Poster, 2022, ENG, 10.1007/978-3-031-06388-6_14
Broccia G.; Ciancia V.; Latella D.; Massink M.
CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy
In medical imaging, (semi-)automatic image analysis techniques have been proposed to support the current time-consuming and cognitively demanding practice of manual segmentation of regions of interest (ROIs). The recently proposed image query language ImgQL, based on spatial logic and model checking, represents segmentation methods as concise, domain-oriented, human-readable procedures aimed at domain experts rather than technologists, and has been validated in several case studies. Such efforts are directed towards a human-centred Artificial Intelligence methodology. To this aim, we complemented the ongoing research line with a study of the Human-Computer Interaction aspects. In this work we investigate the design of a graphical user interface (GUI) prototype that supports the analysis procedure with minimal impact on the focus and the memory load of domain experts.
HCII 2022 - 24th International Conference on Human-Computer Interaction, pp. 103–111, Online conference, 26/06-01/07/2022
User-entered design, Usability, Cognitive evaluation, Medical image analysis, Spatial logics, Spatial logic model-checking
Broccia Giovanna, Massink Mieke, Latella Diego, Ciancia Vincenzo
ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
External links
OAI-PMH: Dublin Core
OAI-PMH: Mods
OAI-PMH: RDF
DOI: 10.1007/978-3-031-06388-6_14
URL: https://link.springer.com/chapter/10.1007/978-3-031-06388-6_14
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:469023
DOI: 10.1007/978-3-031-06388-6_14
Scopus: 2-s2.0-85133258201