Analysis of Human Communication during Assembly Tasks.

Abstract

This paper studies human-to-human interaction in an attempt to shed some light on the kinds of human-to-machine interaction that will be necessary for intelligent robot learning of assembly tasks. Experiments were performed in which an expert guided an apprentice through a complex assembly task using spoken language but no visual communication. An analysis of the dialog reveals that certain protocols and conventions facilitate communication, and that communication breaks down when these protocols are not observed. Five types of protocols were observed: focusing, validators, referencing, descriptors and dialog structure. The implications of these results for human-robot communication are discussed.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1986
Accession Number
ADA171843

Entities

People

  • Gerald J. Agin
  • K. S. Barber

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Analogies
  • Assembly
  • Assembly Lines
  • Computer Programming
  • Computers
  • Data Displays
  • Electrical Engineering
  • Engineering
  • Identification
  • Instructors
  • Language
  • Materials
  • Orientation (Direction)
  • Perception
  • Public Policy
  • Students
  • Verification

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Artificial Intelligence
  • Computational Linguistics

Technology Areas

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