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Effect of Phone Interface Modality on Drivers’ Task Load Index in Conventional and Semi-Automated Vehicles

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Intelligent Human Systems Integration 2020 (IHSI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1131))

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Abstract

This study tested how two different interaction modalities with a smartphone (manual texting and vocal replies) affected task loads perceived by drivers places in various driving scenarios. The study employed human-in-the-loop simulation, and involved both a city environment (driven in conventional manual mode) and a highway environment (driven first in automated mode and then requiring takeover from the driver). The interface was tested in relation to following GPS instructions while being prompted to reply to texts at specific times in the simulation. The results compare the overall mental load scores of the manual texting condition for both city and highway scenarios to the vocal reply condition. Unweighted NASA TLX data shows that the vocal interface led to lower scores; however, statistical significance was shown only for the city scenarios for physical load and effort calculations.

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Acknowledgments

Funding for this research was provided by the US Department of Transportation (grant 69A3551747127 managed by the Mineta Transportation Institute of San Jose, CA).

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Correspondence to Francesca Favaro .

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Davtyan, K., Favaro, F. (2020). Effect of Phone Interface Modality on Drivers’ Task Load Index in Conventional and Semi-Automated Vehicles. In: Ahram, T., Karwowski, W., Vergnano, A., Leali, F., Taiar, R. (eds) Intelligent Human Systems Integration 2020. IHSI 2020. Advances in Intelligent Systems and Computing, vol 1131. Springer, Cham. https://doi.org/10.1007/978-3-030-39512-4_13

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