Fostering Positive Team Behaviors in Human-Machine Teams through Emotion Processing: Adapting to the Operator's State

Abstract

FOSTERING POSITIVE TEAM BEHAVIORS IN HUMAN-MACHINE TEAMS THROUGH EMOTION PROCESSING was a collaborative project between RMIT and AFRL/RH. The focus was on identifying features in human voice data and facial images to inform algorithms that can detect and predict emotions, for the purpose of increasing human trust in human-machine teaming applications. This project developed a low-cost, real-time emotion recognition system and a deep neural network model to predict trust at low and high levels. The contributions of this research include 3 conference papers, 1 journal paper, a new research databased created at AFRL/RH, and a new research project agreement between RMIT and Australia's DSTG.

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Document Details

Document Type
Technical Report
Publication Date
Jul 24, 2019
Accession Number
AD1096588

Entities

People

  • April R. Fallon
  • April Rose Panganiban
  • Margaret Lech
  • Melissa Stolar
  • Michael Skinner
  • Robert Bolia

Organizations

  • RMIT University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Agreements
  • Air Force Research Laboratories
  • Artificial Intelligence Software
  • Australia
  • Classification
  • Communication Systems
  • Dimensionality Reduction
  • Engineering
  • Human-Machine Systems
  • Image Classification
  • Learning
  • Machine Learning
  • Neural Networks
  • Recognition
  • Signal Processing

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Organizational Process Management (OPM).
  • Psychological Intervention/Treatment for Stress, Anxiety, PTSD, and Related Emotional and Cognitive Health Symptoms.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks