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Authors: Luka Rukonic 1 ; Marie-Anne Pungu Mwange 2 and Suzanne Kieffer 1

Affiliations: 1 Institute for Language and Communication, Université Catholique de Louvain, Louvain-la-Neuve, Belgium ; 2 AWTC Europe, Avenue de l’Industrie 19, Braine-L’Alleud, Belgium

Keyword(s): Video Prototypes, Formative Evaluation, Autonomous Driving, Senior Drivers, User-centred Design.

Abstract: This paper presents a study on user experience (UX) design and evaluation of warning systems intended for older adults in semi-autonomous cars. We used combinations of visual, auditory, and speech modalities to design the warning alerts and created three low-fidelity, video-based prototypes. We conducted user tests with elderly drivers, both in the lab and remotely, within a test-and-refine approach involving three experiments. The methods used for data collection included Wizard of Oz, standard questionnaires and interviews. We collected qualitative user feedback and self-reported ratings of user experience and cognitive load. We report on the iterative development of our design solution, findings from these user studies, and our methodological insights, that UX researchers and practitioners could use in similar settings.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Rukonic, L. ; Mwange, M. and Kieffer, S. (2021). UX Design and Evaluation of Warning Alerts for Semi-autonomous Cars with Elderly Drivers. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - HUCAPP; ISBN 978-989-758-488-6; ISSN 2184-4321, SciTePress, pages 25-36. DOI: 10.5220/0010237000250036

@conference{hucapp21,
author={Luka Rukonic and Marie{-}Anne Pungu Mwange and Suzanne Kieffer},
title={UX Design and Evaluation of Warning Alerts for Semi-autonomous Cars with Elderly Drivers},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - HUCAPP},
year={2021},
pages={25-36},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010237000250036},
isbn={978-989-758-488-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - HUCAPP
TI - UX Design and Evaluation of Warning Alerts for Semi-autonomous Cars with Elderly Drivers
SN - 978-989-758-488-6
IS - 2184-4321
AU - Rukonic, L.
AU - Mwange, M.
AU - Kieffer, S.
PY - 2021
SP - 25
EP - 36
DO - 10.5220/0010237000250036
PB - SciTePress