Mixed-Initiative Human-Robot Interaction: Definition, Taxonomy, and Survey

Abstract

The objectives of this article are: 1) to present a taxonomy for mixed-initiative human-robot interaction and 2) to survey its state of practice through the examination of past research along each taxonomical dimension. The paper starts with some definitions of mixed-initiative interaction (MII) from the perspective of human-computer interaction (HCI) to introduce the basic concepts of MII. We then synthesize these definitions to the robotic context for mixed-initiative humanrobot teams. A taxonomy for mixed-initiative in human-robot interaction is then presented. The goal of the taxonomy is to inform the design of mixed-initiative human-robot systems by identifying key elements of these systems. The state of practice of mixed-initiative human-robot interaction is then surveyed and examined along each taxonomical dimension.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2015
Accession Number
ADA620347

Entities

People

  • Ronald C. Arkin
  • Shu Jiang

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognitive Systems Engineering
  • Collision Avoidance
  • Computers
  • Disasters
  • Emergencies
  • First Responders
  • Health Care
  • Human-Computer Interaction
  • Human-Robot Interaction
  • Intelligent Systems
  • Model Predictive Control
  • Navigation
  • Psychology
  • Robotics
  • Robots
  • Taxonomy

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Instructional Design and Training Evaluation.

Technology Areas

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