Ontology for assessment studies of human–computer-interaction in surgery

Ontology for assessment studies of human–computer-interaction in surgery

Highlights • We developed an investigation model for assessment studies of HCI in surgery. • We compared four top-level ontologies for model implementation: OCHRE, BFO, GFO, DOLCE. • GFO was selected for investigation model implementation in the form of a new ontology. • The investigation model and...

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Veröffentlicht in:Artificial intelligence in medicine 2015-02, Vol.63 (2), p.73-84
Hauptverfasser: Machno, Andrej, Jannin, Pierre, Dameron, Olivier, Korb, Werner, Scheuermann, Gerik, Meixensberger, Jürgen
Format: Artikel
Sprache:eng
Schlagworte:
Assessments
Automation
Automation consequences
Documentation
Guidelines
Humans
Human–computer-interaction
Internal Medicine
Knowledge Bases
Knowledge representation
Mathematical models
Medicine
Models, Theoretical
Ontology
Other
Representations
Research Design
Surgery
Surgery, Computer-Assisted
User-Computer Interface
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Beschreibung
Zusammenfassung:Highlights • We developed an investigation model for assessment studies of HCI in surgery. • We compared four top-level ontologies for model implementation: OCHRE, BFO, GFO, DOLCE. • GFO was selected for investigation model implementation in the form of a new ontology. • The investigation model and its ontology provide a modular study guideline. • Investigation model ontology is a tool to create knowledge bases of HCI assessment.
ISSN:0933-3657
1873-2860
DOI:10.1016/j.artmed.2014.12.011