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Preference Feedback for Driving in an Unfamiliar Traffic Regulation

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Service Research and Innovation (ASSRI 2018, ASSRI 2018)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 367))

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Abstract

Driving in an unfamiliar traffic regulation is associated with difficulties in adjusting with the new conditions and rules. Providing feedback in a proper way can help drivers overcome such difficulties. This paper aims to explore the most preferred feedback modality, feedback presenting time, and frequency of presenting feedback when turning left at a roundabout when driving in an unfamiliar traffic regulation, namely, a keep-left traffic regulation. Driving in a roundabout includes navigation, speed, and signal indication. Thirty-five participants who were not familiar with an Australian traffic regulation (i.e. keep-left and a right-hand driving vehicle) answered the online survey. We found that visual feedback is the most preferred modality in all driving tasks related to driving at a roundabout. Also, concurrent feedback is the most preferred feedback presenting time. There is no a particular preferred frequency to present the feedback. Our findings would help design the feedback system to assist the driver in such a driving condition.

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Acknowledgements

This study has been sponsored by King Abdulaziz University through a PhD scholarship to the first author.

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Authors and Affiliations

  1. Macquarie University, Sydney, Australia

    Hasan J. Alyamani, Stephen Smith & Manolya Kavakli

  2. The University of Waikato, Hamilton, New Zealand

    Annika Hinze

Authors
  1. Hasan J. Alyamani
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  2. Annika Hinze
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  3. Stephen Smith
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  4. Manolya Kavakli
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Corresponding author

Correspondence to Hasan J. Alyamani .

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Editors and Affiliations

  1. CSIRO, Eveleigh, NSW, Australia

    Ho-Pun Lam

  2. University of Sydney, Sydney, NSW, Australia

    Sajib Mistry

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Alyamani, H.J., Hinze, A., Smith, S., Kavakli, M. (2019). Preference Feedback for Driving in an Unfamiliar Traffic Regulation. In: Lam, HP., Mistry, S. (eds) Service Research and Innovation. ASSRI ASSRI 2018 2018. Lecture Notes in Business Information Processing, vol 367. Springer, Cham. https://doi.org/10.1007/978-3-030-32242-7_4

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  • DOI: https://doi.org/10.1007/978-3-030-32242-7_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32241-0

  • Online ISBN: 978-3-030-32242-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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