Abstract
Accelerating the cognitive expertise of professionals is a critical challenge for many organizations. This paper reports a collaborative, longitudinal, academic practitioner project which aimed to elicit, document, and accelerate the cognitive
expertise of engineering professionals working with the manufacture and management of petroleum additives. Twenty-five engineering experts were trained by three academic psychologists to use applied cognitive task analysis (ACTA) interview techniques to document the cognition of their expert peers. Results had high face validity for practitioners who elicited hot/
sensory-based cognition, a number of perceptual skills and mental models, highlighting undocumented context specific expertise. We conclude from a peer review of findings, combined with experienced CTA analysts that ACTA techniques can be advanced in context by the explicit recognition and development of socio-cognitive competence/insight.
expertise of engineering professionals working with the manufacture and management of petroleum additives. Twenty-five engineering experts were trained by three academic psychologists to use applied cognitive task analysis (ACTA) interview techniques to document the cognition of their expert peers. Results had high face validity for practitioners who elicited hot/
sensory-based cognition, a number of perceptual skills and mental models, highlighting undocumented context specific expertise. We conclude from a peer review of findings, combined with experienced CTA analysts that ACTA techniques can be advanced in context by the explicit recognition and development of socio-cognitive competence/insight.
Original language | English |
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Pages (from-to) | 555-563 |
Number of pages | 9 |
Journal | Cognition Technology and Work |
Volume | 20 |
Issue number | 4 |
Early online date | 4 Jul 2018 |
DOIs | |
Publication status | Published - 15 Nov 2018 |
Keywords
- Cognitive task analysis
- Socio-cognitive insight
- Training
ASJC Scopus subject areas
- Philosophy
- Human-Computer Interaction
- Computer Science Applications