User-centred Development of a Clinical Decision-support System for Breast Cancer Diagnosis and Reporting based on Stroke Gestures

Suzanne Kieffer, Annabelle Gouze, Jean Vanderdonckt

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, typical gestures in breast cancer annotation tools are those with a keyboard and a mouse.

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Paper Citation


in Harvard Style

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 - Volume 1: HUCAPP, ISBN 978-989-758-488-6, pages 60-71. DOI: 10.5220/0010258900600071


in Bibtex Style

@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 - Volume 1: HUCAPP,},
year={2021},
pages={60-71},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010258900600071},
isbn={978-989-758-488-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: 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
AU - Kieffer S.
AU - Gouze A.
AU - Vanderdonckt J.
PY - 2021
SP - 60
EP - 71
DO - 10.5220/0010258900600071