Model of visual search and selection time in linear menus

Gilles Bailly; Antti Oulasvirta; Duncan P. Brumby; Andrew Howes

doi:10.1145/2556288.2557093

Model of visual search and selection time in linear menus

Gilles Bailly, Antti Oulasvirta, Duncan P. Brumby, Andrew Howes

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

33 Citations (Scopus)

Abstract

This paper presents a novel mathematical model for visual search and selection time in linear menus. Assuming two visual search strategies, serial and directed, and a pointing sub-task, it captures the change of performance with five fac- tors: 1) menu length, 2) menu organization, 3) target position, 4) absence/presence of target, and 5) practice. The novel aspect is that the model is expressed as probability density distribution of gaze, which allows for deriving total selection time. We present novel data that replicates and extends the Nielsen menu selection paradigm and uses eye-tracking and mouse tracking to confirm model predictions. The same parametrization yielded a high fit to both menu selection time and gaze distributions. The model has the potential to improve menu designs by helping designers identify more effective solutions without conducting empirical studies

Original language	English
Title of host publication	CHI '14 Proceedings of the SIGCHI Conference on Human Factors in Computing System
Publisher	Association for Computing Machinery
Pages	3865-3874
ISBN (Electronic)	978-1-4503-2473-1
DOIs	https://doi.org/10.1145/2556288.2557093
Publication status	Published - 2014
Event	CHI '14 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - Toronto, Canada Duration: 26 Apr 2014 → 1 May 2014

Conference

Conference	CHI '14 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Country/Territory	Canada
City	Toronto
Period	26/04/14 → 1/05/14

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10.1145/2556288.2557093Licence: None: All rights reserved

Cite this

@inproceedings{f3df1e78b824467a9623af7f2f18068c,

title = "Model of visual search and selection time in linear menus",

abstract = "This paper presents a novel mathematical model for visual search and selection time in linear menus. Assuming two visual search strategies, serial and directed, and a pointing sub-task, it captures the change of performance with five fac- tors: 1) menu length, 2) menu organization, 3) target position, 4) absence/presence of target, and 5) practice. The novel aspect is that the model is expressed as probability density distribution of gaze, which allows for deriving total selection time. We present novel data that replicates and extends the Nielsen menu selection paradigm and uses eye-tracking and mouse tracking to confirm model predictions. The same parametrization yielded a high fit to both menu selection time and gaze distributions. The model has the potential to improve menu designs by helping designers identify more effective solutions without conducting empirical studies",

author = "Gilles Bailly and Antti Oulasvirta and Brumby, {Duncan P.} and Andrew Howes",

year = "2014",

doi = "10.1145/2556288.2557093",

language = "English",

pages = "3865--3874",

booktitle = "CHI '14 Proceedings of the SIGCHI Conference on Human Factors in Computing System",

publisher = "Association for Computing Machinery ",

note = "CHI '14 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems ; Conference date: 26-04-2014 Through 01-05-2014",

}

Bailly, G, Oulasvirta, A, Brumby, DP & Howes, A 2014, Model of visual search and selection time in linear menus. in CHI '14 Proceedings of the SIGCHI Conference on Human Factors in Computing System. Association for Computing Machinery , pp. 3865-3874, CHI '14 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems , Toronto, Canada, 26/04/14. https://doi.org/10.1145/2556288.2557093

TY - GEN

T1 - Model of visual search and selection time in linear menus

AU - Bailly, Gilles

AU - Oulasvirta, Antti

AU - Brumby, Duncan P.

AU - Howes, Andrew

PY - 2014

Y1 - 2014

N2 - This paper presents a novel mathematical model for visual search and selection time in linear menus. Assuming two visual search strategies, serial and directed, and a pointing sub-task, it captures the change of performance with five fac- tors: 1) menu length, 2) menu organization, 3) target position, 4) absence/presence of target, and 5) practice. The novel aspect is that the model is expressed as probability density distribution of gaze, which allows for deriving total selection time. We present novel data that replicates and extends the Nielsen menu selection paradigm and uses eye-tracking and mouse tracking to confirm model predictions. The same parametrization yielded a high fit to both menu selection time and gaze distributions. The model has the potential to improve menu designs by helping designers identify more effective solutions without conducting empirical studies

AB - This paper presents a novel mathematical model for visual search and selection time in linear menus. Assuming two visual search strategies, serial and directed, and a pointing sub-task, it captures the change of performance with five fac- tors: 1) menu length, 2) menu organization, 3) target position, 4) absence/presence of target, and 5) practice. The novel aspect is that the model is expressed as probability density distribution of gaze, which allows for deriving total selection time. We present novel data that replicates and extends the Nielsen menu selection paradigm and uses eye-tracking and mouse tracking to confirm model predictions. The same parametrization yielded a high fit to both menu selection time and gaze distributions. The model has the potential to improve menu designs by helping designers identify more effective solutions without conducting empirical studies

U2 - 10.1145/2556288.2557093

DO - 10.1145/2556288.2557093

M3 - Conference contribution

SP - 3865

EP - 3874

BT - CHI '14 Proceedings of the SIGCHI Conference on Human Factors in Computing System

PB - Association for Computing Machinery

T2 - CHI '14 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Y2 - 26 April 2014 through 1 May 2014

ER -

Model of visual search and selection time in linear menus

Abstract

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