Conference Proceeding

Considering the Human Across Levels of Automation: Implications for Reliance

Authors
  • Bobbie Seppelt (Touchstone Evaluations, Inc., Grosse Pointe, MI)
  • Bryan Reimer (MIT AgeLab and New England University Transportation Center Cambridge, MA)
  • Linda Angell (Touchstone Evaluations, Inc., Grosse Pointe, MI)
  • Sean Seaman (Touchstone Evaluations, Inc., Grosse Pointe, MI)

Abstract

This paper introduces human considerations that have yet to be fully addressed in industry standards for levels of automation. Currently-deployed vehicle automation is discussed according to these standards from a human interaction framing. The taxonomy-centric description of individual features provides insights into the challenges drivers may have in use of features in actual driving conditions. Initial data from an on-going naturalistic driving study of Tesla drivers is presented as a first-look at the prevalence of interaction challenges in real-world automation based on technology use. Implications for system design and training are discussed with the aim of centering industry and policy discussions on human-centric technology development.

How to Cite:

Seppelt, B. & Reimer, B. & Angell, L. & Seaman, S., (2017) “Considering the Human Across Levels of Automation: Implications for Reliance”, Driving Assessment Conference 9(2017), 228-234. doi: https://doi.org/10.17077/drivingassessment.1640

Rights: Copyright © 2017 the author(s)

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Published on
28 Jun 2017
Peer Reviewed