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A Continuous and Quantitative Metric for the Levels of Automation

Braun, Christian Alexander; Flad, Michael; Hohmann, Sören

Abstract (englisch):
The standard SAE J3016 provides a definition for levels of driving automation; however, shared control algorithms that have successfully been applied to vehicle automation, do not reasonably fit into the levels proposed by the standard.
In this paper, the rich literature about levels of automation taxonomies is reviewed regarding the applicability to all automation concepts. Most definitions provide qualitative rankings of different levels of automation for specific applications. However, from an engineering perspective, a quantitative and generic approach would generate great benefit for the design, analysis and evaluation of human-machine systems.
Thus, criteria for a desirable metric of levels of automation are discussed and a continuous and quantitative measure based on the options available to the human is proposed. The application to an advanced driver assistant system example is demonstrated and future ways to leverage the potential of the metric within and beyond automated driving are examined.

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Postprint §
DOI: 10.5445/IR/1000095066
Veröffentlicht am 03.02.2020
DOI: 10.1016/j.ifacol.2019.12.081
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Regelungs- und Steuerungssysteme (IRS)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 19.06.2019
Sprache Englisch
Identifikator ISSN: 1474-6670, 2405-8963, 2589-3653
KITopen-ID: 1000095066
Erschienen in IFAC-PapersOnLine
Verlag International Federation of Automatic Control (IFAC)
Band 52
Heft 19
Seiten 37-42
Schlagwörter Levels of Automation, Human-Machine Systems, Automatic Control, Shared Control, Human Factors, Human-Centered Design
Nachgewiesen in Scopus
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