Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Perttu Hämäläinen"'
Publikováno v:
Archive of Mechanical Engineering, Vol vol. 67, Iss No 3, Pp 263-278 (2020)
This paper presents a new algorithm that approximates the forces that develop between a human hand and the handles of a climbing wall. A hand-to-handle model was developed using this algorithm for the Open Dynamics Engine physics solver, which can be
Externí odkaz:
https://doaj.org/article/33ffb6f22870426390541c54dbdca98d
Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 10767 (2021)
Virtual reality provides a powerful way to visualize the three-dimensional, atomic-level structures of molecules and materials. We present new virtual reality software for molecular modeling and for testing the use of virtual reality in organic chemi
Externí odkaz:
https://doaj.org/article/0aaa2c98c35f499b9b2f1fe2339e6dc8
Collecting data is one of the bottlenecks of Human-Computer Interaction (HCI) research. Motivated by this, we explore the potential of large language models (LLMs) in generating synthetic user research data.We use OpenAI’s GPT-3 model to generate o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea06dbbddc08c4c4d578dfbe4ff7ccf0
https://aaltodoc.aalto.fi/handle/123456789/120562
https://aaltodoc.aalto.fi/handle/123456789/120562
Autor:
Asko Relas, Christian Guckelsberger, Henri Heiskanen, Shaghayegh Roohi, Jari Takatalo, Perttu Hämäläinen
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 5:1-17
This paper presents a novel approach to automated playtesting for the prediction of human player behavior and experience. We have previously demonstrated that Deep Reinforcement Learning (DRL) game-playing agents can predict both game difficulty and
Publikováno v:
Kristensen, J T, Guckelsberger, C, Burelli, P & Hämäläinen, P 2022, ' Personalized Game Difficulty Prediction Using Factorization Machines ', UIST: User Interface Software and Technology, pp. 1-13 . https://doi.org/10.1145/3526113.3545624
The accurate and personalized estimation of task difficulty provides many opportunities for optimizing user experience. However, user diversity makes such difficulty estimation hard, in that empirical measurements from some user sample do not necessa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fad6380948c8ba5910cf423e562edd6
http://arxiv.org/abs/2209.13495
http://arxiv.org/abs/2209.13495
Cutscenes form an integral part of many video games, but their creation is costly, time-consuming, and requires skills that many game developers lack. While AI has been leveraged to semi-automate cutscene production, the results typically lack the in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38d216756e9e8812a48087193303a443
http://arxiv.org/abs/2208.05701
http://arxiv.org/abs/2208.05701
Publikováno v:
CHI Conference on Human Factors in Computing Systems
openaire: EC/H2020/101017779/EU//CAROUSEL Dancing is a universal human activity, and also a domain of enduring significance in Human-Computer Interaction (HCI) research. However, there has been limited investigation into how computing supports the ex
Publisher Copyright: © 2022 Owner/Author. Computational interaction and user modeling is presently limited in the domain of emotions. We investigate a potential new approach to computational modeling of emotional response behavior, by using modern n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::949fe49ab8396a4f2086ead5c664e614
https://aaltodoc.aalto.fi/handle/123456789/117475
https://aaltodoc.aalto.fi/handle/123456789/117475
Autor:
Aleksi Ikkala, Florian Fischer, Markus Klar, Miroslav Bachinski, Arthur Fleig, Andrew Howes, Perttu Hämäläinen, Jörg Müller, Roderick Murray-Smith, Antti Oulasvirta
Publikováno v:
UIST ’22: The 35th Annual ACM Symposium on User Interface Software and Technology
Forward biomechanical simulation in HCI holds great promise as a tool for evaluation, design, and engineering of user interfaces. Although reinforcement learning (RL) has been used to simulate biomechanics in interaction, prior work has relied on unr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf3618397013d2e2e219d1ddc7d12c4e
https://hdl.handle.net/11250/3055069
https://hdl.handle.net/11250/3055069
Autor:
Aleksi Ikkala, Perttu Hämäläinen
Publikováno v:
Biosystems & Biorobotics ISBN: 9783030703158
OpenSim is a widely used biomechanics simulator with several anatomically accurate human musculo-skeletal models. While OpenSim provides useful tools to analyse human movement, it is not fast enough to be routinely used for emerging research directio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8af34f80486fdb9ebcd86e3d90ecc20d
https://doi.org/10.1007/978-3-030-70316-5_45
https://doi.org/10.1007/978-3-030-70316-5_45