UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Model of visual search and selection time in linear menus

Bailly, G; Oulasvirta, A; Brumby, DP; Howes, A; (2014) Model of visual search and selection time in linear menus. In: Jones, M and Palanque, P and Schmidt, A and Grossman, T, (eds.) CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. (pp. pp. 3865-3874). ACM: New York, NY, USA. Green open access

[img]
Preview
Text
Brumby_model_of_visual_search_and_selection.pdf

Download (1MB) | Preview

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 factors: 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.

Type: Proceedings paper
Title: Model of visual search and selection time in linear menus
Event: SIGCHI Conference on Human Factors in Computing Systems, 26 April - 1 May 2014, Toronto, Ontario, Canada
ISBN-13: 9781450324731
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/2556288.2557093
Publisher version: http://dx.doi.org/10.1145/2556288.2557093
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: Linear menus; User Performance; Mathematical predictive models; Visual search; Eye-tracking.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > UCL Interaction Centre
URI: https://discovery.ucl.ac.uk/id/eprint/1431982
Downloads since deposit
105Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item