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Assessing the Effects of Landmarks and Routes on Neuro-Cognitive Load Using Virtual Environment

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Proceedings of Seventh International Congress on Information and Communication Technology

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 447))

Abstract

The study aims to determine whether landmarks and routes influence navigational efficiency. In this study, 79 subjects participated in the experiments, and we evaluated their cognitive loads based on the generated psychophysiological measures and performance features from the driving system. The virtual reality system recorded the participant’s heart rate, eye gaze, pupil size, as well as the driving performance metrics. The participants were presented with different landmarks (sufficient and insufficient landmarks) and routes (easy and difficult routes) to help them reach their respective destinations. An analytic strategy method was employed to measure neuro-cognitive load for user classifications. The participants were divided into two groups, each group having two sessions. Each session had either sufficient landmarks or insufficient landmarks. The results showed that insufficient landmarks and difficult routes elicited an increase in heart rate and pupil size, which caused the participants to commit more mistakes. It also showed that easy routes with sufficient landmarks achieved higher-navigation efficiency. These results would help improve the use of landmarks and the design of the driving routes. It could also be used to analyze traffic safety by utilizing the driver's cognition and performance.

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Authors and Affiliations

  1. School of Information Science and Technology, Fudan University, Shanghai, 200433, China

    Usman Alhaji Abdurrahman & Lirong Zheng

  2. Department of Computer Science, University of Terengganu, Terengganu, Malaysia

    Usman Haruna

  3. Department of Computer Science, Yusuf Maitama Sule University, Kano, Nigeria

    Usman Alhaji Abdurrahman & Usman Haruna

Authors
  1. Usman Alhaji Abdurrahman
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  2. Lirong Zheng
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  3. Usman Haruna
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Correspondence to Usman Alhaji Abdurrahman .

Editor information

Editors and Affiliations

  1. Middlesex University, London, UK

    Xin-She Yang

  2. The University of Reading, Reading, UK

    Simon Sherratt

  3. JIS University, Kolkata, India

    Nilanjan Dey

  4. Global Knowledge Research Foundation, Ahmedabad, India

    Amit Joshi

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Abdurrahman, U.A., Zheng, L., Haruna, U. (2023). Assessing the Effects of Landmarks and Routes on Neuro-Cognitive Load Using Virtual Environment. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Seventh International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 447. Springer, Singapore. https://doi.org/10.1007/978-981-19-1607-6_57

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  • DOI: https://doi.org/10.1007/978-981-19-1607-6_57

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-1606-9

  • Online ISBN: 978-981-19-1607-6

  • eBook Packages: EngineeringEngineering (R0)

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