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Interaction design theory.

Enrico Coiera1

  • 1Centre for Health Informatics, University of New South Wales, Sydney, NSW 2055, Australia. ewc@pobox.com

International Journal of Medical Informatics
|June 18, 2003
PubMed
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This study introduces a framework for designing human-computer interactions in organizations. It uses interaction equilibria to predict the impact of new technologies on group behavior, aiding in technological adoption predictions.

Area of Science:

  • Human-Computer Interaction
  • Organizational Behavior
  • Information Systems

Background:

  • Designing interactions between human and computational agents is crucial for organizational efficiency.
  • Technological systems mediate these interactions, influencing organizational dynamics.

Purpose of the Study:

  • To present a framework for designing interactions between human and computational agents.
  • To analyze the impact of new interactions within organizational settings.

Main Methods:

  • Viewing interaction design from the perspective of human and computational agents.
  • Utilizing the concept of interaction equilibria to predict impacts.
  • Applying economic models like supply and demand curves for technological adoption analysis.

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Main Results:

  • Understanding individual agent resource limitations allows for impact analysis of new interactions.
  • Interaction equilibria can predict the effects of new information and communication technologies.
  • Economic principles can inform qualitative and quantitative predictions of technology adoption.

Conclusions:

  • A combined approach, considering technology, psychology, and social factors, explains user technology decisions.
  • Robust predictions of group interaction are possible without knowing individual decision criteria.
  • The framework facilitates understanding and predicting organizational responses to technological change.