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Development and Validation of a Functional Behavioural Assessment Ontology to Support Behavioural Health
Gianluca Merlo1, Giuseppe Chiazzese1, Davide Taibi1
1Istituto per le Tecnologie Didattiche, Consiglio Nazionale delle Ricerche, Palermo, Italy.
A new Functional Behavioural Assessment Ontology (FBA-Ontology) was developed to systematically collect behavioral data and plan interventions. This validated tool enhances evidence-based practices in behavioral interventions and eHealth.
Area of Science:
- Behavioral Science
- Computer Science
- Ontology Engineering
Background:
- Functional Behavioural Assessment (FBA) is key in cognitive-behavioral approaches for identifying problem behavior determinants.
- Modern technologies can enhance the collection and sharing of behavioral data, intervention strategies, and statistical evidence.
- This facilitates the design of function-based interventions by analyzing antecedents and consequences.
Purpose of the Study:
- To describe the development and validation of a Functional Behavioural Assessment Ontology (FBA-Ontology).
- The FBA-Ontology provides a semantic representation of variables in behavioral observation.
- It aims to systematically collect behavioral data, plan treatments, and advance scientific understanding.
Main Methods:
- Concepts and relationships were deduced from a gold standard for ontology development.
- Machine-based validation (Pellet reasoner) and human-based assessment were conducted.
- Validation focused on conceptual soundness, semantic correctness, and syntactic accuracy.
Main Results:
- The Pellet reasoner confirmed the logical consistency and integrity of the FBA-Ontology without constraint violations.
- Human evaluation involved 84 participants assessing concepts, relations, and attributes via a 13-question survey (29 responses).
- Domain experts validated the ontology's concepts, attributes, and relationships as accurately representing the FBA process.
Conclusions:
- The FBA-Ontology can support evidence-based systems in behavioral interventions and eHealth.
- It enables integration with Linked Open Data for enhanced problem behavior management.
- Further research is needed to improve reproducibility and translatability in behavioral assessment.
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