November 04 - 06, 2019
Norris Conference Center - City Centre Location, Houston, TX
Camille Peres, Associate Professor, Environmental and Occupational Health at Texas A&M University

Camille Peres


Associate Professor, Environmental and Occupational Health
Texas A&M University

Check out the incredible speaker line-up to see who will be joining Camille.

Download The Latest Agenda

Pre-Conference Workshops: November 4

Monday, November 4th, 2019


12:15 PM Workshop H: Human Factors and Procedure Management: What reliably effects procedural adherence AND what can you do about it?

Dr. S. Camille Peres will share state of the art research identifying variables that reliably influence procedural adherence. She will talk about how to implement effective procedural designs and practices for safe and effective operations.
• Learn why workers’ experience level and task frequency strongly influences procedural adherence
• Learn current “best practices” for safety and hazard statement designs
• Understand how Operational Excellence can be compromised when procedural systems do not support workers’ performance
• Get hands on experience with writing procedures

Main Conference Day 1: November 5

Tuesday, November 5th, 2019


1:45 PM Effects of Time Pressure & Experience on Procedural Performance: Can we use Machine Learning to Predict this?

Well-written procedures can be an integral part of safe operation, managing
risks, and continuous improvement in the high-risk settings of process industries.
Although the importance of procedures is recognized by all industries in general,
significant incidents have occurred in past due to procedural systems not being
designed to support human performance. This presentation will share results
from a series of studies investigating the effects of time pressure and experience
on procedural performance. Further, findings regarding how machine learning
may be able to facilitate the translation of Human Factors research to
specific design criteria for procedures and procedural systems.
Potential applications of these findings will be discussed.