{"type":"ScholarlyArticle","title":"Evaluating Market User Interfaces for Electric Vehicle Charging using Bid2Charge","authors":[{"name":"Sebastian Stein","slug":"sebastian-stein","given":"Sebastian","family":"Stein","affiliation":"University of Southampton , Southampton , United Kingdom"},{"name":"Enrico H. Gerding","slug":"enrico-h-gerding","given":"Enrico H.","family":"Gerding","affiliation":"University of Southampton , Southampton , United Kingdom"},{"name":"Adrian Nedea","slug":"adrian-nedea","given":"Adrian","family":"Nedea","affiliation":"University of Southampton , Southampton , United Kingdom"},{"name":"Avi Rosenfeld","slug":"avi-rosenfeld","given":"Avi","family":"Rosenfeld","affiliation":"Jerusalem College of Technology , Jerusalem , Israel"},{"name":"Nicholas R. Jennings","slug":"nicholas-r-jennings","given":"Nicholas R.","family":"Jennings","affiliation":"• Imperial College , London , United Kingdom"}],"abstract":"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%.","doi":"10.24963/ijcai.2017/698","url":"https://ijcai.org/proceedings/2017/698","pdf":"https://ijcai.org/proceedings/2017/0698.pdf","markdown":"https://ijcai.org/proceedings/2017/698.md","bibtex":"https://ijcai.org/proceedings/2017/bibtex/698","volume":{"slug":"2017","title":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2017","url":"https://ijcai.org/proceedings/2017/","year":2017,"location":"Melbourne, Australia","dates":"19-25 August 2017","editors":"Carles Sierra","isbn":"978-0-9992411-0-3","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2017"},"section":"Best Sister Conferences","track":"Best Sister Conferences","number":698,"pages":{"first":4939,"last":4943},"keywords":["Artificial Intelligence: multi-agent systems","Artificial Intelligence: artificial intelligence"],"videos":[],"references":[{"position":1,"raw":"[Bergemann et al., 2012] Dirk Bergemann, Ji Shen, Yun Xu, and Edmund Yeh. 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