Embodied Cognitive Architecture to Support Driver Performance

Andreia Artifice; Bako Rajaonah; João Sarraipa; Abed Mourad; Ricardo Jardim-Gonçalves

doi:10.1109/IS.2018.8710474

Embodied Cognitive Architecture to Support Driver Performance

Andreia Artifice, Bako Rajaonah, João Sarraipa, Abed Mourad, Ricardo Jardim-Gonçalves

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

1 Citation (Scopus)

Abstract

Fully autonomous cars are expected to appear on roads in the near future. Nowadays, the driving task is already supported by automation, which has begun to change the task, especially in terms of attentional processes: the more the car is automated, the more the monitoring sub-task is diversified. Thus, the increasing part of attention involved in monitoring should be considered in the design of fully automated cars. This paper proposes an embodied cognitive architecture, that senses driver attentional states in order to design intelligent interfaces supporting the driving performance. That new module entitled »Driver Cognitive Model of Attention», globally inserted in the autonomous driving car architecture implies to equip the vehicle with sensors that allows to infer driver cognitive states, specifically attention.

Original language	English
Title of host publication	9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings
Editors	João Martins, Vladimir Jotsov, Robert Bierwolf, João Pedro Mendonça, Ricardo Jardim-Gonçalves, Maria Marques
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	877-885
Number of pages	9
ISBN (Electronic)	9781538670972
DOIs	https://doi.org/10.1109/IS.2018.8710474
Publication status	Published - 2 Jul 2018
Event	9th International Conference on Intelligent Systems, IS 2018 - Funchal - Madeira, Portugal Duration: 25 Sept 2018 → 27 Sept 2018

Conference

Conference	9th International Conference on Intelligent Systems, IS 2018
Country/Territory	Portugal
City	Funchal - Madeira
Period	25/09/18 → 27/09/18

Keywords

Attention
Autonomous car architecture
Driving task
Embodied cognition

Access to Document

10.1109/IS.2018.8710474

Cite this

Artifice, A., Rajaonah, B., Sarraipa, J., Mourad, A., & Jardim-Gonçalves, R. (2018). Embodied Cognitive Architecture to Support Driver Performance. In J. Martins, V. Jotsov, R. Bierwolf, J. P. Mendonça, R. Jardim-Gonçalves, & M. Marques (Eds.), 9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings (pp. 877-885). Article 8710474 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IS.2018.8710474

Artifice, Andreia ; Rajaonah, Bako ; Sarraipa, João et al. / Embodied Cognitive Architecture to Support Driver Performance. 9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings. editor / João Martins ; Vladimir Jotsov ; Robert Bierwolf ; João Pedro Mendonça ; Ricardo Jardim-Gonçalves ; Maria Marques. Institute of Electrical and Electronics Engineers (IEEE), 2018. pp. 877-885

@inproceedings{2ea86a1af2db4ce3919eb0e82575112a,

title = "Embodied Cognitive Architecture to Support Driver Performance",

abstract = "Fully autonomous cars are expected to appear on roads in the near future. Nowadays, the driving task is already supported by automation, which has begun to change the task, especially in terms of attentional processes: the more the car is automated, the more the monitoring sub-task is diversified. Thus, the increasing part of attention involved in monitoring should be considered in the design of fully automated cars. This paper proposes an embodied cognitive architecture, that senses driver attentional states in order to design intelligent interfaces supporting the driving performance. That new module entitled »Driver Cognitive Model of Attention», globally inserted in the autonomous driving car architecture implies to equip the vehicle with sensors that allows to infer driver cognitive states, specifically attention.",

keywords = "Attention, Autonomous car architecture, Driving task, Embodied cognition",

author = "Andreia Artifice and Bako Rajaonah and Jo{\~a}o Sarraipa and Abed Mourad and Ricardo Jardim-Gon{\c c}alves",

note = "The authors acknowledge the partners of the SIGMA_RAIL project co-funded by the Erasmus+ Program of the European Commission (Project Number 561986-EPP-2015-FR-EPPK2-CBHE-SP).; 9th International Conference on Intelligent Systems, IS 2018 ; Conference date: 25-09-2018 Through 27-09-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/IS.2018.8710474",

