The role of cognitive ergonomics in enhancing work efficiency and reducing workload among older employees: An EEG and HRV analysis.

Background: The ageing workforce is increasing in today's work environments, bringing unique challenges related to productivity and workload management especially in adapting into modern technology and high cognitive workload demands. The demands of modern work systems often worsen workload levels a...

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Publicado en:Work Vol. 82; no. 2; pp. 397 - 413
Autores principales: Ismail, Muhammad Nazirul Iszat, Abd Rahman, Nurul Izzah, Ahmad, Siti Azfanizam
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Sage Publications Inc. Oct2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2025
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      pub: Sage Publications Inc.
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        atl: The role of cognitive ergonomics in enhancing work efficiency and reducing workload among older employees: An EEG and HRV analysis.
      aug:
        au:
          Ismail, Muhammad Nazirul Iszat
          Abd Rahman, Nurul Izzah
          Ahmad, Siti Azfanizam
        affil: Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
      sug:
        subj:
          White Collar Workers Psychosocial Factors
          White Collar Workers Psychosocial Factors
          Employment of Older Workers
          Ergonomics
          Cognition
          Technology
          Job Performance Evaluation
          Workload Measurement
          Human
          Malaysia
          Funding Source
          Aging
          Workforce
          Task Performance and Analysis
          Heart Rate
          Heart Rate Variability
          Electroencephalography
          Productivity
          Stress, Physiological
          Middle Age
          Aged
          Administrative Personnel Psychosocial Factors
          Data Analysis Software
          Wilcoxon Signed Rank Test
          Pearson's Correlation Coefficient
          Descriptive Statistics
          Clinical Assessment Tools
          Middle Aged: 45-64 years
          Aged: 65+ years
      ab: Background: The ageing workforce is increasing in today's work environments, bringing unique challenges related to productivity and workload management especially in adapting into modern technology and high cognitive workload demands. The demands of modern work systems often worsen workload levels among ageing office workers, potentially affecting their performance and well-being. Objectives: This study explores the potential of Cognitive Ergonomic-Driven Technology (CEDT) as an intervention to mitigate workload and enhance work performance in ageing office workers. Method: The experiment involved the application of CEDT during task performance for both managerial and supporting staff. Performance metrics, Heart Rate measures, electroencephalogram (EEG) based Beta-Alpha Ratio (BAR)-measuring cognitive workload, and NASA Task Load Index (TLX)-measuring overall workload, all workload metrics were measured before and after the intervention. BAR is measuring the thirty participants involved in this study, evenly split between managerial and supporting staff. Result: The results demonstrate significant improvements in performance scores (PS) and reductions in strain indicators such as heart rate and BAR following the CEDT intervention. Correlation analysis revealed that effort demand (r = −0.542, p < 0.05) was a key factor influencing arithmetic task (task II) outcomes for managerial staff, while performance demand (r = −0.718, p < 0.01) was more critical for supporting staff in typing task (task I). Conclusion: These findings indicate that CEDT can enhance work performance and reduce workload among ageing workers, with varying impacts depending on the job role. Practical implementation may face challenges, including potential resistance to technology and cost implications, especially among ageing workers. Future research should explore long-term effects, particularly regarding cognitive fatigue and adaption over time, as well as the customization of CEDT for different job roles.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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