Survey Measures for Evaluation of Cognitive Assistants

Abstract

A survey designed to measure subject perception of benefit, ease of use, usefulness, collaboration, disorientation, flow and assistance was used to evaluate two releases of an integrated machine learning cognitive assistance system. The design and validity of this evaluation survey is discussed in the context of an information overload experiment.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2007
Accession Number
ADA534492

Entities

People

  • Aaron Steinfield
  • Dan Siewiorek
  • John Zimmerman
  • Pablo-alejandro Quinones
  • S. R. Bennett

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Computer Science
  • Computers
  • Electronic Mail
  • Engineering
  • High Resolution
  • Information Overload
  • Intelligent Systems
  • Learning
  • Machine Learning
  • Materials
  • Overload
  • Perception
  • Psychology
  • Reliability
  • Teamwork
  • Test And Evaluation
  • Universities

Fields of Study

  • Computer science

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Systems Analysis and Design

Technology Areas

  • AI & ML