Identifying Sources of Discomfort in Various Road Events while Riding Automated Vehicles

Cohen Lazry Guy; Telpaz Ariel; Degani Asaf; Oron Gilad Tal

doi:https://doi.org/10.1109/ICHMS49158.2020.9209461

Identifying Sources of Discomfort in Various Road Events while Riding Automated Vehicles

Cohen Lazry Guy, Telpaz Ariel, Degani Asaf, Oron Gilad Tal

Department of Industrial Engineering and Management

Ben-Gurion University of the Negev

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

Abstract

The present study aimed at exploring the factors that induce discomfort when riding automated vehicles in various driving events. Using a Wizard-of-Oz design, participants were driven in what appeared to be a fully automated (level 5) vehicle. An analysis of participants' reactions and verbal utterances revealed six specific sources of discomfort (Vehicle's speed, Crossing Traffic, Pedestrians, Road Geometry, Road Markings and On-coming Traffic). These discomfort reactions were then cross-referenced to the road events they were associated with. The results suggest that there is a different set of discomfort sources associated with each unique road event. Overall, we identified seven distinct categories of road events that could cover the entire experimental route (Crosswalks, Roundabouts, Straight Intersections, Left-Turns with On-coming Traffic, Left-Turns without On-coming Traffic, Right turns with Right-of-way and Right turns without Right-of-way). From a design perspective, these findings can empower the development of interventions to reduce discomfort in automated vehicles.

Original language	American English
Title of host publication	Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, ICHMS 2020
Editors	Giancarlo Fortino, Fei-Yue Wang, Andreas Nurnberger, David Kaber, Rino Falcone, David Mendonca, Zhiwen Yu, Antonio Guerrieri
ISBN (Electronic)	9781728158716
DOIs	https://doi.org/10.1109/ICHMS49158.2020.9209461
State	Published - 1 Sep 2020
Event	1st IEEE International Conference on Human-Machine Systems, ICHMS 2020 - Virtual, Rome, Italy Duration: 7 Sep 2020 → 9 Sep 2020

Publication series

Name	Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, ICHMS 2020

Conference

Conference	1st IEEE International Conference on Human-Machine Systems, ICHMS 2020
Country/Territory	Italy
City	Virtual, Rome
Period	7/09/20 → 9/09/20

Keywords

Autonomous Vehicles
Discomfort
Wizard-of-Oz

All Science Journal Classification (ASJC) codes

Human-Computer Interaction

Access to Document

https://doi.org/10.1109/ICHMS49158.2020.9209461

Cite this

Guy, C. L., Ariel, T., Asaf, D., & Tal, O. G. (2020). Identifying Sources of Discomfort in Various Road Events while Riding Automated Vehicles. In G. Fortino, F-Y. Wang, A. Nurnberger, D. Kaber, R. Falcone, D. Mendonca, Z. Yu, & A. Guerrieri (Eds.), Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, ICHMS 2020 Article 9209461 (Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, ICHMS 2020). https://doi.org/10.1109/ICHMS49158.2020.9209461

Guy, Cohen Lazry ; Ariel, Telpaz ; Asaf, Degani et al. / Identifying Sources of Discomfort in Various Road Events while Riding Automated Vehicles. Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, ICHMS 2020. editor / Giancarlo Fortino ; Fei-Yue Wang ; Andreas Nurnberger ; David Kaber ; Rino Falcone ; David Mendonca ; Zhiwen Yu ; Antonio Guerrieri. 2020. (Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, ICHMS 2020).

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title = "Identifying Sources of Discomfort in Various Road Events while Riding Automated Vehicles",

abstract = "The present study aimed at exploring the factors that induce discomfort when riding automated vehicles in various driving events. Using a Wizard-of-Oz design, participants were driven in what appeared to be a fully automated (level 5) vehicle. An analysis of participants' reactions and verbal utterances revealed six specific sources of discomfort (Vehicle's speed, Crossing Traffic, Pedestrians, Road Geometry, Road Markings and On-coming Traffic). These discomfort reactions were then cross-referenced to the road events they were associated with. The results suggest that there is a different set of discomfort sources associated with each unique road event. Overall, we identified seven distinct categories of road events that could cover the entire experimental route (Crosswalks, Roundabouts, Straight Intersections, Left-Turns with On-coming Traffic, Left-Turns without On-coming Traffic, Right turns with Right-of-way and Right turns without Right-of-way). From a design perspective, these findings can empower the development of interventions to reduce discomfort in automated vehicles.",

