NectualitéLet’s Play – Épisode 3
Un épisode qui frappe juste ! Sam et Umed portent une histoire enfin fluide et vibrante
L’humour est affûté, la tension romantique électrise ᥫ᭡ on sent la série passer à la vitesse supérieure
nopeGame \& Watch
(2017) : Priscilla N.Y. Wong and Jacob M. Rigby and Duncan P. Brumby
DOI: https://doi.org/10.1145/3116595.3116613
#HCI #game_studies #immersion #lets_play #video_games #youtube
#my_bibtex
(2017) : Priscilla N.Y. Wong and Jacob M. Rigby and Duncan P. Brumby
DOI: https://doi.org/10.1145/3116595.3116613
#HCI #game_studies #immersion #lets_play #video_games #youtube
#my_bibtex
Automated Let's Play Commentary
(2019) : Shah, Shukan and Guzdial, Matthew and Riedl, Mark O
url: https://arxiv.org/abs/1909.02195
#ai #commentary #lets_play #procedural_content
#my_bibtex
(2019) : Shah, Shukan and Guzdial, Matthew and Riedl, Mark O
url: https://arxiv.org/abs/1909.02195
#ai #commentary #lets_play #procedural_content
#my_bibtex
Automated Let's Play Commentary
Let's Plays of video games represent a relatively unexplored area for experimental AI in games. In this short paper, we discuss an approach to generate automated commentary for Let's Play videos, drawing on convolutional deep neural networks. We focus on Let's Plays of the popular game Minecraft. We compare our approach and a prior approach and demonstrate the generation of automated, artificial commentary.