What Does Computer-Mediated Control of a Thermal-Hydraulic System Have to Do With Moving Your Jaw to Speak? Evidence for Synergies in Process Control

Coordination phenomena can take many diverse forms, but ecological psychologists have focused primarily on understanding human motor control. In this article we report an experiment on human-machine coordination that was designed to replicate and extend an early experiment on human jaw movement during speech production that provided initial evidence of synergies. Participants controlled a thermal-hydraulic process simulation for about 1 hr per weekday for approximately 1 month. Half of the participants used a human-computer interface that presented predominantly lower level physical (P) information, whereas the other half used an interface that presented higher level functional (P+F) information as well. During the last block of trials, local perturbations were introduced by increasing the time constant of a particular component per trial by a factor of 20. The component perturbations had less impact on the performance of the P+F participants than the P, and this effect was mostly localized to components that had alternative degrees of freedom for control. Most important, the P+F participants exhibited more evidence of higher level control than the P, providing some initial evidence for synergies in process control. These findings suggest that it may be possible to develop a general unified theory of coordination that subsumes motor control and human-machine interaction as special cases.

[1]  Gordon Pask,et al.  Learning Strategies and Individual Competence. , 1972 .

[2]  A. Opstal Dynamic Patterns: The Self-Organization of Brain and Behavior , 1995 .

[3]  Kim J. Vicente,et al.  Designing for Adaptation to Novelty and Change: Functional Information, Emergent Feature Graphics, and Higher-Level Control , 2002, Hum. Factors.

[4]  John R. Hajdukiewicz Adapting to Change in Dynamic Worlds, a Study of Higher-level Control and Key Success Factors in a Process Control Microworld , 2001 .

[5]  Jens Rasmussen,et al.  The role of hierarchical knowledge representation in decisionmaking and system management , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[6]  Kim J. Vicente,et al.  The Earth is spherical (p < 0.05): alternative methods of statistical inference , 2000 .

[7]  Kim J. Vicente,et al.  Toward theory-driven, quantitative performance measurement in ergonomics science: The abstraction hierarchy as a framework for data analysis , 2002 .

[8]  K. J. Vicente,et al.  Cognitive Work Analysis: Toward Safe, Productive, and Healthy Computer-Based Work , 1999 .

[9]  J. Kelso,et al.  Functionally specific articulatory cooperation following jaw perturbations during speech: evidence for coordinative structures. , 1984, Journal of experimental psychology. Human perception and performance.

[10]  K J Vicente,et al.  Making the most of ecological interface design: the role of individual differences. , 2000, Applied ergonomics.

[11]  Geoffrey R. Loftus,et al.  A picture is worth a thousandp values: On the irrelevance of hypothesis testing in the microcomputer age , 1993 .

[12]  K. J. Vicente,et al.  The Ecology of Human-Machine Systems II: Mediating 'Direct Perception' in Complex Work Domains , 1990 .

[13]  Kim J. Vicente,et al.  Making the abstraction hierarchy concrete , 1994, Int. J. Hum. Comput. Stud..

[14]  John R. Hajdukiewicz Adapting to change in complex work environments , 2000, CHI Extended Abstracts.

[15]  Gavan Lintern,et al.  Dynamic patterns: The self-organization of brain and behavior , 1997, Complex.

[16]  Kim J. Vicente,et al.  Inducing effective operator control through ecological interface design , 1996, Int. J. Hum. Comput. Stud..

[17]  R. Baron,et al.  Effects of Social and Physical Variables on Between-Person Visual Coordination , 1994 .

[18]  N. A. Bernstein Dexterity and Its Development , 1996 .