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Authors: Perry MacNeille ; Kacie Theisen and Oleg Gusikhin

Affiliation: Ford Motor Company Research and Advanced Engineering, United States

Keyword(s): Music perception, Music cognition, Utility music, Functional music, Driver behaviour.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Intelligent Transportation Technologies and Systems ; Robotics and Automation

Abstract: There is a belief that driving competency and style is influenced by music choices, yet there is little scientific study into the effects music choices have on the way people drive. This paper describes a preliminary explorative study conducted to find evidence of music influencing driving behaviour to justify further research into the area. Three main effects were considered in this study: 1) that music either enhances or impedes the driving activity; 2) that driving behaviour is influenced by whether the subject likes the music being played; 3) that driving behaviour is changed by the tempo of the music being played. The speed holding ability of 39 experienced drivers employed in a large company was tested using a vehicle simulator to observe evidence that speed holding control is influenced by one or more of the main effects.

CC BY-NC-ND 4.0

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Paper citation in several formats:
MacNeille, P.; Theisen, K. and Gusikhin, O. (2011). INTELLIGENT MUSIC SELECTION TO INFLUENCE DRIVER BEHAVIOUR - An Empirical Study. In Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-8425-75-1; ISSN 2184-2809, SciTePress, pages 83-90. DOI: 10.5220/0003687800830090

@conference{icinco11,
author={Perry MacNeille. and Kacie Theisen. and Oleg Gusikhin.},
title={INTELLIGENT MUSIC SELECTION TO INFLUENCE DRIVER BEHAVIOUR - An Empirical Study},
booktitle={Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2011},
pages={83-90},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003687800830090},
isbn={978-989-8425-75-1},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - INTELLIGENT MUSIC SELECTION TO INFLUENCE DRIVER BEHAVIOUR - An Empirical Study
SN - 978-989-8425-75-1
IS - 2184-2809
AU - MacNeille, P.
AU - Theisen, K.
AU - Gusikhin, O.
PY - 2011
SP - 83
EP - 90
DO - 10.5220/0003687800830090
PB - SciTePress