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Sensors 2015, 15(6), 13916-13944; doi:10.3390/s150613916

Human-Automation Interaction Design for Adaptive Cruise Control Systems of Ground Vehicles

Intelligent HMI/CAD Lab, Graduate School of Automotive Engineering, Kookmin University, 77 Jeongneung-ro, Seongbuk-gu, Seoul 136-702, Korea
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Author to whom correspondence should be addressed.
Academic Editor: Felipe Jimenez
Received: 12 February 2015 / Revised: 5 June 2015 / Accepted: 5 June 2015 / Published: 12 June 2015
(This article belongs to the Special Issue Sensors in New Road Vehicles)
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Abstract

A majority of recently developed advanced vehicles have been equipped with various automated driver assistance systems, such as adaptive cruise control (ACC) and lane keeping assistance systems. ACC systems have several operational modes, and drivers can be unaware of the mode in which they are operating. Because mode confusion is a significant human error factor that contributes to traffic accidents, it is necessary to develop user interfaces for ACC systems that can reduce mode confusion. To meet this requirement, this paper presents a new human-automation interaction design methodology in which the compatibility of the machine and interface models is determined using the proposed criteria, and if the models are incompatible, one or both of the models is/are modified to make them compatible. To investigate the effectiveness of our methodology, we designed two new interfaces by separately modifying the machine model and the interface model and then performed driver-in-the-loop experiments. The results showed that modifying the machine model provides a more compact, acceptable, effective, and safe interface than modifying the interface model. View Full-Text
Keywords: adaptive cruise control; formal verification; intelligent vehicle; mode confusion; user interface adaptive cruise control; formal verification; intelligent vehicle; mode confusion; user interface
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Eom, H.; Lee, S.H. Human-Automation Interaction Design for Adaptive Cruise Control Systems of Ground Vehicles. Sensors 2015, 15, 13916-13944.

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