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Evaluating market user interfaces for electric vehicle charging using Bid2Charge

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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Sierra, Carles
Stein, Sebastian
cb2325e7-5e63-475e-8a69-9db2dfbdb00b
Gerding, Enrico
d9e92ee5-1a8c-4467-a689-8363e7743362
Nedea, A
f636a77e-28ab-4733-99c4-43d09c6ef950
Rosenfeld, Avi
4a81409b-7d71-4a4a-bc86-9869a0305b01
Jennings, Nicholas
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Sierra, Carles

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. 5 pp, pp. 4939-4943. (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%.

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ijcai17 - Accepted Manuscript
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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: https://eprints.soton.ac.uk/id/eprint/412920
PURE UUID: e3124358-eda5-49b4-b68e-0c99e74ebdb4

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Date deposited: 08 Aug 2017 16:31
Last modified: 19 Oct 2018 04:01

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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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