  | 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 |
 | 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. |
 | 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 |
 | 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 |
 | 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 |
 | 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 |
 | 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 |
 | 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., 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 |
 | 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. |
 | 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 |
 | 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 |
 | LEIVA, L. A., PRUSKI, C., MARKOVICH, R., NAJJAR, A., & SCHOMMER, C. (Eds.). (2021). Proceedings of BNAIC/BeneLearn 2021. Luxembourg: BnL. |
 | 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 |
 | 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 |
 | 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 |
 | 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 |
 | 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 |
 | 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 |