Improving Fairness in Adaptive Social Exergames via Shapley Bandits

Robert C Gray; Jennifer Villareale; Thomas Boyd Fox; Diane H Dallal; Santiago Ontañón; Danielle Arigo; Shahin Jabbari; Jichen Zhu

doi:10.1145/3581641.3584050

Improving Fairness in Adaptive Social Exergames via Shapley Bandits

Robert C Gray
, Jennifer Villareale
, Thomas Boyd Fox
, Diane H Dallal
, Santiago Ontañón
, Danielle Arigo
, Shahin Jabbari
, Jichen Zhu

Human-AI Interaction Lab

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Originalsprog	Engelsk
Titel	Proceedings of the 28th International Conference on Intelligent User Interfaces
Antal sider	15
Forlag	Association for Computing Machinery
Publikationsdato	2023
Sider	322-336
DOI	https://doi.org/10.1145/3581641.3584050
Status	Udgivet - 2023
Begivenhed	International Conference on Intelligent User Interfaces - Sydney, Australien Varighed: 27 mar. 2023 → 31 mar. 2023 Konferencens nummer: 28 https://dl.acm.org/doi/proceedings/10.1145/3581641

Konference

Konference	International Conference on Intelligent User Interfaces
Nummer	28
Land/Område	Australien
By	Sydney
Periode	27/03/2023 → 31/03/2023
Internetadresse	https://dl.acm.org/doi/proceedings/10.1145/3581641

Adgang til dokumentet

10.1145/3581641.3584050

3581641.3584050Forlagets udgivne version, 1,59 MB

1 Igangværende

ExPAI: Explainable Personalization AI for Health and Well-Being
Zhu, J. (PI), Malmborg, L. (CoI), Meyer, L. S. (CoI) & Maden, W. L. A. V. D. (CoI)
Novo Nordisk Foundation
01/01/2021 → 01/05/2027
Projekter: Projekt › Forskning

Citationsformater

@inproceedings{05b19451f59c4b24949a0c706abb7b8d,

title = "Improving Fairness in Adaptive Social Exergames via Shapley Bandits",

author = "Gray, \{Robert C\} and Jennifer Villareale and Fox, \{Thomas Boyd\} and Dallal, \{Diane H\} and Santiago Onta{\~n}{\'o}n and Danielle Arigo and Shahin Jabbari and Jichen Zhu",

year = "2023",

doi = "10.1145/3581641.3584050",

language = "English",

pages = "322--336",

booktitle = "Proceedings of the 28th International Conference on Intelligent User Interfaces",

publisher = "Association for Computing Machinery",

address = "United States",

note = "International Conference on Intelligent User Interfaces, IUI ; Conference date: 27-03-2023 Through 31-03-2023",

url = "https://dl.acm.org/doi/proceedings/10.1145/3581641",

}

Gray, RC, Villareale, J, Fox, TB, Dallal, DH, Ontañón, S, Arigo, D, Jabbari, S & Zhu, J 2023, Improving Fairness in Adaptive Social Exergames via Shapley Bandits. i Proceedings of the 28th International Conference on Intelligent User Interfaces. Association for Computing Machinery, s. 322-336, International Conference on Intelligent User Interfaces, Sydney, New South Wales, Australien, 27/03/2023. https://doi.org/10.1145/3581641.3584050

Improving Fairness in Adaptive Social Exergames via Shapley Bandits. / Gray, Robert C; Villareale, Jennifer; Fox, Thomas Boyd et al.
Proceedings of the 28th International Conference on Intelligent User Interfaces. Association for Computing Machinery, 2023. s. 322-336.

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - Improving Fairness in Adaptive Social Exergames via Shapley Bandits

AU - Gray, Robert C

AU - Villareale, Jennifer

AU - Fox, Thomas Boyd

AU - Dallal, Diane H

AU - Ontañón, Santiago

AU - Arigo, Danielle

AU - Jabbari, Shahin

AU - Zhu, Jichen

N1 - Conference code: 28

PY - 2023

Y1 - 2023

U2 - 10.1145/3581641.3584050

DO - 10.1145/3581641.3584050

M3 - Article in proceedings

SP - 322

EP - 336

BT - Proceedings of the 28th International Conference on Intelligent User Interfaces

PB - Association for Computing Machinery

T2 - International Conference on Intelligent User Interfaces

Y2 - 27 March 2023 through 31 March 2023

ER -

Improving Fairness in Adaptive Social Exergames via Shapley Bandits

Konference

Adgang til dokumentet

Projekter

ExPAI: Explainable Personalization AI for Health and Well-Being

Citationsformater