research-article

Adaptive Driving Agent: From Driving a Machine to Riding with a Friend

Authors:

Claudia V. Goldman,

Albert Harounian,

Sarit KrausAuthors Info & Claims

HAI '20: Proceedings of the 8th International Conference on Human-Agent Interaction

Pages 179 - 186

https://doi.org/10.1145/3406499.3415067

Published: 10 November 2020 Publication History

Abstract

The successful integration of automation in systems that affect human experiences requires the user acceptance of those automated functionalities. For example, the human comfort felt during a ride is affected by the automated control behavior of the vehicle. The challenge presented in this paper is how to develop an intelligent agent that learns its users? driving preferences and adjusts the vehicle control in real time, accordingly, minimizing the number of otherwise required manual interventions. This is a hard problem since users? preferences can be complex, context dependent and do not necessarily translate to the language of machines in a simple and straightforward manner. Our solution includes (1) a simulation test bed, (2) an adaptive intelligent interface and (3) an adaptive agent that learns to predict user's driving discomfort and it also learns to compute corrective actions that maximize user acceptance of automated driving. Overall, we conducted three user studies with 94 subjects in simulated driving scenarios. Our results show that our intelligent agent learned to successfully predict how to adjust the automated driving style to increase user? acceptance by decreasing the number of user manual interventions.

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Cited By

Hauptman AFlathmann CMcNeese N(2024)Adapting to the human: A systematic review of a decade of human factors research on adaptive autonomyApplied Ergonomics10.1016/j.apergo.2024.104336120(104336)Online publication date: Oct-2024
https://doi.org/10.1016/j.apergo.2024.104336
Goldman CBaltaxe M(2021)Why are you predicting this class?2021 IEEE Intelligent Vehicles Symposium (IV)10.1109/IV48863.2021.9575184(415-420)Online publication date: 11-Jul-2021
https://doi.org/10.1109/IV48863.2021.9575184

Index Terms

Adaptive Driving Agent: From Driving a Machine to Riding with a Friend

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Published In

cover image ACM Conferences

HAI '20: Proceedings of the 8th International Conference on Human-Agent Interaction

November 2020

304 pages

ISBN:9781450380546

DOI:10.1145/3406499

General Chairs:
Mohammad Obaid
Chalmers University of Technology, Sweden
,
Omar Mubin
Western Sydney University, Australia
,
Yukie Nagai
The University of Tokyo, Japan
,
Program Chairs:
Hirotaka Osawa
University of Tsukuba, Japan
,
Yomna Abdelrahman
Bundeswehr University Munich, Germany
,
Morten Fjeld
Chalmers University of Technology, Sweden

Copyright © 2020 ACM.

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New York, NY, United States

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Published: 10 November 2020

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HAI '20

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HAI '20: 8th International Conference on Human-Agent Interaction

November 10 - 13, 2020

Virtual Event, USA

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Cited By

Hauptman AFlathmann CMcNeese N(2024)Adapting to the human: A systematic review of a decade of human factors research on adaptive autonomyApplied Ergonomics10.1016/j.apergo.2024.104336120(104336)Online publication date: Oct-2024
https://doi.org/10.1016/j.apergo.2024.104336
Goldman CBaltaxe M(2021)Why are you predicting this class?2021 IEEE Intelligent Vehicles Symposium (IV)10.1109/IV48863.2021.9575184(415-420)Online publication date: 11-Jul-2021
https://doi.org/10.1109/IV48863.2021.9575184

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