References of "Leiva, Luis A. 50043202"
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See detailThe Elements of Visual Art Recommendation: Learning Latent Semantic Representations of Paintings
Yilma, Bereket Abera UL; Leiva, Luis A. UL

in Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23) (2023, April)

Artwork recommendation is challenging because it requires understanding how users interact with highly subjective content, the complexity of the concepts embedded within the artwork, and the emotional and ... [more ▼]

Artwork recommendation is challenging because it requires understanding how users interact with highly subjective content, the complexity of the concepts embedded within the artwork, and the emotional and cognitive reflections they may trigger in users. In this paper, we focus on efficiently capturing the elements (i.e., latent semantic relationships) of visual art for personalized recommendation. We propose and study recommender systems based on textual and visual feature learning techniques, as well as their combinations. We then perform a small-scale and a large-scale user-centric evaluation of the quality of the recommendations. Our results indicate that textual features compare favourably with visual ones, whereas a fusion of both captures the most suitable hidden semantic relationships for artwork recommendation. Ultimately, this paper contributes to our understanding of how to deliver content that suitably matches the user's interests and how they are perceived. [less ▲]

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See detailDescribing UI Screenshots in Natural Language
Leiva, Luis A. UL; Hota; Oulasvirta, Antti

in ACM Transactions on Intelligent Systems and Technology (2022)

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See detailModeling How Different User Groups Perceive Webpage Aesthetics
Leiva, Luis A. UL; Shiripour, Morteza; Oulasvirta, Antti

in Universal Access in the Information Society (2022)

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See detailGustav: Cross-device Cross-computer Synchronization of Sensory Signals
Latifzadeh, Kayhan UL; Leiva, Luis A. UL

in Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (2022)

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See detailConversational Agents Trust Calibration: A User-Centred Perspective to Design
Dubiel, Mateusz UL; Daronnat, Sylvain; Leiva, Luis A. UL

in Conversational Agents Trust Calibration: A User-Centred Perspective to Design (2022)

Previous work identified trust as one of the key requirements for adoption and continued use of conversational agents (CAs). Given recent advances in natural language processing and deep learning, it is ... [more ▼]

Previous work identified trust as one of the key requirements for adoption and continued use of conversational agents (CAs). Given recent advances in natural language processing and deep learning, it is currently possible to execute simple goal-oriented tasks by using voice. As CAs start to provide a gateway for purchasing products and booking services online, the question of trust and its impact on users’ reliance and agency becomes ever-more pertinent. This paper collates trust-related literature and proposes four design suggestions that are illustrated through example conversations. Our goal is to encourage discussion on ethical design practices to develop CAs that are capable of employing trust-calibration techniques that should, when relevant, reduce the user’s trust in the agent. We hope that our reflections, based on the synthesis of insights from the fields of human-agent interaction, explainable ai, and information retrieval, can serve as a reminder of the dangers of excessive trust in automation and contribute to more user-centred CA design. [less ▲]

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See detailLearning GUI Completions with User-defined Constraints
Brückner, Lukas; Leiva, Luis A. UL; Oulasvirta, Antti

in ACM Transactions on Interactive Intelligent Systems (2022), 12(1),

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See detailDebiased Label Aggregation for Subjective Crowdsourcing Tasks
Wallace, Shaun; Cai, Tianyuan; Le, Brendan et al

in Extended Abstracts of the SIGCHI Conference on Human Factors in Computing Systems (CHI EA) (2022)

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See detailSolids on Soli: Millimetre-Wave Radar Sensing through Materials
Čopič Pucihar, Klen; Attygalle, Nuwan T.; Kljun, Matjaž et al

in Proceedings of the ACM on Human-Computer Interaction (2022)

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See detailRobust and Deployable Gesture Recognition for Smartwatches
Kunwar, Utkarsh; Borar, Sheetal; Berghofer, Moritz et al

in Proceedings of the ACM Conference on Intelligent User Interfaces (IUI) (2022)

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See detailInteractive Exploration of Large-scale UI Datasets with Design Maps
Leiva, Luis A. UL; Hota, Asutosh; Oulasvirta, Antti

in Interacting with Computers (2021)

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See detailHow We Swipe: A Large-scale Shape-writing Dataset and Empirical Findings
Leiva, Luis A. UL; Kim, Sunjun; Cui, Wenzhe et al

in Proceedings of the ACM International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) (2021)

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See detailEducational Videogame to Learn the Periodic Table: Design Rationale and Lessons Learned
Traver, V. Javier; Leiva, Luis A. UL; Martí-Centelles, Vicente et al

in Journal of Chemical Education (2021)

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See detailProceedings of BNAIC/BeneLearn 2021
Leiva, Luis A. UL; Pruski, Cedric UL; Markovich, Réka UL et al

Book published by BnL (2021)

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See detailAttentive Sequence-to-Sequence Modeling of Stroke Gestures Articulation Performance
Kumar T., Lokesh; Leiva, Luis A. UL

in IEEE Transactions on Human-Machine Systems (2021), 51(6),

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See detailNo Interface, No Problem: Gesture Recognition on Physical Objects Using Radar Sensing
Attygalle, Nuwan T.; Leiva, Luis A. UL; Kljun, Matjaž et al

in Sensors (2021), 21(17),

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See detailConversations with GUIs
Todi, Kashyap; Leiva, Luis A. UL; Buschek, Daniel et al

in Proceedings of the ACM Conference on Designing Interactive Systems (DIS) (2021)

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See detailGlimpse: A Gaze-Based Measure of Temporal Salience
Traver, V. Javier; Zorío, Judith; Leiva, Luis A. UL

in Sensors (2021), 21(9),

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See detailWhen Choice Happens: A Systematic Examination of Mouse Movement Length for Decision Making in Web Search
Brückner, Lukas; Arapakis, Ioannis; Leiva, Luis A. UL

in Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (2021)

Detailed reference viewed: 210 (16 UL)