Evaluating Market User Interfaces for Electric Vehicle Charging using Bid2Charge

Evaluating Market User Interfaces for Electric Vehicle Charging using Bid2Charge

Sebastian Stein, Enrico H. Gerding, Adrian Nedea, Avi Rosenfeld, Nicholas R. Jennings

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence
Best Sister Conferences. Pages 4939-4943. https://doi.org/10.24963/ijcai.2017/698

We consider settings where electric vehicle drivers participate in a market mechanism to charge their vehicles. Existing work typically assumes that participants are fully rational and can report their charging preferences accurately. However, this may not be reasonable in settings with non-experts. To explore this, we design a novel game called Bid2Charge and compare a fully expressive interface that covers the entire space of preferences to two restricted interfaces that offer fewer possible reports. We show that restricting the users' preferences significantly reduces deliberation times while also leading to an increase in utility by up to 70%.
Keywords:
Artificial Intelligence: multi-agent systems
Artificial Intelligence: artificial intelligence