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Authors: Lisa Graichen 1 and Matthias Graichen 2

Affiliations: 1 Department of Psychology and Ergonomics, TU Berlin, Marchstraße 23, Berlin, Germany ; 2 Munich, Germany

Keyword(s): Trust, IVIS, User Experience, Subjective Measurements.

Abstract: Trust is a very important factor in user experience studies. It determines whether users are willing to use a particular application and provides information about the users’ mental model of the system and its limitations. Therefore, trust is widely discussed in the literature, and a variety of instruments have been developed to measure trust. We selected two recent questionnaires for use in a study of an in-vehicle information system. Drivers were asked to use an advanced driver assistance system and rate the level of trust they experienced using both questionnaires. The analysis of the responses to the two questionnaires showed similar results. Thus, these questionnaires seem to be suitable for studies related to driving scenarios and the evaluation of assistance systems.

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Paper citation in several formats:
Graichen, L. and Graichen, M. (2023). Measuring User Trust in an in-Vehicle Information System: A Comparison of Two Subjective Questionnaires. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - HUCAPP; ISBN 978-989-758-634-7; ISSN 2184-4321, SciTePress, pages 287-291. DOI: 10.5220/0011794500003417

@conference{hucapp23,
author={Lisa Graichen. and Matthias Graichen.},
title={Measuring User Trust in an in-Vehicle Information System: A Comparison of Two Subjective Questionnaires},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - HUCAPP},
year={2023},
pages={287-291},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011794500003417},
isbn={978-989-758-634-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - HUCAPP
TI - Measuring User Trust in an in-Vehicle Information System: A Comparison of Two Subjective Questionnaires
SN - 978-989-758-634-7
IS - 2184-4321
AU - Graichen, L.
AU - Graichen, M.
PY - 2023
SP - 287
EP - 291
DO - 10.5220/0011794500003417
PB - SciTePress

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