A numerical assessment of the influence of Industry 4.0 technologies on the cognitive complexity of procedure-guided tasks

Lucchese, Andrea; Facchini, Francesco; Mossa, Giorgio; Mummolo, Giovanni; Sisto, Francesco Paolo

doi:10.1504/ijspm.2022.126105

Cited by 3 publications

(2 citation statements)

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“…work environments has significantly increased, primarily due to the increased volume of data requiring advanced mental processing [11], [12]. According to the research of some academics, some physiological markers are highly responsive to cognitive processing and exhibit significant fluctuations in response to changes in the task's demands.…”

Section: Introductionmentioning

confidence: 99%

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Extension of HAAS for the Management of Cognitive Load

Eesee,

Jaskó,

Eigner

et al. 2024

IEEE Access

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The rapid advancement of technology related to Industry 4.0 has brought about a paradigm shift in the way we interact with assets across various domains. This progress has led to the emergence of the concept of a Human Digital Twin (HDT), a virtual representation of an individual's cognitive, psychological, and behavioral characteristics. The HDT has demonstrated potential as a strategic tool for enhancing productivity, safety, and collaboration within the framework of Industry 5.0. In response to this challenge, this paper outlines a process for tracking human cognitive load using the galvanic skin response as a physiological marker and proposes a novel method for managing cognitive load based on the extended Human Asset Administration Shell (HAAS). The proposed HAAS framework integrates real-time data streams from wearable sensors, user skills, contextual information, task specifics, and environmental and surrounding conditions to deliver a comprehensive understanding of an individual's cognitive state, physical wellness, and skill set. Through the incorporation of skills set, physical, physiological, and psychological variables, and task parameters, the developed HAAS framework enables the identification, management, and development of individual capabilities, thereby facilitating individualized training and knowledge exchange. The applicability of the developed framework is proved by an experiments in the Operator 4.0 laboratory with the detailed HAAS parameters. INDEX TERMS Cognitive load , GSR , Human Asset Administration Shell Implementing I4.0 and incorporating human-in-the-loop control systems showed that the cognitive load on operators in

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Section: Introductionmentioning

confidence: 99%

“…A numerical simulation study suggests that the adoption of I4.0 technologies alleviates this load by decreasing the amount of information an operator needs to manage for a task, subsequently lowering cognitive effort. This increased processing capacity enables operators to handle more complex tasks involving multiple actions [12].…”

Section: Introductionmentioning

confidence: 99%

Extension of HAAS for the Management of Cognitive Load

Eesee,

Jaskó,

Eigner

et al. 2024

IEEE Access

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Building and sustaining competence in maintenance: a prescriptive training model

Di Pasquale,

Digiesi,

Ferretti

et al. 2024

IFAC-PapersOnLine

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Aplicação de métodos de investigação de causa raiz na redução de falhas humanas e gestão do conhecimento

Lima

2023

Revista Científica Multidisciplinar Núcleo do Conhecimento

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Pouco acontece na indústria sem a interferência humana, dessa forma, falhas operacionais ou acidentes têm por base o erro humano, seja por ação direta, indireta ou omissão. A investigação de falhas é a melhor forma de criar uma base de dados de conhecimento centrada em experiências e com o uso de metodologias adequadas fazer uma gestão desse conhecimento. Esse trabalho procurou discutir as formas com que falhas ocorrem e de propor metodologias para uma melhor investigação e mitigação para a sua recorrência. O trabalho fez o uso de uma análise documental e literária sobre a gestão de falhas e de falhas humanas. O trabalho apresenta uma proposta de como as falhas devem ser classificadas e tratadas para um melhor crescimento empresarial.

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A numerical assessment of the influence of Industry 4.0 technologies on the cognitive complexity of procedure-guided tasks

Cited by 3 publications

References 0 publications

Extension of HAAS for the Management of Cognitive Load

Extension of HAAS for the Management of Cognitive Load

Building and sustaining competence in maintenance: a prescriptive training model

Aplicação de métodos de investigação de causa raiz na redução de falhas humanas e gestão do conhecimento

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