Considering the Human Across Levels of Automation: Implications for Reliance | Zendy

Bobbie Seppelt | Zendy; Bryan Reimer | Zendy; Linda C. Angell | Zendy; Sean Seaman | Zendy

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Considering the Human Across Levels of Automation: Implications for Reliance

Author(s) -

Bobbie Seppelt,

Bryan Reimer,

Linda C. Angell,

Sean Seaman

Publication year - 2017

Language(s) - English

Resource type - Conference proceedings

DOI - 10.17077/drivingassessment.1640

Subject(s) - automation , framing (construction) , computer science , taxonomy (biology) , data science , risk analysis (engineering) , knowledge management , engineering , human–computer interaction , business , mechanical engineering , botany , structural engineering , biology

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.

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