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Human centered systems start with social dynamics and arrive at ontology

Bibliographic Data

ID21270852
AuthorsBrenda O’Neill (0000-0002-6471-1413, South East Technological University, corresponding author), Larry Stapleton (0000-0002-4845-7566, South East Technological University), Peter J Carew (0000-0002-5054-7878, South East Technological University)
Year2025
Volume40
Issue8
Pages5981-5998
Publication date2025-06-04
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAI & Society (JOURNAL)
Journal identifiersISSN: 0951-5666 • E-ISSN: 1435-5655
PublisherSpringer Nature (PUBLISHER • SG)
DOI10.1007/s00146-025-02396-6
OpenAlexW4411022963
LanguageEN
References cited34

The purpose of this research is to support and nurture tacit knowledge whilst simultaneously leading to the development of machine-based intelligent systems which incorporate machine readable knowledge for the benefit of society. This paper starts with an introduction to the persistent power struggle between human and technology and shines a light on Professor Michael Cooley’s involvement with the Lucas Plan in the 1970s and his PhD work which focused on the transition from manual draftsmanship to Computer Aided Design in engineering. A research lab is identified as a ‘complex adaptive system’ and forms the basis of a longitudinal case study on the Human Centered bottom-up approach to digitisation of cultural heritage. Components required to support and nurture the growth of a Participation Action Research lab are identified. The novel ‘ENRICHER’ method embodies human centeredness and is operationalized, tested, evaluated and findings discussed. Examples of emergence are also discussed. A metric of the ENRICHER method initially identified where the lab did not fully meet all the methods 8 points. Subsequent actions adjusted the holonic lens focus to metadata and the ongoing work on the creation of a cataloging tool for the librarians. The use of XML technologies integrates the work into a larger model of intelligence. It positions the work on the semantic web technology stack and opens up the pathway to ontology generation and development and management of large language models. The ENRICHER method is a way of developing human–machine symbiotics that also incorporate AI e.g. transcription, metadata generation

Data science · Epistemology · Human–computer interaction · Knowledge management · Ontology · Performing arts · Social dynamics · Sociology · Visual arts · World Wide Web · Complex Systems and Decision Making · Computer Science · Artificial Intelligence

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