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%.
| Original language | English |
|---|---|
| Title of host publication | 26th International Joint Conference on Artificial Intelligence, IJCAI 2017 |
| Editors | Carles Sierra |
| Publisher | International Joint Conferences on Artificial Intelligence |
| Pages | 4939-4943 |
| Number of pages | 5 |
| ISBN (Electronic) | 9780999241103 |
| DOIs | |
| State | Published - 2017 |
| Externally published | Yes |
| Event | 26th International Joint Conference on Artificial Intelligence, IJCAI 2017 - Melbourne, Australia Duration: 19 Aug 2017 → 25 Aug 2017 |
Publication series
| Name | IJCAI International Joint Conference on Artificial Intelligence |
|---|---|
| Volume | 0 |
| ISSN (Print) | 1045-0823 |
Conference
| Conference | 26th International Joint Conference on Artificial Intelligence, IJCAI 2017 |
|---|---|
| Country/Territory | Australia |
| City | Melbourne |
| Period | 19/08/17 → 25/08/17 |
Bibliographical note
Funding Information:This work was supported by the EPSRC-funded ORCHID project (grant EP/I011587/1) and the Southampton Annual Adventures in Research grant.