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Investigation of Factors Affecting the Usability Evaluation of an Adaptive Cruise Control System

  • Akihiro Maehigashi
  • Kazuhisa Miwa
  • Hirofumi Aoki
  • Tatsuya Suzuki
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10906)

Abstract

In this study, we investigate the factors affecting the usability evaluation of an adaptive cruise control (ACC) system. In this experiment, the participants drove a Toyota Prius car with an ACC on a highway. We sampled 215 types of driving data recorded at a frequency of 60 Hz during driving. At each of the six designated stop points on the driving course, the participants stopped their cars and evaluated the usability of the ACC system by answering the usability questionnaire for automation systems. The participants’ driving styles were measured using the driving style questionnaire. The multiple regression analyses showed that the participants’ driving styles, the ACC’s driving control, and the participants’ intervention in the driving control of the ACC influenced the usability evaluation. The results were discussed in terms of the human–automation interactions and the design principles of an ACC.

Keywords

Adaptive cruise control Usability Driving style Driving control Automation system 

Notes

Acknowledgment

This work was supported by JSPS KAKENHI Grant Number JP16H02353 and by the Center of Innovation Program (Nagoya University COI: Mobility Innovation Center) from Japan Science and Technology Agency.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Akihiro Maehigashi
    • 1
  • Kazuhisa Miwa
    • 1
  • Hirofumi Aoki
    • 2
  • Tatsuya Suzuki
    • 3
  1. 1.Graduate School of InformaticsNagoya UniversityNagoyaJapan
  2. 2.Institute of Innovation for Future Society (MIRAI)Nagoya UniversityNagoyaJapan
  3. 3.Graduate School of EngineeringNagoya UniversityNagoyaJapan

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