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International Journal of Advance Scientific Research SCIENTIFIC IDEAS. INTERNATIONAL PERSPECTIVES.
ISSN 2750-1396 12 issues per year · Monthly
Crossref DOI: 10.37547/ijasr
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Articles Published:

Cognitive Ergonomics In Sustainable Systems: Bridging The Gap Between Visual Perception Theory And Real-Time Carbon Emission Monitoring

Vol. 5 No. 09 (2025): Volume 05 Issue 09 Pages 46-56
Authors
  • Dr. Gennarik V. Ostrovenko
    Institute of Smart Energy Systems & Real-Time Monitoring, Tomsk Polytechnic University, Tomsk, Russia
DOI 10.37547/ ↗
RESEARCH OVERVIEW

Abstract

Background: As global industries pivot toward carbon neutrality, the volume of environmental data generated by Cyber-Physical Systems (CPS) has grown exponentially. However, the efficacy of this data is frequently compromised by poor visual presentation, leading to high cognitive load and suboptimal decision-making.

Methods: This study employs a multidisciplinary review, synthesizing literature from cognitive psychology, visual perception science, and environmental engineering. We analyze existing frameworks for carbon emission monitoring in pre-fabricated construction, smart logistics, and residential energy systems against established principles of visual data communication, such as aspect ratio bias and the "curse of knowledge."

Results: The analysis indicates that traditional engineering dashboards often prioritize data completeness over human intelligibility. We find that simplified visual encodings, optimized for pre-attentive processing, significantly correlate with improved user reaction times in energy management scenarios. Furthermore, the integration of AI-driven data repair techniques and knowledge graphs enhances the reliability of the underlying data presented.

Conclusion: We conclude that sustainable systems must adopt "Cognitive Ergonomics" as a core design principle. By aligning dashboard design with human perceptual limitations, organizations can transform raw emission data into actionable insights, thereby accelerating the transition to sustainable energy paradigms.

Keywords

  • Cognitive Ergonomics
  • Carbon Emission Monitoring
  • visual perception
  • Data Visualization
SOURCES & CITATIONS

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