Human-Computer Interchange Protocol on Decision Performance

The concept of a collaborative human-computer interchange was pro- posed almost thirty years ago. The goal of this paradigm is to design human-computer decision-making systems that think and process information at a level exceeding that of either the human or the computer alone. Technological and conceptual develop- ments have made this holistic partnership increasingly possible. Moreover, recent discussions of human-computer collaborative work have highlighted the system performance advantages of this interchange. In this paper, the notion of human-computer interchange protocols is developed and the importance of these protocols to human-computer collaboration and system performance is argued. Based on data collected in a laboratory setting, empirical support for the proposed holistic effect of human-computer interchange protocols on system performance is provided. Decision performance is significantly improved by interchange protocols that encourage human-computer interaction during the prob- lem-solving process.

[1]  J. C. R. Licklider,et al.  Man-Computer Symbiosis , 1960 .

[2]  Peter G. W. Keen,et al.  Decision support systems : an organizational perspective , 1978 .

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

[4]  David B. Paradice,et al.  A KNOWLEDGE‐BASED DSS FOR MANAGERIAL PROBLEM DIAGNOSIS , 1987 .

[5]  S. Wang,et al.  The Effects of Modes of Information Presentation on Decision-Making: A Review and Meta-Analysis , 1989, J. Manag. Inf. Syst..

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

[7]  William Stallings,et al.  Data and Computer Communications , 1985 .

[8]  D. Campbell Task Complexity: A Review and Analysis , 1988 .

[9]  Gordon B. Davis,et al.  A Framework for Research in Computer-Based Management Information Systems , 1980 .

[10]  Gerardine DeSanctis,et al.  Understanding the effectiveness of computer graphics for decision support: a cumulative experimental approach , 1986, CACM.

[11]  David M. S. Peace,et al.  The Evaluation of User Interaction with Computer-Based Management Information Systems , 1973 .

[12]  Michael J. Ginzberg,et al.  Decision Support Systems: Issues and Perspectives , 1982 .

[13]  David D. Woods,et al.  Cognitive Technologies: The Design of Joint Human-Machine Cognitive Systems , 1986, AI Mag..

[14]  A. Wisudha Design of Decision-Aiding System , 1985 .

[15]  D D Woods,et al.  Paradigms for intelligent decision support , 1986 .

[16]  John C. Henderson FINDING SYNERGY BETWEEN DECISION SUPPORT SYSTEMS AND EXPERT SYSTEMS RESEARCH , 1987 .

[17]  Andrew W. Ellis,et al.  The Psychology of Language and Communication , 1985 .

[18]  Gerardine DeSanctis,et al.  COMPUTER GRAPHICS AS DECISION AIDS: DIRECTIONS FOR RESEARCH* , 1984 .

[19]  Herbert A. Simon,et al.  The Structure of Ill Structured Problems , 1973, Artif. Intell..

[20]  Edsger W. Dijkstra,et al.  A note on two problems in connexion with graphs , 1959, Numerische Mathematik.

[21]  Ronald A. Howard,et al.  Decision analysis: practice and promise , 1988 .