Format

Send to

Choose Destination
Appl Ergon. 2017 Mar;59(Pt A):302-312. doi: 10.1016/j.apergo.2016.09.005. Epub 2016 Sep 24.

How to assess driver's interaction with partially automated driving systems - A framework for early concept assessment.

Author information

1
University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands. Electronic address: a.p.vandenbeukel@utwente.nl.
2
University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands. Electronic address: m.c.vandervoort@utwente.nl.

Abstract

The introduction of partially automated driving systems changes the driving task into supervising the automation with an occasional need to intervene. To develop interface solutions that adequately support drivers in this new role, this study proposes and evaluates an assessment framework that allows designers to evaluate driver-support within relevant real-world scenarios. Aspects identified as requiring assessment in terms of driver-support within the proposed framework are Accident Avoidance, gained Situation Awareness (SA) and Concept Acceptance. Measurement techniques selected to operationalise these aspects and the associated framework are pilot-tested with twenty-four participants in a driving simulator experiment. The objective of the test is to determine the reliability of the applied measurements for the assessment of the framework and whether the proposed framework is effective in predicting the level of support offered by the concepts. Based on the congruency between measurement scores produced in the test and scores with predefined differences in concept-support, this study demonstrates the framework's reliability. A remaining concern is the framework's weak sensitivity to small differences in offered support. The article concludes that applying the framework is especially advantageous for evaluating early design phases and can successfully contribute to the efficient development of driver's in-control and safe means of operating partially automated vehicles.

KEYWORDS:

Assessment framework; Driving automation; Interface design

PMID:
27890141
DOI:
10.1016/j.apergo.2016.09.005
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center