Poster, 2022, ENG, 10.1007/978-3-031-06388-6_14

Towards a GUI for declarative medical image analysis: cognitive and memory load issues

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

Keywords

User-entered design, Usability, Cognitive evaluation, Medical image analysis, Spatial logics, Spatial logic model-checking

CNR authors

Broccia Giovanna, Massink Mieke, Latella Diego, Ciancia Vincenzo

CNR institutes

ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"

ID: 469023

Year: 2022

Type: Poster

Creation: 2022-07-08 14:56:02.000

Last update: 2023-07-05 10:46:18.000

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:469023

DOI: 10.1007/978-3-031-06388-6_14

Scopus: 2-s2.0-85133258201