research-article

An investigation into human-autonomous vs. human-human vehicle interaction in time-critical situations

Authors:

Andreas LuedtkeAuthors Info & Claims

PETRA '19: Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments

Pages 303 - 304

https://doi.org/10.1145/3316782.3321544

Published: 05 June 2019 Publication History

Get Access

Abstract

We performed a driving simulator study to investigate merging decisions with respect to an interaction partner in time-critical situations. The experimental paradigm was a two-alternative forced choice, where the subjects could choose to merge before human vehicles or highly automated vehicles (HAV). Under time pressure, subjects showed a significantly higher gap acceptance during merging situations when interacting with HAV. This confirmed our original hypothesis that when interacting with HAV, drivers would exploit the HAV's technological advantages and defensive programming in time-critical situations.

References

[1]

Millard-Ball, Adam. "Pedestrians, autonomous vehicles, and cities." Journal of Planning Education and Research 38.1 (2018): 6--12.

Crossref

Google Scholar

[2]

Richtel, Matt, and Conor Dougherty. "Google's driverless cars run into problem: Cars with drivers." NewYork Times 1.September (2015).

Google Scholar

[3]

Kennedy, G. E., et al. "First year students' experiences with technology: Are they really digital natives?" Australian journal of educational technology 24.1 (2008): 108--122

Google Scholar

[4]

Parasuraman, R. and Manzez D. H. "A Complacency and bias in human use of automation: An attentional integration." Human Factors 52.3 (2010): 381--410

Crossref

Google Scholar

Cited By

View all

Kong DWang MZhang KSun LWang QZhang X(2024)Exploring HDV Driver–CAV Interaction in Mixed Traffic: A Two-Step Method Integrating Latent Profile Analysis and Multinomial Logit ModelApplied Sciences10.3390/app1405176814:5(1768)Online publication date: 21-Feb-2024
https://doi.org/10.3390/app14051768
Zhang YYe BMubbala DDu N(2024)Examining the Impact of Driving Styles of Automated Vehicles and Human Drivers on Driving Behavior: A Driving Simulator StudyAdjunct Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3641308.3685050(214-219)Online publication date: 22-Sep-2024
https://dl.acm.org/doi/10.1145/3641308.3685050
Zhang YAwad EFrank MLiu PDu N(2024)Understanding Human-machine Cooperation in Game-theoretical Driving Scenarios amid Mixed TrafficProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642053(1-13)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642053
Show More Cited By

Index Terms

An investigation into human-autonomous vs. human-human vehicle interaction in time-critical situations
1. Human-centered computing
  1. Human computer interaction (HCI)

Recommendations

The Impact of Vehicle Appearance and Vehicle Behavior on Pedestrian Interaction with Autonomous Vehicles
AutomotiveUI '17: Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct

In this paper, we present the preliminary results of a study that aims to investigate the role of an approaching vehicle's behavior and outer appearance in determining pedestrians' decisions while crossing a street. Concerning appearance, some vehicles ...
RFDrive: Tagged Human-Vehicle Interaction for All
Human–vehicle interaction is an important factor for safe driving. The driver needs to interact with the in-vehicle steering wheel and infotainment system properly during driving. Specifically, driving guidelines require the driver to hold the steering ...
Study on mixed traffic of autonomous vehicles and human-driven vehicles with different cyber interaction approaches
Abstract
The emergence of autonomous vehicles will significantly improve traffic efficiency and safety. Before the fully autonomous driving of traffic system, the mixed traffic with autonomous and human-driven vehicles will be a typical feature ...

