A deep learning and gamification approach to improving human-building interaction and energy efficiency in smart infrastructure

•Discrete Choice Models model occupant actions through machine learning algorithms.•Deep Learning shows outstanding potential for sequential decision making.•Artificial Intelligence can generate high dimensional dynamic occupancy usage data.•Gamification in human-centric cyber-physical systems promotes energy efficiency.•Participation in social game communicates usage data and facilitates forecasting.