Integrating trust in automation into driver state monitoring systems

Jaume Perello-March; Christopher Burns; Mark Elliott; Stewart Birrell

doi:10.1007/978-3-030-25629-6_53

Integrating trust in automation into driver state monitoring systems

Jaume Perello-March, Christopher Burns, Mark Elliott, Stewart Birrell

University of Warwick

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

7 Citations (Scopus)

60 Downloads (Pure)

Abstract

Inappropriate trust in highly automated vehicles (HAVs) has been identified as one of the causes in several accidents [1–3]. These accidents have evidenced the need to include a Driver State Monitoring System (DSMS) [4] into those HAVs which may require occasional manual driving. DSMS make use of several psychophysiological sensors to monitor the drivers’ state, and have already been included in current production vehicles to detect drowsiness, fatigue and distractions [5]. However, DSMS have never been used to monitor Trust in Automation (TiA) states within HAVs yet. Based on recent findings, this paper proposes a new methodology to integrate TiA state-classification into DSMSs for future vehicles.

Original language	English
Title of host publication	Human Interaction and Emerging Technologies - Proceedings of the 1st International Conference on Human Interaction and Emerging Technologies, IHIET 2019
Editors	Tareq Ahram, Redha Taiar, Serge Colson, Arnaud Choplin
Publisher	Springer-Verlag London Ltd
Pages	344-349
Number of pages	6
ISBN (Electronic)	978-3-030-25629-6
ISBN (Print)	978-3-030-25628-9
DOIs	https://doi.org/10.1007/978-3-030-25629-6_53
Publication status	E-pub ahead of print - 25 Jul 2019
Externally published	Yes
Event	1st International Conference on Human Interaction and Emerging Technologies - Nice, France Duration: 22 Aug 2019 → 24 Aug 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1018
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	1st International Conference on Human Interaction and Emerging Technologies
Abbreviated title	IHIET 2019
Country/Territory	France
City	Nice
Period	22/08/19 → 24/08/19

Bibliographical note

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-03025629-6_53

Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders

Keywords

Driver State Monitoring Systems
Highly automated vehicles
Machine learning
Trust in Automation

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-030-25629-6_53

Post-PrintAccepted author manuscript, 1.11 MB

Cite this

Perello-March, J., Burns, C., Elliott, M., & Birrell, S. (2019). Integrating trust in automation into driver state monitoring systems. In T. Ahram, R. Taiar, S. Colson, & A. Choplin (Eds.), Human Interaction and Emerging Technologies - Proceedings of the 1st International Conference on Human Interaction and Emerging Technologies, IHIET 2019 (pp. 344-349). (Advances in Intelligent Systems and Computing; Vol. 1018). Springer-Verlag London Ltd. Advance online publication. https://doi.org/10.1007/978-3-030-25629-6_53

Integrating trust in automation into driver state monitoring systems. / Perello-March, Jaume; Burns, Christopher; Elliott, Mark et al.
Human Interaction and Emerging Technologies - Proceedings of the 1st International Conference on Human Interaction and Emerging Technologies, IHIET 2019. ed. / Tareq Ahram; Redha Taiar; Serge Colson; Arnaud Choplin. Springer-Verlag London Ltd, 2019. p. 344-349 (Advances in Intelligent Systems and Computing; Vol. 1018).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Perello-March, J, Burns, C, Elliott, M & Birrell, S 2019, Integrating trust in automation into driver state monitoring systems. in T Ahram, R Taiar, S Colson & A Choplin (eds), Human Interaction and Emerging Technologies - Proceedings of the 1st International Conference on Human Interaction and Emerging Technologies, IHIET 2019. Advances in Intelligent Systems and Computing, vol. 1018, Springer-Verlag London Ltd, pp. 344-349, 1st International Conference on Human Interaction and Emerging Technologies, Nice, France, 22/08/19. https://doi.org/10.1007/978-3-030-25629-6_53

Perello-March J, Burns C, Elliott M, Birrell S. Integrating trust in automation into driver state monitoring systems. In Ahram T, Taiar R, Colson S, Choplin A, editors, Human Interaction and Emerging Technologies - Proceedings of the 1st International Conference on Human Interaction and Emerging Technologies, IHIET 2019. Springer-Verlag London Ltd. 2019. p. 344-349. (Advances in Intelligent Systems and Computing). Epub 2019 Jul 25. doi: 10.1007/978-3-030-25629-6_53

Perello-March, Jaume ; Burns, Christopher ; Elliott, Mark et al. / Integrating trust in automation into driver state monitoring systems. Human Interaction and Emerging Technologies - Proceedings of the 1st International Conference on Human Interaction and Emerging Technologies, IHIET 2019. editor / Tareq Ahram ; Redha Taiar ; Serge Colson ; Arnaud Choplin. Springer-Verlag London Ltd, 2019. pp. 344-349 (Advances in Intelligent Systems and Computing).

