2022
Contribution to conference  Open Access

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

Broccia G., Ciancia V., Latella D., Massink M.

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

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.

Source: HCII 2022 - 24th International Conference on Human-Computer Interaction, pp. 103–111, Online conference, 26/06-01/07/2022


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BibTeX entry
@inproceedings{oai:it.cnr:prodotti:469023,
	title = {Towards a GUI for declarative medical image analysis: cognitive and memory load issues},
	author = {Broccia G. and Ciancia V. and Latella D. and Massink M.},
	doi = {10.1007/978-3-031-06388-6_14},
	booktitle = {HCII 2022 - 24th International Conference on Human-Computer Interaction, pp. 103–111, Online conference, 26/06-01/07/2022},
	year = {2022}
}