Choosing Among Causal Agents in a Dynamic Environment

Abstract

Participants in a video game environment were required to make a series of decisions in which they must identify which of three targets was causing a distal explosion. The potential targets were firing weapons which could produce an explosion after a constant or variable delay, a delay that was filled or unfilled with an auditory event, and may have produced explosions probabilistically. Delays had profound effects on accuracy and decision latencies, decreasing weapon effectiveness from 100% to 50% had little effect on accuracy and modest effects on latencies (men only), filling a delay helped under very limited conditions, and varying the delay actually improved performance for longer (average) delays. Furthermore, men's decision accuracy was higher but not when prior video game experience was controlled for. In contrast, women observed their targets for much longer before making a choice regardless of prior experience. The results disconfirmed the proposed forward inference model and instead supported the operation of a backward inference model of causal choice.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 30, 2009
Accession Number
ADA505178

Entities

People

  • Michael E. Young

Organizations

  • Southern Illinois University Carbondale

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Contrast
  • Environment
  • Equations
  • Explosions
  • Firing Rate
  • Judgment
  • Mathematical Models
  • Models
  • Observation
  • Perception
  • Pilot Studies
  • Probability
  • Probability Distributions
  • Uncertainty
  • Video
  • Video Games

Fields of Study

  • Psychology

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Mathematics or Statistics
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference