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dc.contributor.authorJahanian, Ali
dc.contributor.authorKeshvari, Shaiyan O
dc.contributor.authorRosenholtz, Ruth Ellen
dc.date.accessioned2018-06-18T18:35:10Z
dc.date.available2018-06-18T18:35:10Z
dc.date.issued2018-05
dc.identifier.issn2365-7464
dc.identifier.urihttp://hdl.handle.net/1721.1/116376
dc.description.abstractResearch in human vision suggests that in a single fixation, humans can extract a significant amount of information from a natural scene, e.g. the semantic category, spatial layout, and object identities. This ability is useful, for example, for quickly determining location, navigating around obstacles, detecting threats, and guiding eye movements to gather more information. In this paper, we ask a new question: What can we see at a glance at a web page – an artificial yet complex “real world” stimulus? Is it possible to notice the type of website, or where the relevant elements are, with only a glimpse? We find that observers, fixating at the center of a web page shown for only 120 milliseconds, are well above chance at classifying the page into one of ten categories. Furthermore, this ability is supported in part by text that they can read at a glance. Users can also understand the spatial layout well enough to reliably localize the menu bar and to detect ads, even though the latter are often camouflaged among other graphical elements. We discuss the parallels between web page gist and scene gist, and the implications of our findings for both vision science and human-computer interaction.en_US
dc.description.sponsorshipGoogle Awarden_US
dc.publisherSpringer International Publishingen_US
dc.relation.isversionofhttps://doi.org/10.1186/s41235-018-0099-2en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceSpringer International Publishingen_US
dc.subjectGist, At a glance, Web page gist, Layout, Ad, Web design, Visual perceptionen_US
dc.titleWeb pages: What can you see in a single fixation?en_US
dc.typeArticleen_US
dc.identifier.citationJahanian, Ali, Shaiyan Keshvari and Ruth Rosenholtz. "Web pages: What can you see in a single fixation?" Cognitive Research: Principles and Implications (2018) 3:1-14.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.mitauthorJahanian, Ali
dc.contributor.mitauthorKeshvari, Shaiyan O
dc.contributor.mitauthorRosenholtz, Ruth Ellen
dc.relation.journalCognitive Research: Principles and Implicationsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-05-11T04:01:29Z
dc.language.rfc3066en
dc.rights.holderThe Author(s)
dspace.orderedauthorsJahanian, Ali; Keshvari, Shaiyan; Rosenholtz, Ruthen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-0925-6120
dc.identifier.orcidhttps://orcid.org/0000-0002-5907-6259
dc.identifier.orcidhttps://orcid.org/0000-0001-5299-0331
mit.licensePUBLISHER_CCen_US


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