Three driver and operator behaviour models in the context of automated driving: Identification of issues from human actor perspective

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

The study aimed to systematically define human issues related to automated driving. Three theoretical approaches were applied into two automation scenarios, low and high, in urban and motorway driving. The analysis encompasses five use cases in both environments, and several contextual circumstances. The list of approximately 13 human issues was provided. All theoretical approaches showed to be useful in defining the issues, and the views complemented each other. The core task analysis, not previously showed to be promising model for analyzing automated driving, and should be further developed. The other approaches applied were the traditional driver behavior theories called as motivational theories and the model for human actor operator as information processor.

Original languageEnglish
Title of host publicationAdvances in Human Aspects of Transportation
Subtitle of host publicationProceedings of the AHFE 2017 International Conference on Human Factors in Transportation, 2017
PublisherSpringer
Pages1059-1071
Number of pages13
ISBN (Electronic)978-3-319-60441-1
ISBN (Print)978-3-319-60440-4
DOIs
Publication statusPublished - 1 Jan 2018
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Applied Human Factors and Ergonomics: International Conference on Human Factors, Software, and Systems Engineering - Los Angeles, United States
Duration: 17 Jul 201721 Jul 2017
Conference number: 8

Publication series

SeriesAdvances in Intelligent Systems and Computing
Volume597
ISSN2194-5357

Conference

ConferenceInternational Conference on Applied Human Factors and Ergonomics
Abbreviated titleAHFE 2017
CountryUnited States
CityLos Angeles
Period17/07/1721/07/17

Fingerprint

Identification (control systems)
Core analysis
Automation

Keywords

  • Automated driving
  • Driver behavior
  • Theoretical models of human behavior

Cite this

Rämä, P., & Koskinen, H. (2018). Three driver and operator behaviour models in the context of automated driving: Identification of issues from human actor perspective. In Advances in Human Aspects of Transportation: Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation, 2017 (pp. 1059-1071). Springer. Advances in Intelligent Systems and Computing, Vol.. 597 https://doi.org/10.1007/978-3-319-60441-1_100
Rämä, Pirkko ; Koskinen, Hanna. / Three driver and operator behaviour models in the context of automated driving : Identification of issues from human actor perspective. Advances in Human Aspects of Transportation: Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation, 2017. Springer, 2018. pp. 1059-1071 (Advances in Intelligent Systems and Computing, Vol. 597).
@inproceedings{8c8c9d94114048f3ad3be1a320b5ba21,
title = "Three driver and operator behaviour models in the context of automated driving: Identification of issues from human actor perspective",
abstract = "The study aimed to systematically define human issues related to automated driving. Three theoretical approaches were applied into two automation scenarios, low and high, in urban and motorway driving. The analysis encompasses five use cases in both environments, and several contextual circumstances. The list of approximately 13 human issues was provided. All theoretical approaches showed to be useful in defining the issues, and the views complemented each other. The core task analysis, not previously showed to be promising model for analyzing automated driving, and should be further developed. The other approaches applied were the traditional driver behavior theories called as motivational theories and the model for human actor operator as information processor.",
keywords = "Automated driving, Driver behavior, Theoretical models of human behavior",
author = "Pirkko R{\"a}m{\"a} and Hanna Koskinen",
note = "Affiliate conference: Conference on Human Aspects of Transportation",
year = "2018",
month = "1",
day = "1",
doi = "10.1007/978-3-319-60441-1_100",
language = "English",
isbn = "978-3-319-60440-4",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "1059--1071",
booktitle = "Advances in Human Aspects of Transportation",
address = "Germany",

}

Rämä, P & Koskinen, H 2018, Three driver and operator behaviour models in the context of automated driving: Identification of issues from human actor perspective. in Advances in Human Aspects of Transportation: Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation, 2017. Springer, Advances in Intelligent Systems and Computing, vol. 597, pp. 1059-1071, International Conference on Applied Human Factors and Ergonomics, Los Angeles, United States, 17/07/17. https://doi.org/10.1007/978-3-319-60441-1_100

Three driver and operator behaviour models in the context of automated driving : Identification of issues from human actor perspective. / Rämä, Pirkko; Koskinen, Hanna.

Advances in Human Aspects of Transportation: Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation, 2017. Springer, 2018. p. 1059-1071 (Advances in Intelligent Systems and Computing, Vol. 597).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Three driver and operator behaviour models in the context of automated driving

T2 - Identification of issues from human actor perspective

AU - Rämä, Pirkko

AU - Koskinen, Hanna

N1 - Affiliate conference: Conference on Human Aspects of Transportation

PY - 2018/1/1

Y1 - 2018/1/1

N2 - The study aimed to systematically define human issues related to automated driving. Three theoretical approaches were applied into two automation scenarios, low and high, in urban and motorway driving. The analysis encompasses five use cases in both environments, and several contextual circumstances. The list of approximately 13 human issues was provided. All theoretical approaches showed to be useful in defining the issues, and the views complemented each other. The core task analysis, not previously showed to be promising model for analyzing automated driving, and should be further developed. The other approaches applied were the traditional driver behavior theories called as motivational theories and the model for human actor operator as information processor.

AB - The study aimed to systematically define human issues related to automated driving. Three theoretical approaches were applied into two automation scenarios, low and high, in urban and motorway driving. The analysis encompasses five use cases in both environments, and several contextual circumstances. The list of approximately 13 human issues was provided. All theoretical approaches showed to be useful in defining the issues, and the views complemented each other. The core task analysis, not previously showed to be promising model for analyzing automated driving, and should be further developed. The other approaches applied were the traditional driver behavior theories called as motivational theories and the model for human actor operator as information processor.

KW - Automated driving

KW - Driver behavior

KW - Theoretical models of human behavior

UR - http://www.scopus.com/inward/record.url?scp=85022339664&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-60441-1_100

DO - 10.1007/978-3-319-60441-1_100

M3 - Conference article in proceedings

AN - SCOPUS:85022339664

SN - 978-3-319-60440-4

T3 - Advances in Intelligent Systems and Computing

SP - 1059

EP - 1071

BT - Advances in Human Aspects of Transportation

PB - Springer

ER -

Rämä P, Koskinen H. Three driver and operator behaviour models in the context of automated driving: Identification of issues from human actor perspective. In Advances in Human Aspects of Transportation: Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation, 2017. Springer. 2018. p. 1059-1071. (Advances in Intelligent Systems and Computing, Vol. 597). https://doi.org/10.1007/978-3-319-60441-1_100