language = "English",

pages = "877--885",

editor = "Jo{\~a}o Martins and Vladimir Jotsov and Robert Bierwolf and Mendon{\c c}a, {Jo{\~a}o Pedro} and Ricardo Jardim-Gon{\c c}alves and Maria Marques",

booktitle = "9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

}

Artifice, A, Rajaonah, B, Sarraipa, J, Mourad, A & Jardim-Gonçalves, R 2018, Embodied Cognitive Architecture to Support Driver Performance. in J Martins, V Jotsov, R Bierwolf, JP Mendonça, R Jardim-Gonçalves & M Marques (eds), 9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings., 8710474, Institute of Electrical and Electronics Engineers (IEEE), pp. 877-885, 9th International Conference on Intelligent Systems, IS 2018, Funchal - Madeira, Portugal, 25/09/18. https://doi.org/10.1109/IS.2018.8710474

Embodied Cognitive Architecture to Support Driver Performance. / Artifice, Andreia; Rajaonah, Bako; Sarraipa, João et al.
9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings. ed. / João Martins; Vladimir Jotsov; Robert Bierwolf; João Pedro Mendonça; Ricardo Jardim-Gonçalves; Maria Marques. Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 877-885 8710474.

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

TY - GEN

T1 - Embodied Cognitive Architecture to Support Driver Performance

AU - Artifice, Andreia

AU - Rajaonah, Bako

AU - Sarraipa, João

AU - Mourad, Abed

AU - Jardim-Gonçalves, Ricardo

N1 - The authors acknowledge the partners of the SIGMA_RAIL project co-funded by the Erasmus+ Program of the European Commission (Project Number 561986-EPP-2015-FR-EPPK2-CBHE-SP).

PY - 2018/7/2

Y1 - 2018/7/2

N2 - Fully autonomous cars are expected to appear on roads in the near future. Nowadays, the driving task is already supported by automation, which has begun to change the task, especially in terms of attentional processes: the more the car is automated, the more the monitoring sub-task is diversified. Thus, the increasing part of attention involved in monitoring should be considered in the design of fully automated cars. This paper proposes an embodied cognitive architecture, that senses driver attentional states in order to design intelligent interfaces supporting the driving performance. That new module entitled »Driver Cognitive Model of Attention», globally inserted in the autonomous driving car architecture implies to equip the vehicle with sensors that allows to infer driver cognitive states, specifically attention.

AB - Fully autonomous cars are expected to appear on roads in the near future. Nowadays, the driving task is already supported by automation, which has begun to change the task, especially in terms of attentional processes: the more the car is automated, the more the monitoring sub-task is diversified. Thus, the increasing part of attention involved in monitoring should be considered in the design of fully automated cars. This paper proposes an embodied cognitive architecture, that senses driver attentional states in order to design intelligent interfaces supporting the driving performance. That new module entitled »Driver Cognitive Model of Attention», globally inserted in the autonomous driving car architecture implies to equip the vehicle with sensors that allows to infer driver cognitive states, specifically attention.

KW - Attention

KW - Autonomous car architecture

KW - Driving task

KW - Embodied cognition

UR - http://www.scopus.com/inward/record.url?scp=85065992165&partnerID=8YFLogxK

U2 - 10.1109/IS.2018.8710474

DO - 10.1109/IS.2018.8710474

M3 - Conference contribution

AN - SCOPUS:85065992165

SP - 877

EP - 885

BT - 9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings

A2 - Martins, João

A2 - Jotsov, Vladimir

A2 - Bierwolf, Robert

A2 - Mendonça, João Pedro

A2 - Jardim-Gonçalves, Ricardo

A2 - Marques, Maria

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 9th International Conference on Intelligent Systems, IS 2018

Y2 - 25 September 2018 through 27 September 2018

ER -

Artifice A, Rajaonah B, Sarraipa J, Mourad A, Jardim-Gonçalves R. Embodied Cognitive Architecture to Support Driver Performance. In Martins J, Jotsov V, Bierwolf R, Mendonça JP, Jardim-Gonçalves R, Marques M, editors, 9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings. Institute of Electrical and Electronics Engineers (IEEE). 2018. p. 877-885. 8710474 doi: 10.1109/IS.2018.8710474

Embodied Cognitive Architecture to Support Driver Performance

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this