Yayın: Understanding Visual Saliency in Mobile User Interfaces
| dc.contributor.author | Leiva, Luis A. | |
| dc.contributor.author | Xue, Yunfei | |
| dc.contributor.author | Bansal, Avya | |
| dc.contributor.author | Tavakoli, Hamed R. | |
| dc.contributor.author | Koroglu, Tugce | |
| dc.contributor.author | Du, Jingzhou | |
| dc.contributor.author | Dayama, Niraj R. | |
| dc.contributor.author | Oulasvirta, Antti | |
| dc.date.accessioned | 2026-06-27T14:30:30Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | For 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.sponsorship | Academy of Finland [318559] | |
| dc.description.sponsorship | Huawei UCD Center | |
| dc.description.sponsorship | European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme [637991] | |
| dc.description.uri | https://doi.org/10.1145/3379503.3403557 | |
| dc.identifier.doi | 10.1145/3379503.3403557 | |
| dc.identifier.isbn | 978-1-4503-7516-0 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14981/61431 | |
| dc.identifier.wos | 001345022600029 | |
| dc.language.iso | eng | |
| dc.publisher | ASSOC COMPUTING MACHINERY | |
| dc.relation.conference | 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) | |
| dc.relation.ispartof | 22ND INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION WITH MOBILE DEVICES AND SERVICES, MOBILEHCI 2020, CONFERENCE PROCEEDINGS | |
| dc.rights | openAccess | |
| dc.subject | Human Perception and Cognition | |
| dc.subject | Interaction Design | |
| dc.subject | Computer Vision | |
| dc.subject | Deep Learning | |
| dc.subject | ATTENTION | |
| dc.subject | MODEL | |
| dc.subject | Computer Science | |
| dc.subject | Telecommunications | |
| dc.title | Understanding Visual Saliency in Mobile User Interfaces | |
| dc.type | Proceedings Paper | |
| dspace.entity.type | Publication | |
| local.import.source | WOS |