Zobrazeno 1 - 10
of 1 198
pro vyhledávání: '"A. Oulasvirta"'
We present a model for inferring where users look during interaction based on keypress data only. Given a key log, it outputs a scanpath that tells, moment-by-moment, how the user had moved eyes while entering those keys. The model can be used as a p
Externí odkaz:
http://arxiv.org/abs/2412.15669
Developing a reinforcement learning (RL) agent often involves identifying effective values for a large number of parameters, covering the policy, reward function, environment, and the agent's internal architecture, such as parameters controlling how
Externí odkaz:
http://arxiv.org/abs/2410.19528
Autor:
Fischer, Florian, Ikkala, Aleksi, Klar, Markus, Fleig, Arthur, Bachinski, Miroslav, Murray-Smith, Roderick, Hämäläinen, Perttu, Oulasvirta, Antti, Müller, Jörg
Automated biomechanical testing has great potential for the development of VR applications, as initial insights into user behaviour can be gained in silico early in the design process. In particular, it allows prediction of user movements and ergonom
Externí odkaz:
http://arxiv.org/abs/2404.17695
Present-day graphical user interfaces (GUIs) exhibit diverse arrangements of text, graphics, and interactive elements such as buttons and menus, but representations of GUIs have not kept up. They do not encapsulate both semantic and visuo-spatial rel
Externí odkaz:
http://arxiv.org/abs/2404.13521
From a visual perception perspective, modern graphical user interfaces (GUIs) comprise a complex graphics-rich two-dimensional visuospatial arrangement of text, images, and interactive objects such as buttons and menus. While existing models can accu
Externí odkaz:
http://arxiv.org/abs/2404.10163
When building statistical models for Bayesian data analysis tasks, required and optional iterative adjustments and different modelling choices can give rise to numerous candidate models. In particular, checks and evaluations throughout the modelling
Externí odkaz:
http://arxiv.org/abs/2404.01688
Autor:
Jiang, Yue, Leiva, Luis A., Houssel, Paul R. B., Tavakoli, Hamed R., Kylmälä, Julia, Oulasvirta, Antti
Different types of user interfaces differ significantly in the number of elements and how they are displayed. To examine how such differences affect the way users look at UIs, we collected and analyzed a large eye-tracking-based dataset, UEyes (62 pa
Externí odkaz:
http://arxiv.org/abs/2402.05202
Autor:
Wang, Yueyang, Srinivasan, Aravinda Ramakrishnan, Jokinen, Jussi P. P., Oulasvirta, Antti, Markkula, Gustav
This paper presents a model of pedestrian crossing decisions, based on the theory of computational rationality. It is assumed that crossing decisions are boundedly optimal, with bounds on optimality arising from human cognitive limitations. While pre
Externí odkaz:
http://arxiv.org/abs/2402.04370
Online design communities, where members exchange free-form views on others' designs, offer a space for beginners to learn visual design. However, the content of these communities is often unorganized for learners, containing many redundancies and ir
Externí odkaz:
http://arxiv.org/abs/2310.12019
Autor:
Wang, Yueyang, Srinivasan, Aravinda Ramakrishnan, Jokinen, Jussi P. P., Oulasvirta, Antti, Markkula, Gustav
Understanding the interaction between different road users is critical for road safety and automated vehicles (AVs). Existing mathematical models on this topic have been proposed based mostly on either cognitive or machine learning (ML) approaches. H
Externí odkaz:
http://arxiv.org/abs/2301.11737