Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Canossa, Alessandro"'
Despite its technological breakthroughs, eXplainable Artificial Intelligence (XAI) research has limited success in producing the {\em effective explanations} needed by users. In order to improve XAI systems' usability, practical interpretability, and
Externí odkaz:
http://arxiv.org/abs/2403.14496
Publikováno v:
Foundations of Digital Games, 2015
Understanding player strategies is a key question when analyzing player behavior both for academic researchers and industry practitioners. For game designers and game user researchers, it is important to gauge the distance between intended strategies
Externí odkaz:
http://arxiv.org/abs/2106.13742
Autor:
El-Nasr, Magy Seif, author, Canossa, Alessandro, author, Nguyen, Truong-Huy D., author, Drachen, Anders, author
Externí odkaz:
https://doi.org/10.1093/oso/9780192897879.001.0001
Autor:
Melhart, David, Azadvar, Ahmad, Canossa, Alessandro, Liapis, Antonios, Yannakakis, Georgios N.
Publikováno v:
Proceedings of the 2019 International IEEE Conference on Games (CoG 2019)
Is it possible to predict the motivation of players just by observing their gameplay data? Even if so, how should we measure motivation in the first place? To address the above questions, on the one end, we collect a large dataset of gameplay data fr
Externí odkaz:
http://arxiv.org/abs/1902.00040
Player modeling is an important concept that has gained much attention in game research due to its utility in developing adaptive techniques to target better designs for engagement and retention. Previous work has explored modeling individual differe
Externí odkaz:
http://arxiv.org/abs/1804.00245
Autor:
El-Nasr, Magy Seif, author, Dinh, Truong Huy Nguyen, author, Canossa, Alessandro, author, Drachen, Anders, author
Publikováno v:
Game Data Science, 2021, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780192897879.003.0009
Autor:
El-Nasr, Magy Seif, author, Dinh, Truong Huy Nguyen, author, Canossa, Alessandro, author, Drachen, Anders, author
Publikováno v:
Game Data Science, 2021, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780192897879.003.0006
Autor:
El-Nasr, Magy Seif, author, Dinh, Truong Huy Nguyen, author, Canossa, Alessandro, author, Drachen, Anders, author
Publikováno v:
Game Data Science, 2021, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780192897879.003.0013
Autor:
El-Nasr, Magy Seif, author, Dinh, Truong Huy Nguyen, author, Canossa, Alessandro, author, Drachen, Anders, author
Publikováno v:
Game Data Science, 2021, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780192897879.003.0008
Autor:
El-Nasr, Magy Seif, author, Dinh, Truong Huy Nguyen, author, Canossa, Alessandro, author, Drachen, Anders, author
Publikováno v:
Game Data Science, 2021, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780192897879.003.0012