Guidelines for Collecting Laboratory Speech Data

Abstract

Communication is at the forefront of team research and is useful for providing insights on the team members cognition and emotions, and on emerging group states such as team cohesion or shared situation awareness. Further, through various analysis methods, speech communication data provide insights into how information is gathered, shared, and used by team members. The goal of this report is to document guidelines and proper procedures for how to collect speech communication data in a laboratory setting. To reach this goal, this report first highlights the considerations in terms of hardware and software that are necessary for recording, storing, transcribing, and analyzing speech data. Then, we outline procedures and best practices for how to ensure data quality and describe various analysis methods that have been used in the human-autonomy teaming studies being conducted at the US Army Combat Capabilities Development Command Army Research Laboratory. A troubleshooting section is provided that describes some common problems and potential solutions. Last, we include a use case for a human-autonomy teaming simulation study and the methods and procedures used to collect, store, and analyze speech data.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2022
Accession Number
AD1161191

Entities

People

  • Andrea S. Krausman
  • Daniel E Forster
  • Kimberly A. Pollard
  • Sean M. Mcghee
  • Shan G. Lakhmani
  • Wright L Julia

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Acoustics
  • Application Software
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automated Speech Recognition
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computers
  • Human Factors Engineering
  • Human-Machine Interaction
  • Language
  • Linguistics
  • Load Monitoring
  • Medical Personnel
  • Natural Language Processing
  • Neural Networks
  • Three Dimensional
  • Two Dimensional
  • Waveforms

Fields of Study

  • Computer science

Readers

  • Business Analytics
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Organizational Psychology.