Three paradigms for the study of multi-person and human-machine interaction

Daniel E. Snyder, A. Rodney Wellens, Clifford E. Brown, Michael D. McNeese

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Three experimental paradigms used to study human-to-human and human-to-intelligent-machine relationships within a distributed decision-making environment are briefly described. Each approach focuses on different aspects of fusing multiple sources of knowledge into a coherent decision-making system. The first approach uses a computer-based team resource allocation problem to study dynamic team decision-making. The second approach uses the communication, command, and control (C3) interactive task for identifying emerging situations to study the effect of electronic media on group cohesion, situation awareness and task performance. The third approach, cooperative systems methodology, proposes a methodology for integrating human decision-making with cooperative expert systems.

Original languageEnglish (US)
Pages (from-to)480-481
Number of pages2
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume2
StatePublished - 1989

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Decision making
Expert systems
Resource allocation
Communication

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Control and Systems Engineering

Cite this

Snyder, Daniel E. ; Wellens, A. Rodney ; Brown, Clifford E. ; McNeese, Michael D. / Three paradigms for the study of multi-person and human-machine interaction. In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. 1989 ; Vol. 2. pp. 480-481.
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Three paradigms for the study of multi-person and human-machine interaction. / Snyder, Daniel E.; Wellens, A. Rodney; Brown, Clifford E.; McNeese, Michael D.

In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Vol. 2, 1989, p. 480-481.

Research output: Contribution to journalArticle

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