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Related Experiment Videos

Observing behavior in a computer game.

D A Case1, B O Ploog, E Fantino

  • 1Department of Psychology, University of California, San Diego, La Jolla 92093-0109.

Journal of the Experimental Analysis of Behavior
|November 1, 1990
PubMed
Summary
This summary is machine-generated.

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This study found that information about potential rewards, like destroying Klingon invaders in a game, acts as a conditioned reinforcer for observing behavior. This suggests that learning to anticipate positive outcomes, not just reducing uncertainty, drives this behavior.

Area of Science:

  • Behavioral Psychology
  • Human-Computer Interaction
  • Cognitive Science

Background:

  • Observing behavior, crucial for learning and decision-making, is often studied using animal models.
  • Previous research suggests observing responses are maintained by either reducing uncertainty or by conditioned reinforcement.

Purpose of the Study:

  • To investigate the role of conditioned reinforcement versus uncertainty reduction in maintaining observing behavior.
  • To examine how information about potential reinforcers influences observing responses in a naturalistic setting.

Main Methods:

  • College students played a modified version of the computer game "Star Trek."
  • Reinforcement (destroying Klingons) was delivered on a mixed variable-time schedule, independent of player responses.

Related Experiment Videos

  • Observing responses produced stimuli correlated or uncorrelated with reinforcement availability.
  • Main Results:

    • Information about potential positive outcomes (S+) was more reinforcing than information about negative outcomes (S-).
    • Observing responses were maintained when the information provided could be used to optimize other reinforcement opportunities.
    • Observing behavior was better maintained by "bad news" (S-) when it offered strategic advantages.

    Conclusions:

    • Findings support the conditioned reinforcement hypothesis over the uncertainty-reduction hypothesis for observing behavior.
    • This research extends the study of observing behavior to a more naturalistic, game-based environment.
    • The study highlights the importance of intrinsic value and strategic information in reinforcement learning.