Human-Robot Teams Informed by Human Performance Moderator Functions

Abstract

This research resulted in several key results. These results are highlighted here and discussed in more detail in the following sections. Teaming scenarios were modeled using IMPRINT Pro in order to predict the impact of various HPMFs on the teaming relationship. The developed human-human and human-robot models represented teaming relationships in which a) one team member was guided through a series of task steps and b) collaborative teams participate in tasks incorporating joint decision making for environments involving higher levels of uncertainty. These models provide predictions of human performance when working with a human or robot partner, and how performance differs based on the particular teaming partner. Model evaluations were conducted with single and multiple HPMFs and informed the validation evaluation designs. Additionally, the modeling results can inform human-robot teaming allocations.

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Document Details

Document Type
Technical Report
Publication Date
Aug 29, 2012
Accession Number
ADA583341

Entities

People

  • Julie A. Adams
  • Scott A. Deloach

Organizations

  • Vanderbilt University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Cognition
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Control Systems
  • Fire Extinguishers
  • First Responders
  • Health Services
  • Heart Rate
  • Human Behavior
  • Human Factors Engineering
  • Human-Robot Interaction
  • Medical Personnel
  • Mobile Phones
  • Multiagent Systems
  • Psychology
  • Robots
  • Task Performance And Analysis

Readers

  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • Autonomy
  • Autonomy - Human-Robot Interaction