Effect of phone interface modality on drivers’ task load index in conventional and semi-automated vehicles

Publication Date

1-1-2020

Document Type

Conference Proceeding

Publication Title

Intelligent Human Systems Integration 2020: Proceedings of the 3rd International Conference on Intelligent Human Systems Integration (IHSI 2020): Integrating People and Intelligent Systems, February 19-21, 2020, Modena, Italy

Editor

Tareq Ahram, Waldemar Karwowski, Alberto Vergnano, Francesco Leali, Redha Taiar

DOI

10.1007/978-3-030-39512-4_13

First Page

80

Last Page

85

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.

Funding Number

69A3551747127

Funding Sponsor

U.S. Department of Transportation

Keywords

Human-in-the-loop simulation, Smartphone interaction, Texting task load

Department

Psychology; Aviation and Technology

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