Static, Dynamic, and Cognitive Fit of Exosystems for the Human Operator

Details

• Personal Author:
  Choi HJ ; Fineman R ; Jones MLH ; Kelty-Stephen D ; Parham J ; Park B-KD ; Reed MP ; Stirling L
• Description:
  Objective: To define static, dynamic, and cognitive fit and their interactions as they pertain to exosystems and to document open research needs in using these fit characteristics to inform exosystem design. Background: Initial exosystem sizing and fit evaluations are currently based on scalar anthropometric dimensions and subjective assessments. As fit depends on ongoing interactions related to task setting and user, attempts to tailor equipment have limitations when optimizing for this limited fit definition. Method: A targeted literature review was conducted to inform a conceptual framework defining three characteristics of exosystem fit: static, dynamic, and cognitive. Details are provided on the importance of differentiating fit characteristics for developing exosystems. Results: Static fit considers alignment between human and equipment and requires understanding anthropometric characteristics of target users and geometric equipment features. Dynamic fit assesses how the human and equipment move and interact with each other, with a focus on the relative alignment between the two systems. Cognitive fit considers the stages of human-information processing, including somatosensation, executive function, and motor selection. Human cognitive capabilities should remain available to process task- and stimulus-related information in the presence of an exosystem. Dynamic and cognitive fit are operationalized in a task-specific manner, while static fit can be considered for predefined postures. Conclusion: A deeper understanding of how an exosystem fits an individual is needed to ensure good human-system performance. Development of methods for evaluating different fit characteristics is necessary. Application: Methods are presented to inform exosystem evaluation across physical and cognitive characteristics. [Description provided by NIOSH]
• Subjects:
  Musculoskeletal System Nervous System Occupational Health Personal Protective Equipment Safety
• Keywords:
  Anthropometrical Systems Anthropometry Author Keywords: Exoskeleton Cognitive Function Executive Function Exoskeletons Fit Testing Human Factors Engineering Posture Range Of Motion Somatosensation Task Performance

  More +
• ISSN:
  0018-7208
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Iowa ; Massachusetts ; Michigan ; OSHA Region 1 ; OSHA Region 5 ; OSHA Region 7
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  424-440
• Volume:
  62
• Issue:
  3
• NIOSHTIC Number:
  nn:20059108
• Citation:
  Hum Factors 2020 May; 62(3):424-440
• Contact Point Address:
  Leia Stirling, Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, USA
• Email:
  leias@umich.edu
• Federal Fiscal Year:
  2020
• Performing Organization:
  University of Michigan, Ann Arbor
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Human Factors
• End Date:
  20280630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:8bb7897eb4ac680b0a40e08d6da8eab7845620271cb25702e8950fe5222af4236ecf7865a46020ca2a0005dff001ef96910162ee510b50890a209b4588343969
• Download URL:
  https://stacks.cdc.gov/view/cdc/223423/cdc_223423_DS1.pdf
• File Type:
  [PDF - 786.94 KB ]