Comments

Information & Contributors

Information

Published In

PETRA '19: Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments

June 2019

655 pages

ISBN:9781450362320

DOI:10.1145/3316782

Conference Chair:
Fillia Makedon
University of Texas at Arlington

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 June 2019

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

DFG-grant RI1511/2-1

Conference

PETRA '19

PETRA '19: The 12th PErvasive Technologies Related to Assistive Environments Conference

June 5 - 7, 2019

Rhodes, Greece

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

18
Total Citations
View Citations
283
Total Downloads

Downloads (Last 12 months)41
Downloads (Last 6 weeks)3

Reflects downloads up to 03 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Kong DWang MZhang KSun LWang QZhang X(2024)Exploring HDV Driver–CAV Interaction in Mixed Traffic: A Two-Step Method Integrating Latent Profile Analysis and Multinomial Logit ModelApplied Sciences10.3390/app1405176814:5(1768)Online publication date: 21-Feb-2024
https://doi.org/10.3390/app14051768
Zhang YYe BMubbala DDu N(2024)Examining the Impact of Driving Styles of Automated Vehicles and Human Drivers on Driving Behavior: A Driving Simulator StudyAdjunct Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3641308.3685050(214-219)Online publication date: 22-Sep-2024
https://dl.acm.org/doi/10.1145/3641308.3685050
Zhang YAwad EFrank MLiu PDu N(2024)Understanding Human-machine Cooperation in Game-theoretical Driving Scenarios amid Mixed TrafficProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642053(1-13)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642053
Chen NZuo JZu Y(2024)The Influence of Incentives on Drivers’ Aggressive Behaviors Toward Automated VehiclesInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2342090(1-12)Online publication date: 22-Apr-2024
https://doi.org/10.1080/10447318.2024.2342090
Liu P(2024)Social interactions between automated vehicles and human drivers: a narrative reviewErgonomics10.1080/00140139.2024.2435038(1-20)Online publication date: 3-Dec-2024
https://doi.org/10.1080/00140139.2024.2435038
Li GJiao YCalvert Svan Lint J(2024)Lateral conflict resolution data derived from Argoverse-2: Analysing safety and efficiency impacts of autonomous vehicles at intersectionsTransportation Research Part C: Emerging Technologies10.1016/j.trc.2024.104802167(104802)Online publication date: Oct-2024
https://doi.org/10.1016/j.trc.2024.104802
Chen YLi KZhang LChen YXiao X(2024)Modeling and analysis of mixed traffic flow capacity and stability considering human-driven vehicle drivers' trust attitude towards intelligent connected vehiclesPhysica A: Statistical Mechanics and its Applications10.1016/j.physa.2023.129486635(129486)Online publication date: Feb-2024
https://doi.org/10.1016/j.physa.2023.129486
Mironenko OBanaee HLoutfi A(2024)Evaluation of Human Interaction with Fleets of Automated Vehicles in Dynamic Underground Mining EnvironmentsAgents and Robots for reliable Engineered Autonomy10.1007/978-3-031-73180-8_4(54-72)Online publication date: 13-Oct-2024
https://doi.org/10.1007/978-3-031-73180-8_4
Damm WHess DSchweda MSztipanovits JBengler KBiebl BFränzle MHagemann WHeld MIhme KKacianka SKerscher ALehnhoff SLuedtke APretschner ARakow ARieger JSonntag DSchwammberger MAustel BUnni AVeith E(2023)A Reference Architecture of Human Cyber-Physical Systems – Part I: Fundamental ConceptsACM Transactions on Cyber-Physical Systems10.1145/36228798:1(1-32)Online publication date: 20-Sep-2023
https://dl.acm.org/doi/10.1145/3622879
Zhang YLing SAwad EFrank MDu N(2023)Driving Next to Automated Vehicles: Emergent Human-machine Cooperation in Mixed TrafficExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585690(1-7)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3585690
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

The Impact of Vehicle Appearance and Vehicle Behavior on Pedestrian Interaction with Autonomous Vehicles

RFDrive: Tagged Human-Vehicle Interaction for All

Study on mixed traffic of autonomous vehicles and human-driven vehicles with different cyber interaction approaches

Comments

Published In

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Funding Sources

Conference

Other Metrics

Article Metrics

Other Metrics

Cited By

Login options

Full Access

PDF

eReader

Abstract

References

Cited By

Index Terms

Recommendations

The Impact of Vehicle Appearance and Vehicle Behavior on Pedestrian Interaction with Autonomous Vehicles

RFDrive: Tagged Human-Vehicle Interaction for All

Study on mixed traffic of autonomous vehicles and human-driven vehicles with different cyber interaction approaches

Comments

Information

Published In

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Funding Sources

Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations