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Understanding Visual Saliency in Mobile User Interfaces

dc.contributor.authorLeiva, Luis A.
dc.contributor.authorXue, Yunfei
dc.contributor.authorBansal, Avya
dc.contributor.authorTavakoli, Hamed R.
dc.contributor.authorKoroglu, Tugce
dc.contributor.authorDu, Jingzhou
dc.contributor.authorDayama, Niraj R.
dc.contributor.authorOulasvirta, Antti
dc.date.accessioned2026-06-27T14:30:30Z
dc.date.issued2020
dc.description.abstractFor graphical user interface (UI) design, it is important to understand what attracts visual attention. While previous work on saliency has focused on desktop and web-based UIs, mobile app UIs differ from these in several respects. We present findings from a controlled study with 30 participants and 193 mobile UIs. The results speak to a role of expectations in guiding where users look at. Strong bias toward the top-left corner of the display, text, and images was evident, while bottom-up features such as color or size affected saliency less. Classic, parameter-free saliency models showed a weak fit with the data, and data-driven models improved significantly when trained specifically on this dataset (e.g., NSS rose from 0.66 to 0.84). We also release the first annotated dataset for investigating visual saliency in mobile UIs.en
dc.description.sponsorshipAcademy of Finland [318559]
dc.description.sponsorshipHuawei UCD Center
dc.description.sponsorshipEuropean Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme [637991]
dc.description.urihttps://doi.org/10.1145/3379503.3403557
dc.identifier.doi10.1145/3379503.3403557
dc.identifier.isbn978-1-4503-7516-0
dc.identifier.urihttps://hdl.handle.net/20.500.14981/61431
dc.identifier.wos001345022600029
dc.language.isoeng
dc.publisherASSOC COMPUTING MACHINERY
dc.relation.conference22nd International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI)
dc.relation.ispartof22ND INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION WITH MOBILE DEVICES AND SERVICES, MOBILEHCI 2020, CONFERENCE PROCEEDINGS
dc.rightsopenAccess
dc.subjectHuman Perception and Cognition
dc.subjectInteraction Design
dc.subjectComputer Vision
dc.subjectDeep Learning
dc.subjectATTENTION
dc.subjectMODEL
dc.subjectComputer Science
dc.subjectTelecommunications
dc.titleUnderstanding Visual Saliency in Mobile User Interfaces
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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