Cognitive Technologies: The Design of Joint Human-Machine Cognitive Systems

This article explores the implications of one type of cognitive technology, techniques and concepts to develop joint human-machine cognitive systems, for the application of computational technology by examining the joint cognitive system implicit in a hypothetical computer consultant that outputs some form of problem solution. This analysis reveals some of the problems can occur in cognitive system design-e.g., machine control of the interaction, the danger of a responsibility-authority double-bind, and the potentially difficult and unsupported task of filtering poor machine solutions. The result is a challenge for applied cognitive psychology to provide models, data, and techniques to help designers build an effective combination between the human and machine elements of a joint cognitive system.

[1]  T. R. Featheringham,et al.  On systemic problem solving and the error of the third kind , 1974 .

[2]  David D. Woods,et al.  Systems with Human Monitors: A Signal Detection Analysis , 1985, Hum. Comput. Interact..

[3]  Donald A. Norman.  New views of information processing: implications for intelligent decision support systems , 1986 .

[4]  Thomas B Sheridan,et al.  Research and Modeling of Supervisory Control Behavior. Report of a Workshop , 1984 .

[5]  Patrick Henry Winston,et al.  The Engineer's Apprentice , 1986 .

[6]  Earl L. Wiener,et al.  Beyond the Sterile Cockpit , 1985 .

[7]  James L. Alty,et al.  Expert Systems: An Alternative Paradigm , 1984, Int. J. Man Mach. Stud..

[8]  Allen Newell,et al.  The psychology of human-computer interaction , 1983 .

[9]  A. Macrae.  Book Review: International Journal of Man-Machine Studies , 1970 .

[10]  Arye R. Ephrath,et al.  Monitoring vs. Man-in-the-Loop Detection of Aircraft Control Failures , 1981 .

[11]  Perry L. Miller,et al.  ATTENDING: Critiquing a Physician's Management Plan , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[12]  D. Norman,et al.  User Centered System Design: New Perspectives on Human-Computer Interaction , 1988 .

[13]  James D. Hollan,et al.  Direct Manipulation Interfaces , 1985, Hum. Comput. Interact..

[14]  Peter Jackson,et al.  On the Application of Rule-Based Techniques to the Design of Advice-Giving Systems , 1984, Int. J. Man Mach. Stud..

[15]  James L. Alty,et al.  Face-to-face guidance of university computer users—II. Characterizing advisory interactions , 1980 .

[16]  A. Happ,et al.  An Investigation of Health Complaints and Job Stress in Video Display Operations , 1981, Human factors.

[17]  David Hawkins,et al.  An Analysis of Expert Thinking , 1983, Int. J. Man Mach. Stud..

[18]  Julia Hirschberg,et al.  User Participation in the Reasoning Processes of Expert Systems , 1982, AAAI.

[19]  Jon A. Turner,et al.  Computer mediated work: the interplay between technology and structured jobs , 1984, CACM.

[20]  J. Alty,et al.  Face-to-face guidance of university computer users—I. A study of advisory services , 1980 .

[21]  Edward H. Shortliffe,et al.  Adapting a Consultation System to Critique User Plans , 1983, Int. J. Man Mach. Stud..

[22]  D. Servan-Schreiber,et al.  Knowledge engineering: a daily activity on a hospital ward. , 1983, Computers and biomedical research, an international journal.

[23]  David Woods,et al.  SOME RESULTS ON OPERATOR PERFORMANCE IN EMERGENCY EVENTS , 1984 .

[24]  Andsydney M. Finegold.  The Engineer''s apprentice , 1984 .

[25]  Robin M. Hogarth,et al.  A Theory of Diagnostic Inference: Judging Causality. , 1983 .

[26]  Erik Hollnagel,et al.  Cognitive Systems Engineering: New Wine in New Bottles , 1983, Int. J. Man Mach. Stud..