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Authors: Sylvia Bhattacharya 1 and J. Higgins 2

Affiliations: 1 Department of Engineering Technology, Kennesaw State University, Marietta, Georgia, U.S.A. ; 2 UX Research, Google. Inc, Mountain view, California, U.S.A

Keyword(s): In-Vehicle Information Systems, Cognitive Demands, Optimization, Visual/Auditory Modalities, Tactile Screen Tapping, Voice Commands, Visual Cues, Cognitive Load.

Abstract: The paper discusses the integration of in-vehicle information systems and their impact on driver performance, considering the demands of various types such as visual, auditory, manual, and cognitive. It notes that while there’s a lot of research on optimizing visual and manual systems, less attention has been paid to systems that use both visual and auditory cues or a combination of different types. The study has found that simple tasks cause the least cognitive strain when drivers use touchscreens, while complex tasks are easier to manage cognitively when voice commands are used alone or with visual aids. These results are important for designing car interfaces that effectively manage the driver’s cognitive load.

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Paper citation in several formats:
Bhattacharya, S. and Higgins, J. (2024). Modelling Cognitive Workload to Build Multimodal Voice Interaction in the Car. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - HUCAPP; ISBN 978-989-758-679-8; ISSN 2184-4321, SciTePress, pages 393-399. DOI: 10.5220/0012249300003660

@conference{hucapp24,
author={Sylvia Bhattacharya. and J. Higgins.},
title={Modelling Cognitive Workload to Build Multimodal Voice Interaction in the Car},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - HUCAPP},
year={2024},
pages={393-399},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012249300003660},
isbn={978-989-758-679-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - HUCAPP
TI - Modelling Cognitive Workload to Build Multimodal Voice Interaction in the Car
SN - 978-989-758-679-8
IS - 2184-4321
AU - Bhattacharya, S.
AU - Higgins, J.
PY - 2024
SP - 393
EP - 399
DO - 10.5220/0012249300003660
PB - SciTePress