abstract

RRADS: Real Road Autonomous Driving Simulation

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Wendy JuAuthors Info & Claims

HRI'15 Extended Abstracts: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts

Page 283

https://doi.org/10.1145/2701973.2702099

Published: 02 March 2015 Publication History

Abstract

This video introduces a methodology for simulating an autonomous vehicle on open public roads. The video showcases participant reaction footage collected in the RRADS (Real Road Autonomous Driving Simulator). Although our study using this simulator did not use overt deception--the consent form clearly states that a licensed driver is operating the vehicle--the protocol was designed to support suspension of disbelief. Several participants who did not read the consent form clearly strongly believed that the vehicle was autonomous; this provides a lens onto the attitudes and concerns that people in real-world autonomous vehicles might have, and also points to ways that a protocol that deliberately used misdirection could gain ecologically valid reactions from study participants.

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References

[1]

Ive, H., Ju, W. and Kohler, K. 2014. Quantitative Measures of User Experience in Autonomous Driving Simulators. AutomotiveUI, Seattle, WA, USA.

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[2]

Talone, A., Fincannon, T., Schuster, D., Jentsch, F. and Hudson, I. 2013. Comparing Physical and Virtual Simulation Use in UGV Research. Proc. of the Human Factors and Ergonomics Society, vol. 57 no. 1 2017--202 Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the owner/author(s). Copyright is held by the author/owner(s). HRI'15 Extended Abstracts, March 2-5, 2015, Portland, OR, USA. ACM 978--1--4503--3318--4/15/03. http://dx.doi.org/10.1145/2701973.2702099

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https://dl.acm.org/doi/10.1145/3635636.3660761
Sulaiman MYusof NKarjanto JHassan MSulaiman SJawi ZKassim K(2024)Development of Motion Sickness between Predictable and Unpredictable Motion in an Automated VehicleProceedings of the 9th International Conference and Exhibition on Sustainable Energy and Advanced Materials10.1007/978-981-97-0106-3_94(599-602)Online publication date: 5-Jun-2024
https://doi.org/10.1007/978-981-97-0106-3_94
Malik SKhan MAadam El-Sayed HIqbal FKhan JUllah O(2023)CARLA+: An Evolution of the CARLA Simulator for Complex Environment Using a Probabilistic Graphical ModelDrones10.3390/drones70201117:2(111)Online publication date: 7-Feb-2023
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Index Terms

RRADS: Real Road Autonomous Driving Simulation
1. Human-centered computing
  1. Interaction design
    1. Interaction design process and methods
      1. Interface design prototyping

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Published In

HRI'15 Extended Abstracts: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts

March 2015

336 pages

ISBN:9781450333184

DOI:10.1145/2701973

General Chairs:
Julie A. Adams
Vanderbilt University, USA
,
William Smart
Oregon State University, USA
,
Program Chairs:
Bilge Mutlu
University of Wisconsin-Madison, USA
,
Leila Takayama
Google[x], USA

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 02 March 2015

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HRI '15: ACM/IEEE International Conference on Human-Robot Interaction

March 2 - 5, 2015

Oregon, Portland, USA

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HRI'15 Extended Abstracts Paper Acceptance Rate 92 of 102 submissions, 90%;

Overall Acceptance Rate 192 of 519 submissions, 37%

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Lu JMandel IJu WLopes P(2024)(W)E-waste: Creative Making with Wasted Computing DevicesProceedings of the 16th Conference on Creativity & Cognition10.1145/3635636.3660761(83-85)Online publication date: 23-Jun-2024
https://dl.acm.org/doi/10.1145/3635636.3660761
Sulaiman MYusof NKarjanto JHassan MSulaiman SJawi ZKassim K(2024)Development of Motion Sickness between Predictable and Unpredictable Motion in an Automated VehicleProceedings of the 9th International Conference and Exhibition on Sustainable Energy and Advanced Materials10.1007/978-981-97-0106-3_94(599-602)Online publication date: 5-Jun-2024
https://doi.org/10.1007/978-981-97-0106-3_94
Malik SKhan MAadam El-Sayed HIqbal FKhan JUllah O(2023)CARLA+: An Evolution of the CARLA Simulator for Complex Environment Using a Probabilistic Graphical ModelDrones10.3390/drones70201117:2(111)Online publication date: 7-Feb-2023
https://doi.org/10.3390/drones7020111
Terrosi FStrigini LBondavalli A(2022)Impact of Machine Learning on Safety MonitorsComputer Safety, Reliability, and Security10.1007/978-3-031-14835-4_9(129-143)Online publication date: 6-Jun-2022
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Reig SNorman SMorales CDas SSteinfeld AForlizzi J(2018)A Field Study of Pedestrians and Autonomous VehiclesProceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3239060.3239064(198-209)Online publication date: 23-Sep-2018
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Viswanathan PZambalde EFoley GGraham JWang RAdhikari BMackworth AMihailidis AMiller WMitchell I(2017)Intelligent wheelchair control strategies for older adults with cognitive impairmentAutonomous Robots10.1007/s10514-016-9568-y41:3(539-554)Online publication date: 1-Mar-2017
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Krome SWalz SGreuter SKaye JDruin ALampe CMorris DHourcade J(2016)Contextual Inquiry of Future Commuting in Autonomous CarsProceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems10.1145/2851581.2892336(3122-3128)Online publication date: 7-May-2016
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Abstract

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Recommendations

The RRADS platform: a real road autonomous driving simulator

Ghost driver: a platform for investigating interactions between pedestrians and driverless vehicles

Visualizing implicit eHMI for autonomous vehicles

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