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RESEARCH

Recognized by Ergonomists

Over the past decade, technology innovations of Saturn Ergonomics have established a following in the ergonomics community. Analysis models authored or co-authored by Murray Gibson have been included in presentations and panel discussions at national and international professional conferences. 

  • AEC (Applied Ergonomics Conference)

  • IEA (International Ergonomics Association)

  • ACE (Association of Canadian Ergonomists)

Image showing locations of professional conferences arund the world where Saturn Ergonomics models have been presented

Science-based Technology

The scientific basis of our analysis technology includes population strength research, published strength-prediction equations, and published psychophysics models for evaluation of upper extremity & materials handling tasks. Below is a partial list of scientific research incorporated into our analysis technology.

 

  • RCRA, Recommended Cumulative Recovery Allowance

  • MAE-IS, Maximum Acceptable Effort for Isolated Subtasks

  • LaDelfa Arm Force Equations

  • Liberty Mutual Manual Materials Handling Research

 

Recent surveys of assessment tools used by ergonomists speak to the relevance of our analysis technology. A recent survey ergonomists in the US, Canada, and Australia (Fanshawe College, 2024) on tool selection & use for multi-task analysis found that 59% of respondents apply the RCRA, Recommended Recovery Allowance (Gibson & Potvin, 2016). The RCRA was reported as the second most-used tool. An earlier survey of Canadian ergonomics professionals (Beliveau et al, 2022) reported psychophysical materials handling and upper extremity data being among the most-used tools by ACE (Association of Canadian Ergonomists) respondents, at 99% and 46% respectively.

Analysis technologies developed by Saturn Ergonomics have a strong foundation in the scientific literature, leveraging models used by ergonomists in industry. Through software development and application technology innovation, we strive to make multi-task analysis more practical and user-friendly.

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