Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Jari Takatalo"'
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:
CHI PLAY
We propose a novel simulation model that is able to predict the per-level churn and pass rates of Angry Birds Dream Blast, a popular mobile free-to-play game. Our primary contribution is to combine AI gameplay using Deep Reinforcement Learning (DRL)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb006480e0f880045ddb37ebfa1e7213
https://aaltodoc.aalto.fi/handle/123456789/101628
https://aaltodoc.aalto.fi/handle/123456789/101628
Publikováno v:
CHI PLAY
We present an exploratory study of analyzing and visualizing player facial expressions from video with deep neural networks. We contribute a novel data processing and visualization technique we call Affect Gradients, which provides descriptive statis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e49a74c57033fa069eb2812e7cd1a1b8
https://doi.org/10.1145/3242671.3242701
https://doi.org/10.1145/3242671.3242701
Publikováno v:
CHI PLAY
Empowerment of movement through superhuman strength and flexibility is a staple of action video game design. However, relatively little work has been done on the same in the context of Virtual Reality and exergames, especially outside the most obviou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::727a0022cfe6f598616fff911caf3821
http://juuli.fi/Record/0334843918
http://juuli.fi/Record/0334843918
Publikováno v:
CHI PLAY (Companion)
We introduce a novel approach for improving performance and motivation in sports, which we term computer-aided imagery (CAI). In many sports, mental preparation for performance involves imagery, the cognitive skill of rehearsing the task in one's min
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62524660a01eac95e8a5f760a852f8d3
http://juuli.fi/Record/0283495317
http://juuli.fi/Record/0283495317
Publikováno v:
Simulation & Gaming. 42:656-673
Playing entertainment computer, video, and portable games, namely, digital games, is receiving more and more attention in academic research. Games are studied in different situations with numerous methods, but little is known about if and how the pla
Autor:
Göte Nyman, Kawai Takashi, Takashi Shibata, Jukka Häkkinen, Jari Takatalo, Shinsuke Kishi, Sanghyun Kim
Publikováno v:
The Journal of The Institute of Image Information and Television Engineers. 64:1912-1920
Publikováno v:
International Journal of Human-Computer Studies. 67:787-799
Human movement in virtual environments (VEs) is a largely unstudied area, and there are no well-established methods of measuring it in VEs. Consequently, it is unclear how movement affects the experiential side of VEs. We introduce a novel method of
Publikováno v:
Computers in Human Behavior. 24:1-15
Framework is presented for measuring human experience in virtual environment (VE). Human experience is defined as the content of direct observation or participation in an event. Both psychological and emotional properties are integrated into this ong
Publikováno v:
Human–Computer Interaction Series ISBN: 9783319159843
Game User Experience Evaluation
Game User Experience Evaluation
Digital games elicit rich and meaningful experiences for the gamers. This makes games hard to study solely with usability methods that are used in the field of human–computer interaction. Here is presented a candidate framework to analyze multidime
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::551d479cffc4d1f0b5ab8e6ebafeaae6
https://doi.org/10.1007/978-3-319-15985-0_5
https://doi.org/10.1007/978-3-319-15985-0_5