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Guy, CL, Ariel, T, Asaf, D & Tal, OG 2020, Identifying Sources of Discomfort in Various Road Events while Riding Automated Vehicles. in G Fortino, F-Y Wang, A Nurnberger, D Kaber, R Falcone, D Mendonca, Z Yu & A Guerrieri (eds), Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, ICHMS 2020., 9209461, Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, ICHMS 2020, 1st IEEE International Conference on Human-Machine Systems, ICHMS 2020, Virtual, Rome, Italy, 7/09/20. https://doi.org/10.1109/ICHMS49158.2020.9209461

Identifying Sources of Discomfort in Various Road Events while Riding Automated Vehicles. / Guy, Cohen Lazry; Ariel, Telpaz; Asaf, Degani et al.
Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, ICHMS 2020. ed. / Giancarlo Fortino; Fei-Yue Wang; Andreas Nurnberger; David Kaber; Rino Falcone; David Mendonca; Zhiwen Yu; Antonio Guerrieri. 2020. 9209461 (Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, ICHMS 2020).

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

TY - GEN

T1 - Identifying Sources of Discomfort in Various Road Events while Riding Automated Vehicles

AU - Guy, Cohen Lazry

AU - Ariel, Telpaz

AU - Asaf, Degani

AU - Tal, Oron Gilad

PY - 2020/9/1

Y1 - 2020/9/1

N2 - The present study aimed at exploring the factors that induce discomfort when riding automated vehicles in various driving events. Using a Wizard-of-Oz design, participants were driven in what appeared to be a fully automated (level 5) vehicle. An analysis of participants' reactions and verbal utterances revealed six specific sources of discomfort (Vehicle's speed, Crossing Traffic, Pedestrians, Road Geometry, Road Markings and On-coming Traffic). These discomfort reactions were then cross-referenced to the road events they were associated with. The results suggest that there is a different set of discomfort sources associated with each unique road event. Overall, we identified seven distinct categories of road events that could cover the entire experimental route (Crosswalks, Roundabouts, Straight Intersections, Left-Turns with On-coming Traffic, Left-Turns without On-coming Traffic, Right turns with Right-of-way and Right turns without Right-of-way). From a design perspective, these findings can empower the development of interventions to reduce discomfort in automated vehicles.

AB - The present study aimed at exploring the factors that induce discomfort when riding automated vehicles in various driving events. Using a Wizard-of-Oz design, participants were driven in what appeared to be a fully automated (level 5) vehicle. An analysis of participants' reactions and verbal utterances revealed six specific sources of discomfort (Vehicle's speed, Crossing Traffic, Pedestrians, Road Geometry, Road Markings and On-coming Traffic). These discomfort reactions were then cross-referenced to the road events they were associated with. The results suggest that there is a different set of discomfort sources associated with each unique road event. Overall, we identified seven distinct categories of road events that could cover the entire experimental route (Crosswalks, Roundabouts, Straight Intersections, Left-Turns with On-coming Traffic, Left-Turns without On-coming Traffic, Right turns with Right-of-way and Right turns without Right-of-way). From a design perspective, these findings can empower the development of interventions to reduce discomfort in automated vehicles.

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KW - Wizard-of-Oz

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T3 - Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, ICHMS 2020

BT - Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, ICHMS 2020

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A2 - Wang, Fei-Yue

A2 - Nurnberger, Andreas

A2 - Kaber, David

A2 - Falcone, Rino

A2 - Mendonca, David

A2 - Yu, Zhiwen

A2 - Guerrieri, Antonio

T2 - 1st IEEE International Conference on Human-Machine Systems, ICHMS 2020

Y2 - 7 September 2020 through 9 September 2020

ER -

Guy CL, Ariel T, Asaf D, Tal OG. Identifying Sources of Discomfort in Various Road Events while Riding Automated Vehicles. In Fortino G, Wang F-Y, Nurnberger A, Kaber D, Falcone R, Mendonca D, Yu Z, Guerrieri A, editors, Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, ICHMS 2020. 2020. 9209461. (Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, ICHMS 2020). doi: https://doi.org/10.1109/ICHMS49158.2020.9209461

Identifying Sources of Discomfort in Various Road Events while Riding Automated Vehicles

Abstract

Publication series

Conference

Keywords

All Science Journal Classification (ASJC) codes

Access to Document

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