Applied use of cardiac and respiration measures: practical considerations and precautions.
Cardiac and respiratory measures can be successfully applied to "real world" environments and these measures have certain advantages over both performance and subjective measures that are typically used to monitor operator state and workload. However, because of large differences between laboratory and "real world" environments one must utilize caution in directly applying laboratory data and theories to the day-to-day world environment. While most workers are highly over-trained in their jobs, laboratory subjects are often under-trained in the cognitive tasks that are used to study cognitive activity. It is possible that a substantial portion of experimental effects reported in laboratory studies is due to learning effects. In addition, relatively small changes in cardiac and respiration measures are reported to experimental manipulations in the laboratory while a much larger range of changes are reported in "real world" environments. These differences highlight questions about laboratory/real world similarities and the need to develop a database of actual work environment data. A third area of concern is the relative lack of control over the experimental situation that is the case with most applied research. The possible confounding of changes due to cognitive and physical activity levels is a major concern and strategies for overcoming these problems are suggested. The potential for valuable contributions by cardiac and respiratory measures to applied research make overcoming these difficulties worthwhile.
Wilson
G F
GF
Armstrong Laboratory, United States Air Force, Wright-Patterson AFB, OH 45433-6573.
D001143:Arousal / Q000502:physiology*; D001288:Attention / Q000502:physiology*; D001341:Autonomic Nervous System / Q000502:physiology; D004562:Electrocardiography / Q000295:instrumentation; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D011603:Psychophysiology; D015203:Reproducibility of Results; D012119:Respiration / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted; D012931:Social Environment; D016526:Workload