Sep 2026· Proceedings of the 2026 European Conference on Cognitive Ergonomics· 0 citations· 29 references
TL;DR
The HPA framework is introduced, a capability-centred evaluative framework that integrates perspectives from cognitive ergonomics, work design, and human-centred AI through four dimensions: Optimisation, Retention, Expansion, and Engagement.
Abstract
Automation and AI increasingly reshape work systems beyond task execution, influencing how human capabilities are used, preserved, or transformed. Cognitive ergonomics traditionally evaluates automation through constructs such as workload, situation awareness, trust, and function allocation. While these perspectives explain important aspects of performance and interaction quality, they do not provide an integrated lens for evaluating how automation shapes human capabilities over time. This paper introduces the Human Potential in Automation (HPA) framework, a capability-centred evaluative framework that integrates perspectives from cognitive ergonomics, work design, and human-centred AI through four dimensions: Optimisation, Retention, Expansion, and Engagement. To operationalise the framework, we introduce a lightweight tool (“action cards”) to support participatory design reflection, and propose a concise 12-item companion scale to enable systematic evaluation of capability outcomes. We illustrate the framework through an exploratory multi-case study involving four industrial stakeholders in AI-supported quality control. The findings demonstrate the practical utility of the framework for identifying capability-related design considerations that extend beyond traditional performance-focused evaluation, contributing an integrative capability-centred perspective for the design and evaluation of automated work systems.
The review indicates that cobots can reduce physical workload and improve selected productivity indicators in appropriate repetitive and moderate-payload applications, while productivity effects remain highly context dependent.
Saifullahi Ibrahim Yahaya and Pramod Kumar· International Journal of Adv...· 0 citations
The rapid integration of Artificial Intelligence (AI) and automation in the aviation sector presents a critical challenge for Human Resource management: aligning workforce capabilities with technological demands while mitigating displacement anxiety. This study assessed reskilling needs and employee adaptation strategi...
Ayasal Anthony Auya· The journal of research admi...· 0 citations
Collaborative assembly systems introduce new cognitive demands for operators due to dynamic human-robot interaction, making cognitive workload (CWL) assessment important for safety, performance, and well-being. Existing CWL assessment methods are often poorly suited to industrial practice, as they are retrospective, in...
A. Mezentseva, F. Fraboni, Soto Gilbert Kiplangat et al.· Ergonomics· 0 citations
This paper synthesizes a tailored architecture designed to address the complexities of human-machine interaction (HMI) in dynamic environments by combining the theoretical foundations of cognitive architectures with principles from Human Factors Ergonomics (HFE).
A. Lénat, Olivier Cheminat, Damien Chablat et al.· HCII· 0 citations
The integration of Artificial Intelligence (AI) in human factors and ergonomics (HFE) has introduced transformative tools for enhancing workplace safety, optimizing ergonomic design, and reducing injury risks. This literature review surveys AI-based products currently used in HFE, focusing on their roles in ergonomic r...
Real-time AI systems that modify a worker’s vocal, physical, or behavioural presentation during live interactions are entering service-work infrastructure at scale. Existing cognitive-ergonomic frames — automation, augmentation, human-in-the-loop supervisory control — handle this class of intervention poorly because th...
C. Spera· Proceedings of the 2026 Euro...· 0 citations
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