Evaluating market user interfaces for electric vehicle charging using Bid2Charge
Evaluating market user interfaces for electric vehicle charging using Bid2Charge
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%.
4939-4943
International Joint Conferences on Artificial Intelligence
Stein, Sebastian
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Gerding, Enrico
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Nedea, A
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Rosenfeld, Avi
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Jennings, Nicholas
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31 August 2017
Stein, Sebastian
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Gerding, Enrico
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Nedea, A
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Rosenfeld, Avi
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Jennings, Nicholas
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Stein, Sebastian, Gerding, Enrico, Nedea, A, Rosenfeld, Avi and Jennings, Nicholas
(2017)
Evaluating market user interfaces for electric vehicle charging using Bid2Charge.
Sierra, Carles
(ed.)
In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17): Best Sister Conferences.
International Joint Conferences on Artificial Intelligence.
.
(doi:10.24963/ijcai.2017/698).
Record type:
Conference or Workshop Item
(Paper)
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%.
Text
ijcai17
- Accepted Manuscript
More information
Accepted/In Press date: 28 April 2017
e-pub ahead of print date: 31 August 2017
Published date: 31 August 2017
Venue - Dates:
International Joint Conference on Artificial Intelligence (IJCAI): Sister Conference Best Paper Track, , Melbourne, Australia, 2017-08-19 - 2017-08-25
Identifiers
Local EPrints ID: 412920
URI: http://eprints.soton.ac.uk/id/eprint/412920
ISSN: 1045-0823
PURE UUID: e3124358-eda5-49b4-b68e-0c99e74ebdb4
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Date deposited: 08 Aug 2017 16:31
Last modified: 16 Mar 2024 06:42
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Contributors
Author:
Sebastian Stein
Author:
Enrico Gerding
Author:
A Nedea
Author:
Avi Rosenfeld
Author:
Nicholas Jennings
Editor:
Carles Sierra
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