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Maneuver-based Control Interventions During Automated Driving: Comparing Touch, Voice, and Mid-Air Gestures as Input Modalities

  • Self-driving cars will relief the human from the driving task. Nevertheless, the human might want to intervene in the driving process and thus needs the possibility to control the car. Switching back to fully manual controls is uncomfortable once being passive and engaging in non-driving-related activities. A more comfortable way is controlling the car with elemental maneuvers (e.g., "turn left" or "stop"). Whereas touch interaction concepts exist, contactless interaction through voice and mid-air gestures has not yet been explored for maneuver-based car control. In this paper, we, therefore, compare the general eligibility of voice and mid-air gesture with touch interaction as the primary maneuver selection mechanism in a driving simulator study. Our results show high usability for all modalities. Contactless interaction leads to a more positive emotional perception of the interaction, yet mid-air gestures lead to higher task load. Overall, voice and touch control are preferred over mid-air gestures by most users.

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Metadaten
Author:Henrik Detjen, Stefan Geisler, Stefan Schneegass
DOI:https://doi.org/10.1109/SMC42975.2020.9283431
ISBN:978-1-7281-8527-9
ISSN:2577-1655
Parent Title (English):2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Document Type:Conference Proceeding
Language:English
Year of Completion:2020
Release Date:2021/01/19
Tag:Automobiles; Autonomous automobiles; Shape; Task analysis; Usability
Pagenumber:7
First Page:3268
Last Page:3274
Institutes:Fachbereich 1 - Institut Informatik
DDC class:000 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik
Licence (German):License LogoNo Creative Commons