Best Paper Award for the 1st International Conference on HCI in Games, in the context of HCI International 2019, 16-31 July 2019, Orlando, FL, USA
Certificate for Best Paper Award of the 1st International Conference on HCI in Games
conferred to
Shuchang Xu (Tsinghua University, P.R. China), Yilin Zhu (Stanford University, USA),
Chunhui Yang (Washington University in St. Louis, USA) and Danqing Shi (Tsinghua University, P.R. China)
for the paper entitled
"“Naughty AlphaGo”: Transforming the Game of Computer Go into an Emotional Tangible Playground"
Presented in the context of
HCI International 2019
16-31 July 2019, Orlando, FL, USA
Paper Abstract
"The game of Go is a traditional board game originated in ancient China and has long been viewed as the most challenging of board games for artificial intelligence. In 2016, AlphaGo defeated a human professional player in 19 × 19 game with deep neural networks. The ground-breaking advance in computer Go brought artificial intelligence into public view and raised discussions on how to interact with machines in the future. However, AlphaGo is still a highly intelligent computer program without emotion and personality. This paper presents a novel game design of “Naughty AlphaGo”, which is an emotional Go robot player based on AI algorithm. Result shows that the emotion expression approach based on behavioral and kinematic characteristics can support human players’ perception about the AI player’s emotional states through interaction. "
The full paper is available through SpringerLink, provided that you have proper access rights.