Teaching Drivers about ADAS using Spoken Dialogue: A Wizard of Oz Study

Luka Rukonić, Marie-Anne Pungu Mwange, Suzanne Kieffer

2022

Abstract

Understanding the limitations and capabilities of the advanced driver-assistance systems (ADAS) is a prerequisite for their safe and comfortable use. This paper presents a formative user study on the use of a dialogue-based system, implemented using the Wizard of Oz (WOz) technique, to help drivers learn about the correct use of driving assistance. We investigated whether drivers would build the correct mental model of the driving assistance systems through natural language dialogue. We describe the evolution of the prototype over four iterations of formative evaluation with older and younger drivers. Using a mixed-method approach, combining the WOz, interviews, questionnaires, and a knowledge quiz, we evaluated the prototype of a voice assistant and identified the teaching content objectives. Participants’ mental model about ADAS was assessed to evaluate the efficacy of the teaching approach. The results show that the teaching goals need to be clearly communicated to the drivers to ensure the adoption of the VA.

Paper Citation

in Harvard Style

Rukonić L., Mwange M. and Kieffer S. (2022). Teaching Drivers about ADAS using Spoken Dialogue: A Wizard of Oz Study. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 2: HUCAPP; ISBN 978-989-758-555-5, SciTePress, pages 88-98. DOI: 10.5220/0010913900003124

in Bibtex Style

@conference{hucapp22,
author={Luka Rukonić and Marie-Anne Pungu Mwange and Suzanne Kieffer},
title={Teaching Drivers about ADAS using Spoken Dialogue: A Wizard of Oz Study},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 2: HUCAPP},
year={2022},
pages={88-98},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010913900003124},
isbn={978-989-758-555-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 2: HUCAPP
TI - Teaching Drivers about ADAS using Spoken Dialogue: A Wizard of Oz Study
SN - 978-989-758-555-5
AU - Rukonić L.
AU - Mwange M.
AU - Kieffer S.
PY - 2022
SP - 88
EP - 98
DO - 10.5220/0010913900003124
PB - SciTePress