Visual Perception and Pre-Attentive Attributes in Oncological Data Visualisation
In the era of precision medicine, effective data visualisation plays a pivotal role in supporting clinical decision-making by translating complex, multidimensional datasets into intuitive and actionable insights. This paper explores the foundational principles of visual perception, with a specific f...
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MDPI AG
2025-07-01
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| Series: | Bioengineering |
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| Online Access: | https://www.mdpi.com/2306-5354/12/7/782 |
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| author | Roberta Fusco Vincenza Granata Sergio Venanzio Setola Davide Pupo Teresa Petrosino Ciro Paolo Lamanna Mimma Castaldo Maria Giovanna Riga Michele A. Karaboue Francesco Izzo Antonella Petrillo |
| author_facet | Roberta Fusco Vincenza Granata Sergio Venanzio Setola Davide Pupo Teresa Petrosino Ciro Paolo Lamanna Mimma Castaldo Maria Giovanna Riga Michele A. Karaboue Francesco Izzo Antonella Petrillo |
| author_sort | Roberta Fusco |
| collection | DOAJ |
| description | In the era of precision medicine, effective data visualisation plays a pivotal role in supporting clinical decision-making by translating complex, multidimensional datasets into intuitive and actionable insights. This paper explores the foundational principles of visual perception, with a specific focus on pre-attentive attributes such as colour, shape, size, orientation, and spatial position, which are processed automatically by the human visual system. Drawing from cognitive psychology and perceptual science, we demonstrate how these attributes can enhance the clarity and usability of medical visualisations, reducing cognitive load and improving interpretive speed in high-stakes clinical environments. Through detailed case studies and visual examples, particularly within the field of oncology, we highlight best practices and common pitfalls in the design of dashboards, nomograms, and interactive platforms. We further examine the integration of advanced tools—such as genomic heatmaps and temporal timelines—into multidisciplinary workflows to support personalised care. Our findings underscore that visually intelligent design is not merely an aesthetic concern but a critical factor in clinical safety, efficiency, and communication, advocating for user-centred and evidence-based approaches in the development of health data interfaces. |
| format | Article |
| id | doaj-art-42cf0b9ee0634cf2b27ffd49a6b1f05c |
| institution | DOAJ |
| issn | 2306-5354 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Bioengineering |
| spelling | doaj-art-42cf0b9ee0634cf2b27ffd49a6b1f05c2025-08-20T02:45:37ZengMDPI AGBioengineering2306-53542025-07-0112778210.3390/bioengineering12070782Visual Perception and Pre-Attentive Attributes in Oncological Data VisualisationRoberta Fusco0Vincenza Granata1Sergio Venanzio Setola2Davide Pupo3Teresa Petrosino4Ciro Paolo Lamanna5Mimma Castaldo6Maria Giovanna Riga7Michele A. Karaboue8Francesco Izzo9Antonella Petrillo10Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, ItalyDivision of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, ItalyDivision of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, ItalyDivision of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, ItalyDivision of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, ItalyDivision of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, ItalyUnit of “Progettazione e Manutenzione Edile ed impianti”, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, ItalyDepartment of Radiology, University of Padova, 35122 Padova, ItalyDepartment of Clinical and Experimental Medicine, University of Foggia, 71122 Foggia, ItalyDivision of Epatobiliary Surgical Oncology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, ItalyDivision of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, ItalyIn the era of precision medicine, effective data visualisation plays a pivotal role in supporting clinical decision-making by translating complex, multidimensional datasets into intuitive and actionable insights. This paper explores the foundational principles of visual perception, with a specific focus on pre-attentive attributes such as colour, shape, size, orientation, and spatial position, which are processed automatically by the human visual system. Drawing from cognitive psychology and perceptual science, we demonstrate how these attributes can enhance the clarity and usability of medical visualisations, reducing cognitive load and improving interpretive speed in high-stakes clinical environments. Through detailed case studies and visual examples, particularly within the field of oncology, we highlight best practices and common pitfalls in the design of dashboards, nomograms, and interactive platforms. We further examine the integration of advanced tools—such as genomic heatmaps and temporal timelines—into multidisciplinary workflows to support personalised care. Our findings underscore that visually intelligent design is not merely an aesthetic concern but a critical factor in clinical safety, efficiency, and communication, advocating for user-centred and evidence-based approaches in the development of health data interfaces.https://www.mdpi.com/2306-5354/12/7/782visual perceptionpre-attentive attributesdata visualisationoncology |
| spellingShingle | Roberta Fusco Vincenza Granata Sergio Venanzio Setola Davide Pupo Teresa Petrosino Ciro Paolo Lamanna Mimma Castaldo Maria Giovanna Riga Michele A. Karaboue Francesco Izzo Antonella Petrillo Visual Perception and Pre-Attentive Attributes in Oncological Data Visualisation Bioengineering visual perception pre-attentive attributes data visualisation oncology |
| title | Visual Perception and Pre-Attentive Attributes in Oncological Data Visualisation |
| title_full | Visual Perception and Pre-Attentive Attributes in Oncological Data Visualisation |
| title_fullStr | Visual Perception and Pre-Attentive Attributes in Oncological Data Visualisation |
| title_full_unstemmed | Visual Perception and Pre-Attentive Attributes in Oncological Data Visualisation |
| title_short | Visual Perception and Pre-Attentive Attributes in Oncological Data Visualisation |
| title_sort | visual perception and pre attentive attributes in oncological data visualisation |
| topic | visual perception pre-attentive attributes data visualisation oncology |
| url | https://www.mdpi.com/2306-5354/12/7/782 |
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