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Authors: Suzanne Kieffer 1 ; Annabelle Gouze 2 and Jean Vanderdonckt 1

Affiliations: 1 Université catholique de Louvain, Louvain-la-Neuve, Belgium ; 2 EVS Broadcast Equipment, Rue Bois Saint-Jean 13, B-4102 Seraing, Belgium

Keyword(s): Clinical Decision-support System, Stroke Gesture, Multi-fidelity Prototype, User-centred Design.

Abstract: We conducted a user-centred design of a clinical decision-support system for breast cancer screening, diagnosis, and reporting based on stroke gestures. We combined knowledge elicitation interviews, scenario-focused questionnaires and paper mock-ups to understand user needs. Multi-fidelity (low and high) prototypes were designed and compared first in vitro in a usability laboratory, then in vivo in the real world. The resulting user interface provides radiologists with a platform that integrates domain-oriented tools for the visualisation of mammograms, the manual, and the semi-automatic annotation of breast cancer findings based on stroke gestures. The contribution of this work lies in that, to the best of our knowledge, stroke gestures have not yet been applied to the annotation of mammograms. On the one hand, although there is a substantial amount of research done in stroke-based interaction, none focuses especially on the domain of breast cancer annotation. On the other hand, typ ical gestures in breast cancer annotation tools are those with a keyboard and a mouse. (More)

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Paper citation in several formats:
Kieffer, S.; Gouze, A. and Vanderdonckt, J. (2021). User-centred Development of a Clinical Decision-support System for Breast Cancer Diagnosis and Reporting based on Stroke Gestures. 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 60-71. DOI: 10.5220/0010258900600071

@conference{hucapp21,
author={Suzanne Kieffer. and Annabelle Gouze. and Jean Vanderdonckt.},
title={User-centred Development of a Clinical Decision-support System for Breast Cancer Diagnosis and Reporting based on Stroke Gestures},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - HUCAPP},
year={2021},
pages={60-71},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010258900600071},
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 - User-centred Development of a Clinical Decision-support System for Breast Cancer Diagnosis and Reporting based on Stroke Gestures
SN - 978-989-758-488-6
IS - 2184-4321
AU - Kieffer, S.
AU - Gouze, A.
AU - Vanderdonckt, J.
PY - 2021
SP - 60
EP - 71
DO - 10.5220/0010258900600071
PB - SciTePress