English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Developing a Highly Automated Driving Scenario to Investigate User Intervention: When Things Go Wrong

Faltaous, S., Machulla, T., Baumann, M., & Chuang, L. (2017). Developing a Highly Automated Driving Scenario to Investigate User Intervention: When Things Go Wrong. In Adjunct Proceedings (pp. 67-71). New York, NY, USA: ACM Press.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0000-C38D-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0000-C38E-4
Genre: Conference Paper

Files

show Files

Locators

show
hide
Locator:
Link (Any fulltext)
Description:
-

Creators

show
hide
 Creators:
Faltaous, S1, 2, Author              
Machulla, T1, 2, 3, Author              
Baumann, M, Author
Chuang, L1, 2, 4, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
3Research Group Multisensory Perception and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497806              
4Project group: Cognition & Control in Human-Machine Systems, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528703              

Content

show
hide
Free keywords: -
 Abstract: Current levels of vehicle automation (i.e., SAE-L2) require users to be vigilant and to intervene when automated vehicles fail to perform appropriately. In this work, we developed a scenario for investigating how humans respond, in the absence of notifications for system failure. In order to develop better notifications to elicit user intervention, it is necessary to first understand how humans would intervene, even without the aid of in-vehicle notifications. We provide a description of how this is implemented in a driving simulator using Unity, a game engine. In addition, we report preliminary results. Overall, we found that participants were more aroused and cautious under conditions of low environment visibility, even though visibility had no bearing on the likelihood of vehicle automation to fail. We present recommendations for how the current scenario could be improved for subsequent research.

Details

show
hide
Language(s):
 Dates: 2017-09
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1145/3131726.3131766
BibTex Citekey: FaltaousMBC2017
 Degree: -

Event

show
hide
Title: 9th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '17)
Place of Event: Oldenburg, Germany
Start-/End Date: -

Legal Case

show

Project information

show

Source 1

show
hide
Title: Adjunct Proceedings
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: New York, NY, USA : ACM Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 67 - 71 Identifier: ISBN: 978-1-4503-5151-5