Buzz or Beep? How Mode of Alert Influences Driver Takeover Following Automation Failure
abstract: Highly automated vehicles require drivers to remain aware enough to takeover during critical events. Driver distraction is a key factor that prevents drivers from reacting adequately, and thus there is need for an alert to help drivers regain situational awareness and be able to act...
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ndltd-asu.edu-item-516992019-02-02T03:01:14Z Buzz or Beep? How Mode of Alert Influences Driver Takeover Following Automation Failure abstract: Highly automated vehicles require drivers to remain aware enough to takeover during critical events. Driver distraction is a key factor that prevents drivers from reacting adequately, and thus there is need for an alert to help drivers regain situational awareness and be able to act quickly and successfully should a critical event arise. This study examines two aspects of alerts that could help facilitate driver takeover: mode (auditory and tactile) and direction (towards and away). Auditory alerts appear to be somewhat more effective than tactile alerts, though both modes produce significantly faster reaction times than no alert. Alerts moving towards the driver also appear to be more effective than alerts moving away from the driver. Future research should examine how multimodal alerts differ from single mode, and see if higher fidelity alerts influence takeover times. Dissertation/Thesis Brogdon, Michael A (Author) Gray, Robert (Advisor) Branaghan, Russell (Committee member) Chiou, Erin (Committee member) Arizona State University (Publisher) Psychology Automotive engineering Cognitive psychology Automation Driver Alerts Driver Takeover Human-Computer Interaction Human Factors Situation awareness eng 26 pages Masters Thesis Human Systems Engineering 2018 Masters Thesis http://hdl.handle.net/2286/R.I.51699 http://rightsstatements.org/vocab/InC/1.0/ 2018 |
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language |
English |
format |
Dissertation |
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Psychology Automotive engineering Cognitive psychology Automation Driver Alerts Driver Takeover Human-Computer Interaction Human Factors Situation awareness |
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Psychology Automotive engineering Cognitive psychology Automation Driver Alerts Driver Takeover Human-Computer Interaction Human Factors Situation awareness Buzz or Beep? How Mode of Alert Influences Driver Takeover Following Automation Failure |
description |
abstract: Highly automated vehicles require drivers to remain aware enough to takeover
during critical events. Driver distraction is a key factor that prevents drivers from reacting
adequately, and thus there is need for an alert to help drivers regain situational awareness
and be able to act quickly and successfully should a critical event arise. This study
examines two aspects of alerts that could help facilitate driver takeover: mode (auditory
and tactile) and direction (towards and away). Auditory alerts appear to be somewhat
more effective than tactile alerts, though both modes produce significantly faster reaction
times than no alert. Alerts moving towards the driver also appear to be more effective
than alerts moving away from the driver. Future research should examine how
multimodal alerts differ from single mode, and see if higher fidelity alerts influence
takeover times. === Dissertation/Thesis === Masters Thesis Human Systems Engineering 2018 |
author2 |
Brogdon, Michael A (Author) |
author_facet |
Brogdon, Michael A (Author) |
title |
Buzz or Beep? How Mode of Alert Influences Driver Takeover Following Automation Failure |
title_short |
Buzz or Beep? How Mode of Alert Influences Driver Takeover Following Automation Failure |
title_full |
Buzz or Beep? How Mode of Alert Influences Driver Takeover Following Automation Failure |
title_fullStr |
Buzz or Beep? How Mode of Alert Influences Driver Takeover Following Automation Failure |
title_full_unstemmed |
Buzz or Beep? How Mode of Alert Influences Driver Takeover Following Automation Failure |
title_sort |
buzz or beep? how mode of alert influences driver takeover following automation failure |
publishDate |
2018 |
url |
http://hdl.handle.net/2286/R.I.51699 |
_version_ |
1718970050122088448 |