Modelling Cognitive Workload to Build Multimodal Voice Interaction in the Car

Sylvia Bhattacharya, J. Higgins

2024

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.

Paper Citation

in Harvard Style

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 - Volume 1: HUCAPP; ISBN 978-989-758-679-8, SciTePress, pages 393-399. DOI: 10.5220/0012249300003660

in Bibtex Style

@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 - Volume 1: HUCAPP},
year={2024},
pages={393-399},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012249300003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: HUCAPP
TI - Modelling Cognitive Workload to Build Multimodal Voice Interaction in the Car
SN - 978-989-758-679-8
AU - Bhattacharya S.
AU - Higgins J.
PY - 2024
SP - 393
EP - 399
DO - 10.5220/0012249300003660
PB - SciTePress