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Expert System Assessment of Work-Related Musculoskeletal Disorders for Video Display Terminal Users

  • Seyed Mahdi Shavarani*
  • , Orhan Korhan
  • *Corresponding author for this work
  • Eastern Mediterranean University

Research output: Contribution to journalArticlepeer-review

Abstract

Using computers for long durations and repetitively lead to costly health problems and reduced productivity among computer users. One of the best preventive actions is proved to be ergonomic interventions. However consulting ergonomics experts would be very expensive especially due to the fact that such interventions should be repeated periodically. Expert systems (ES) can be the solution for dealing with these problems. A rule-based expert system to analyze and evaluate the working conditions of computer users by ergonomics standards was designed. The knowledge base of this expert system was acquired from OSHA’s and Washington state ergonomic standards. Knowledge base is the source of information used to build an expert system. CLIPS was used to construct this ES. Risk factors which lead to formation of WRMSDs were identified; the computer user was aimed to be notified about the existence of WRMSDs hazards in the workplace, and was guided to avoid WRMSDs risk factors. After having this ES available to 100 computer users and analyzing the results, the effectiveness of the constructed ES was validated through comparing the ES outcome with OSHA standards. The significance of this study is to help the organizations to overcome costly health damages and productivity-reduction and making expert instructions available to everyone.

Original languageEnglish
Pages (from-to)205-216
Number of pages12
JournalApplied Research in Quality of Life
Volume10
Issue number2
Early online date8 Mar 2014
DOIs
Publication statusPublished - 1 Jun 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

Keywords

  • CLIPS
  • Computer use
  • Ergonomic intervention
  • Occupational injuries intelligent diagnosis

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