@inproceedings{b905fef8f030495194457214c283cfe3,

title = "Integrating trust in automation into driver state monitoring systems",

abstract = "Inappropriate trust in highly automated vehicles (HAVs) has been identified as one of the causes in several accidents [1–3]. These accidents have evidenced the need to include a Driver State Monitoring System (DSMS) [4] into those HAVs which may require occasional manual driving. DSMS make use of several psychophysiological sensors to monitor the drivers{\textquoteright} state, and have already been included in current production vehicles to detect drowsiness, fatigue and distractions [5]. However, DSMS have never been used to monitor Trust in Automation (TiA) states within HAVs yet. Based on recent findings, this paper proposes a new methodology to integrate TiA state-classification into DSMSs for future vehicles.",

keywords = "Driver State Monitoring Systems, Highly automated vehicles, Machine learning, Trust in Automation",

author = "Jaume Perello-March and Christopher Burns and Mark Elliott and Stewart Birrell",

note = "The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-03025629-6_53 Copyright {\textcopyright} and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders; 1st International Conference on Human Interaction and Emerging Technologies, IHIET 2019 ; Conference date: 22-08-2019 Through 24-08-2019",

year = "2019",

month = jul,

day = "25",

doi = "10.1007/978-3-030-25629-6_53",

language = "English",

isbn = "978-3-030-25628-9",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer-Verlag London Ltd",

pages = "344--349",

editor = "Tareq Ahram and Redha Taiar and Serge Colson and Arnaud Choplin",

booktitle = "Human Interaction and Emerging Technologies - Proceedings of the 1st International Conference on Human Interaction and Emerging Technologies, IHIET 2019",

address = "United Kingdom",

}

TY - GEN

T1 - Integrating trust in automation into driver state monitoring systems

AU - Perello-March, Jaume

AU - Burns, Christopher

AU - Elliott, Mark

AU - Birrell, Stewart

N1 - The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-03025629-6_53 Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders

PY - 2019/7/25

Y1 - 2019/7/25

N2 - Inappropriate trust in highly automated vehicles (HAVs) has been identified as one of the causes in several accidents [1–3]. These accidents have evidenced the need to include a Driver State Monitoring System (DSMS) [4] into those HAVs which may require occasional manual driving. DSMS make use of several psychophysiological sensors to monitor the drivers’ state, and have already been included in current production vehicles to detect drowsiness, fatigue and distractions [5]. However, DSMS have never been used to monitor Trust in Automation (TiA) states within HAVs yet. Based on recent findings, this paper proposes a new methodology to integrate TiA state-classification into DSMSs for future vehicles.

AB - Inappropriate trust in highly automated vehicles (HAVs) has been identified as one of the causes in several accidents [1–3]. These accidents have evidenced the need to include a Driver State Monitoring System (DSMS) [4] into those HAVs which may require occasional manual driving. DSMS make use of several psychophysiological sensors to monitor the drivers’ state, and have already been included in current production vehicles to detect drowsiness, fatigue and distractions [5]. However, DSMS have never been used to monitor Trust in Automation (TiA) states within HAVs yet. Based on recent findings, this paper proposes a new methodology to integrate TiA state-classification into DSMSs for future vehicles.

KW - Driver State Monitoring Systems

KW - Highly automated vehicles

KW - Machine learning

KW - Trust in Automation

UR - http://www.scopus.com/inward/record.url?scp=85070009152&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-25629-6_53

DO - 10.1007/978-3-030-25629-6_53

M3 - Conference proceeding

AN - SCOPUS:85070009152

SN - 978-3-030-25628-9

T3 - Advances in Intelligent Systems and Computing

SP - 344

EP - 349

BT - Human Interaction and Emerging Technologies - Proceedings of the 1st International Conference on Human Interaction and Emerging Technologies, IHIET 2019

A2 - Ahram, Tareq

A2 - Taiar, Redha

A2 - Colson, Serge

A2 - Choplin, Arnaud

PB - Springer-Verlag London Ltd

T2 - 1st International Conference on Human Interaction and Emerging Technologies

Y2 - 22 August 2019 through 24 August 2019

ER -

Integrating trust in automation into driver state monitoring systems

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this