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Information Content of a Route Guidance System Based on the Characteristics of Elderly Drivers

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Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) (IEA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 823))

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Abstract

Landmarks and clues outside the car that elderly drivers can easily recognize from inside the car and on a car navigation system during route navigation were extracted. In a laboratory survey, we measured the degree of awareness of logos by type of business. We then conducted a driving simulator experiment to verify the response rate, reaction distance, and line of sight direction according to the business type and store, vehicle location, shop location, and presence/absence of signboards that had good results in the laboratory survey set as variables. Results show that a vehicle navigation system should ideally use clue information outside the car that drivers can view without largely averting their eyes from the front; use clue information that is presented at a large visual angle; and use clue information that is conspicuous in color and shape and known by the elderly driver.

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Reference

  1. Lynch K (1960) The image of the city. MIT Press, Cambridge

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Correspondence to Akifumi Tsuyuki .

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Tsuyuki, A., Daimon, T. (2019). Information Content of a Route Guidance System Based on the Characteristics of Elderly Drivers. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds) Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. Advances in Intelligent Systems and Computing, vol 823. Springer, Cham. https://doi.org/10.1007/978-3-319-96074-6_28

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