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Performance, preference, and visual scan patterns on a menu-based system: implications for interface design

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J. J. HendricksonAuthors Info & Claims

ACM SIGCHI Bulletin, Volume 20, Issue SI

Pages 217 - 222

https://doi.org/10.1145/67450.67492

Published: 01 March 1989 Publication History

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Abstract

This study was conducted to provide evidence for the nature of visual search processes with menus, and to derive design principles for menu-based natural language (MBNL) interfaces to databases. The effects of window size, window activity, and query length were investigated. It was found that longer queries were performed faster with single active windows, but multiple active windows were rated as more 'natural'. Query times increased with query length, as did eye fixation frequencies, fixation durations, and dwell times. Errors were most likely to occur on the longest query. Fixation durations also varied with window size. However, visual behavior depended on the area being viewed and on the interaction between window activity and query length. In contrast with previous studies, it was also found that menus were not scanned randomly. However, scanpaths were less deterministic with multiple active windows and became even more unconstrained as query length increased. User interface design recommendations were derived from the findings.

References

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Performance, preference, and visual scan patterns on a menu-based system: implications for interface design

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Information & Contributors

Information

Published In

ACM SIGCHI Bulletin Volume 20, Issue SI

March 1989

374 pages

ISSN:0736-6906

DOI:10.1145/67450

Editors:
K. Bice
Texas Instruments
,
C. Lewis
Univ. of Colorado, Boulder, CO

Issue’s Table of Contents

CHI '89: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
March 1989
397 pages
ISBN:0897913019
DOI:10.1145/67449
Editors:
K. Bice
Texas Instruments
,
C. Lewis
Univ. of Colorado, Boulder, CO

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 March 1989

Published in SIGCHI Volume 20, Issue SI

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https://doi.org/10.1007/978-1-0716-3000-6_15
Roy DNah F(2020)A Review on Eye-Tracking Metrics for SleepinessHCI International 2020 – Late Breaking Papers: Interaction, Knowledge and Social Media10.1007/978-3-030-60152-2_47(630-640)Online publication date: 27-Sep-2020
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Zhao YSiau K(2018)Cognitive Neuroscience in Information Systems ResearchApplications of Neuroscience10.4018/978-1-5225-5478-3.ch009(158-175)Online publication date: 2018
https://doi.org/10.4018/978-1-5225-5478-3.ch009
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