Embodied Interactions in Human-Machine Decision Making for Situation Awareness Enhancement Systems

Abstract

The research objective of this proposal is to test the hypothesis that attention, action intention and physical performance (embodied interaction), such as gesturing, can enhance visual processing, leading to better solutions for spatial optimization problems. I will develop a framework to determine which body expressions best support complex decision making in human-computer mixed systems. The technical approaches adopted in my research involve rigorous engineering-based methods for directly integrating focus of attention with embodied interfaces, and decision making techniques to assess the value of feedback. These methods include systematic characterization of gestures during complex problem solving.

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Document Details

Document Type
Technical Report
Publication Date
Jun 09, 2016
Accession Number
AD1011248

Entities

People

  • Juan Pablo Wachs

Organizations

  • Purdue University

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Artificial Intelligence Software
  • Bayesian Networks
  • Cognition
  • Computer Vision
  • Computers
  • Health Services
  • Hidden Markov Models
  • Human-Machine Interaction
  • Information Science
  • Intellectual Property
  • Machine Learning
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Recognition
  • Supervised Machine Learning

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Systems Analysis and Design