Transformative Learning: Patterns of Psychophysiologic Response and Technology-Enabled Learning and Intervention Systems

Abstract

This research project examines arousal patterns associated with physiological craving and stress. It is hypothesized that biometric data (gathered from wearable sensors) can identify and predict the arousal patterns associated with tobacco use behavior, and that patterns of cue reactivity will allow the researchers to differentiate between psychological craving and physiological arousal in smokers. Four groups of participants (non-smokers, former smokers, current smokers, deprived smokers) participated in both naturalistic and experimental sessions, including the following: (a) a 3-day naturalistic baseline, (b) a standardized elicited stress activity, and (c) a cue exposure presentation consisting of 12 validated video clips to elicit various types of arousal. Participants rated their perceived craving and arousal levels following exposure to a set of film clips. Multivariate analyses and neural networking will be used to determine psychological and physiological differences among the groups.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2008
Accession Number
ADA491080

Entities

People

  • Leigh W. Jerome
  • Patricia J. Jordan
  • Rebekah Rodericks

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Behavioral Medicine
  • Biomedical Research
  • Biometric Security
  • Data Analysis
  • Department Of Defense
  • Education
  • Electronic Mail
  • Employment
  • Health
  • Information Science
  • Multivariate Analysis
  • Pilot Studies
  • Public Health
  • Security
  • Statistics
  • Training
  • United States

Fields of Study

  • Psychology

Readers

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  • Psychological Intervention/Treatment for Stress, Anxiety, PTSD, and Related Emotional and Cognitive Health Symptoms.

Technology Areas

  • AI & ML