Experimental Comparisons of Data Entry by Automatic Speech Recognition, Keyboard, and Mouse

Abstract

The objective was to determine the conditions under which Automatic Speech Recognition (ASR) is an efficient choice for data entry. In particular the focus was on data entry tasks that are part of constructing military messages. The ADF Formatted Messaging System utilises a structured formatting system to constrain the semantics of a message but also includes a field for unlimited and unstructured text. Hence the data entry tasks involved range from form-filling to free dictation of short phrases. In the experiments, ASR and manual input modes are compared for three data entry tasks: textual phrase entry, selection from a list, and numerical data entry. To effect fair comparisons, the tasks minimised the transaction cycle for each input mode and data type and the main comparisons use only times from correct data entry. The results indicate that for inputting short phrases ASR only competes if the typist's speed is below 45 wpm. For selecting an item from a list, ASR offered an advantage only if the list length was greater than 15 items. For entering numerical data, ASR offered no advantage over keypad or mouse. The general conclusion for formatted data entry is that a keyboard/mouse interface designed to match the data to be entered will be more time efficient than any equivalent ASR interface.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2001
Accession Number
ADA402966

Entities

People

  • Helen Mitchard
  • Jim Winkles

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Air Platforms
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Applied Psychology
  • Artificial Intelligence
  • Australia
  • Automated Speech Recognition
  • Basic Programming Language
  • Cognition
  • Cognitive Science
  • Computer Programs
  • Computer Science
  • Computers
  • Electronics
  • Human Systems Integration
  • Information Systems
  • Keyboards
  • Psychology
  • Recognition
  • Word Processors

Readers

  • Computational Linguistics
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Machine Translation