The Effects of the Use of Serious Game in Eco-Driving Training

Abstract

Serious games present a promising approach to training and learning. The player is engaged in a virtual environment for a purpose beyond pure entertainment, all while having fun. In this paper, we investigate the effects of the use of serious game in eco-driving training. An approach has been developed in order to improve players' practical skills in terms of eco-driving. This approach is based on the development of a driving simulation based on a serious game, integrating a multisensorial guidance system with metaphors including visual messages (information on fuel consumption, ideal speed area, gearbox management, etc.) and sounds (spatialized sounds, voice messages, etc.). The results demonstrate that the serious game influences positively the behavior of inexperienced drivers in ecological driving, leading to a significant reduction (up to 10%) of their CO2 emission. This work brings also some guidelines for the design process. The experiences lead to a determination of the best eco-driving rules allowing a significant reduction of CO2 emission.

Implementing Deep Reinforcement Learning (DRL)-based Driving Styles for Non-Player Vehicles

“…User tests revealed that the game can combine enjoyment with learning basic driving elements. Hrimech et al [21] investigate the effects of the use of SG in eco-driving training. Results demonstrate that the serious game influences positively the behavior of inexperienced drivers in ecological driving.…”