewed verified by ORBi |
 | LEIVA, L. A., PRUSKI, C., MARKOVICH, R., NAJJAR, A., & SCHOMMER, C. (Eds.). (2022). Artificial Intelligence and Machine Learning - 33rd Benelux Conference on Artificial Intelligence, BNAIC/Benelearn 2021, Esch-sur-Alzette, Luxembourg, November 10-12, 2021, Revised Selected Papers. Springer. |
 | LATIFZADEH, K., & LEIVA, L. A. (2022). Gustav: Cross-device Cross-computer Synchronization of Sensory Signals. In Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology. doi:10.1145/3526114.3558723 Peer reviewed |
 | Brückner, L., LEIVA, L. A., & Oulasvirta, A. (2022). Learning GUI Completions with User-defined Constraints. ACM Transactions on Interactive Intelligent Systems, 12 (1). doi:10.1145/3490034 Peer Reviewed verified by ORBi |
 | DUBIEL, M., YILMA, B. A., LATIFZADEH, K., & LEIVA, L. A. (2022). A Contextual Framework for Adaptive User Interfaces: Modelling the Interaction Environment [Paper presentation]. CHI 22 Adaptive User Interfaces Workshop. Peer reviewed |
 | DUBIEL, M., Daronnat, S., & LEIVA, L. A. (2022). Conversational Agents Trust Calibration: A User-Centred Perspective to Design. In ACM Conference on Conversational User Interfaces (CUI 2022). ACM. doi:10.1145/3543829.3544518 Peer reviewed |
 | Traver, V. J., Zorío, J., & LEIVA, L. A. (2021). Glimpse: A Gaze-Based Measure of Temporal Salience. Sensors, 21 (9). doi:10.3390/s21093099 Peer Reviewed verified by ORBi |
 | Brückner, L., Arapakis, I., & LEIVA, L. A. (2021). When Choice Happens: A Systematic Examination of Mouse Movement Length for Decision Making in Web Search. In Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). doi:10.1145/3404835.3463055 Peer reviewed |
 | Todi, K., LEIVA, L. A., Buschek, D., TIan, P., & Oulasvirta, A. (2021). Conversations with GUIs. In Proceedings of the ACM Conference on Designing Interactive Systems (DIS). doi:10.1145/3461778.3462124 Peer reviewed |
 | LEIVA, L. A., Kim, S., Cui, W., Bi, X., & Oulasvirta, A. (2021). How We Swipe: A Large-scale Shape-writing Dataset and Empirical Findings. In Proceedings of the ACM International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI). doi:10.1145/3447526.3472059 Peer reviewed |
 | Traver, V. J., LEIVA, L. A., Martí-Centelles, V., & Jenifer, R.-M. (2021). Educational Videogame to Learn the Periodic Table: Design Rationale and Lessons Learned. Journal of Chemical Education. doi:10.1021/acs.jchemed.1c00109 Peer Reviewed verified by ORBi |
 | Attygalle, N. T., LEIVA, L. A., Kljun, M., Sandor, C., Plopski, A., Kato, H., & Čopič Pucihar, K. (2021). No Interface, No Problem: Gesture Recognition on Physical Objects Using Radar Sensing. Sensors, 21 (17). doi:10.3390/s21175771 Peer Reviewed verified by ORBi |
 | Kumar T., L., & LEIVA, L. A. (2021). Attentive Sequence-to-Sequence Modeling of Stroke Gestures Articulation Performance. IEEE Transactions on Human-Machine Systems, 51 (6). doi:10.1109/THMS.2021.3112961 Peer reviewed |
 | LEIVA, L. A., Arapakis, I., & Iordanou, C. (2021). My Mouse, My Rules: Privacy Issues of Behavioral User Profiling via Mouse Tracking. In Proceedings of ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR). doi:10.1145/3406522.3446011 Peer reviewed |
 | Todi, K., Bailly, G., LEIVA, L. A., & Oulasvirta, A. (2021). Adapting User Interfaces with Model-based Reinforcement Learning. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI). doi:10.1145/3411764.3445497 Peer reviewed |
 | Palipana, S., Salami, D., LEIVA, L. A., & Sigg, S. (2021). Pantomime: Mid-Air Gesture Recognition with Sparse Millimeter-Wave Radar Point Clouds. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 5 (1). doi:10.1145/3448110 Peer Reviewed verified by ORBi |
 | LEIVA, L. A., Hota, A., & Oulasvirta, A. (2021). Interactive Exploration of Large-scale UI Datasets with Design Maps. Interacting with Computers. doi:10.1093/IWCOMP/IWAB006 Peer Reviewed verified by ORBi |
 | LEIVA, L. A., PRUSKI, C., MARKOVICH, R., NAJJAR, A., & SCHOMMER, C. (Eds.). (2021). Proceedings of BNAIC/BeneLearn 2021. Luxembourg: BnL. |
