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Old Dominion University

Natural Language Human-Computer Dialogue: Menu-Based Natural Language and Visual Performance

Abstract

dc:description.abstract

<p>The present study was conducted to determine design principles for menu-based natural language (MBNL) interfaces and to provide evidence for the nature of visual search processes with menu-based systems. The effects of window size, window activity, and query length were investigated. Window size was manipulated as a between-subjects variable with three levels representing a sixteen-item window size, an eight-item window size, and a four-item window size. Window activity was manipulated as a within-subjects variable with two levels representing single active and multiple active windows. Query length was manipulated as a within-subjects variable with three levels representing one-, two-, and three-item query lengths. Thirty six subjects randomly assigned to three groups, based on the window size factor, performed queries with the three query lengths in both window activity conditions in counterbalanced order. It was found that two- and three-item queries were performed faster with single active windows. However, subjects rated multiple active windows as more 'natural'. Query times also increased with query length and errors were most likely to occur on the longest query. Longer eye fixation durations were observed with the four-item window size. Fixation frequencies, fixation durations, dwell times, and relative dwell times all varied as a function of query length. Visual behavior also depended on which 'area of interest' subjects were viewing, and this effect interacted with window activity and query length. Finally, it was found that menus were not scanned randomly. However, scanpaths were less deterministic with multiple active windows and tended to become less constrained as query length increased. Based on the findings, human factors design principles were derived for application to MBNL interfaces.</p>

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy (PhD)
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Psychology
Year dc:date.available
1988

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hendrickson, Jeffrey John
Contributors dc:contributor
  • Glynn D. Coates
  • Terry L. Dickinson
  • Randall L. Harris
  • Raymond H. Kirby
  • William Muto

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • <p>In Copyright. URI: <a href="http://rightsstatements.org/vocab/InC/1.0/">http://rightsstatements.org/vocab/InC/1.0/</a> This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).</p>

Identifiers

dc:identifier.*
Repository record dc:identifier
https://digitalcommons.odu.edu/psychology_etds/280
OAI identifier oai:identifier
oai:digitalcommons.odu.edu:psychology_etds-1280

Chain of custody

source
Harvested from
Old Dominion University
Base URL
digitalcommons.odu.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Hendrickson, Jeffrey John. Natural Language Human-Computer Dialogue: Menu-Based Natural Language and Visual Performance. Dissertation thesis, 1988. https://digitalcommons.odu.edu/psychology_etds/280