undefined

Understanding visual search in graphical user interfaces

Year of publication

2025

Authors

Putkonen, Aini; Jiang, Yue; Zeng, Jingchun; Tammilehto, Olli; Jokinen, Jussi P.P.; Oulasvirta, Antti

Abstract

How do we find items within graphical user interfaces (GUIs)? Current understanding of this issue relies on studies using symbol matrices, natural scenes, and other non-GUI stimuli. To understand whether the effects discovered in those environments extend to mobile, desktop, and web interfaces, this paper reports on visual search performance and eye movements with 900 real-world GUIs. In an eye-tracking study, participants (N=84) were given a cue (textual or image) describing a target to find within a GUI. The study found that the type of GUI, the absence/presence of the target, and cue type affected search time more than visual complexity did. We also compared visual search to free-viewing in GUIs, concluding that these two tasks are distinctly different. Synthesis of the results points to a Guess-Scan-Confirm pattern in visual search: in the first few fixations, gaze is frequently directed toward the top-left corner of the screen, a pattern possibly related to the top left being a statistically likely location of the target or of information that could aid in finding it; attention then gets more selectively guided, in line with the GUI’s structure and the features of the target; and, finally, the user must confirm whether the target has been identified or, instead, that no target is visible. The VSGUI10K eye-tracking dataset (10,282 trials) is released for study and modeling of visual search.
Show more

Organizations and authors

Aalto University

Putkonen Aini

Oulasvirta Antti Orcid -palvelun logo

Zeng Jingchun

Tammilehto Olli

Jiang Yue Orcid -palvelun logo

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Publisher

Elsevier

Volume

199

Article number

103483

​Publication forum

58508

​Publication forum level

3

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Partially open publication channel

Self-archived

Yes

Other information

Fields of science

Computer and information sciences

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Publication country

United Kingdom

Internationality of the publisher

International

Language

English

International co-publication

No

Co-publication with a company

No

DOI

10.1016/j.ijhcs.2025.103483

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes