TY - GEN
T1 - Do Game Bots Dream of Electric Rewards?
T2 - 15th International Conference on the Foundations of Digital Games, FDG 2020
AU - Sweetser, Penny
AU - Aitchison, Matthew
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/9/15
Y1 - 2020/9/15
N2 - The purpose of this paper is to draw together theories, ideas, and observations related to rewards, motivation, and play to develop and question our understanding and practice of designing reward-based systems and technology. Our exploration includes reinforcement, rewards, motivational theory, flow, play, games, gamification, and machine learning. We examine the design and psychology of reward-based systems in society and technology, using gamification and machine learning as case studies. We propose that the problems that exist with reward-based systems in our society are also present and pertinent when designing technology. We suggest that motivation, exploration, and play are not just fundamental to human learning and behaviour, but that they could transcend nature into machine learning. Finally, we question the value and potential harm of the reward-based systems that permeate every aspect of our lives and assert the importance of ethics in the design of all systems and technology.
AB - The purpose of this paper is to draw together theories, ideas, and observations related to rewards, motivation, and play to develop and question our understanding and practice of designing reward-based systems and technology. Our exploration includes reinforcement, rewards, motivational theory, flow, play, games, gamification, and machine learning. We examine the design and psychology of reward-based systems in society and technology, using gamification and machine learning as case studies. We propose that the problems that exist with reward-based systems in our society are also present and pertinent when designing technology. We suggest that motivation, exploration, and play are not just fundamental to human learning and behaviour, but that they could transcend nature into machine learning. Finally, we question the value and potential harm of the reward-based systems that permeate every aspect of our lives and assert the importance of ethics in the design of all systems and technology.
KW - flow
KW - games
KW - gamification
KW - intrinsic motivation
KW - learning
KW - machine learning
KW - play
KW - reinforcement learning
KW - reward-based systems
KW - rewards
KW - self-determination theory
UR - http://www.scopus.com/inward/record.url?scp=85092307187&partnerID=8YFLogxK
U2 - 10.1145/3402942.3402965
DO - 10.1145/3402942.3402965
M3 - Conference contribution
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 15th International Conference on the Foundations of Digital Games, FDG 2020
A2 - Yannakakis, Georgios N.
A2 - Liapis, Antonios
A2 - Penny, Kyburz
A2 - Volz, Vanessa
A2 - Khosmood, Foaad
A2 - Lopes, Phil
PB - Association for Computing Machinery
Y2 - 15 September 2020 through 18 September 2020
ER -