Matches in SemOpenAlex for { <https://semopenalex.org/work/W4311557079> ?p ?o ?g. }
Showing items 1 to 47 of
47
with 100 items per page.
- W4311557079 endingPage "3894" @default.
- W4311557079 startingPage "3894" @default.
- W4311557079 abstract "Human visual attention is highly structured around gathering relevant information on the underlying goals or sub-goals one wishes to accomplish. Typically, this has been modelled using either qualitative top-down saliency models, or through the use of highly reductionist psychophysical experiments. Modelling an information-gathering process in these ways however often ignores the rich and complex repertoire of behaviour that make up ecologically-valid gaze. We propose a new way of analysing natural data, suitable for analysing temporal structure of visual attention in complex, freely moving environments. To achieve this, we capture visual information from subjects performing an unconstrained task in the real world - in this case, cooking in a kitchen. We use eye-tracking glasses with a built-in scene camera (SMI ETG 2W @ 120Hz) to record n=15 subjects, setting up, cooking breakfast and eating in a real-world kitchen. We process the visual data using a deep-learning based pipeline (Auepanwiriyakul et al., 2018, ETRA), to obtain the stream of objects in the field of view. Eye-tracking gives us a sequence of objects people are focussing their overt attention on throughout the task. We resolve ambiguities using pixel-level object segmentation and classification techniques. We analyse these sequences using HMM and context-free grammar induction models (IGGI), revealing a potential hierarchical structure which is invariant across subjects. We compare this grammatical structure against a “ground-truth”, the WordNet lexical database of semantic relationships between objects (Miller et al, 1995), and find some surprising similarities and counterintuitive differences between attention-derived and textual base structure of objects, suggesting that the differences between how we look and how we verbally reason about tasks is an open question of cognition and attention." @default.
- W4311557079 created "2022-12-27" @default.
- W4311557079 creator A5023706999 @default.
- W4311557079 creator A5044883951 @default.
- W4311557079 creator A5078228921 @default.
- W4311557079 date "2022-12-05" @default.
- W4311557079 modified "2023-09-26" @default.
- W4311557079 title "Gaze Grammars - Is there an invariant hierarchical sequential structure of human visual attention in natural tasks?" @default.
- W4311557079 doi "https://doi.org/10.1167/jov.22.14.3894" @default.
- W4311557079 hasPublicationYear "2022" @default.
- W4311557079 type Work @default.
- W4311557079 citedByCount "0" @default.
- W4311557079 crossrefType "journal-article" @default.
- W4311557079 hasAuthorship W4311557079A5023706999 @default.
- W4311557079 hasAuthorship W4311557079A5044883951 @default.
- W4311557079 hasAuthorship W4311557079A5078228921 @default.
- W4311557079 hasBestOaLocation W43115570791 @default.
- W4311557079 hasConcept C154945302 @default.
- W4311557079 hasConcept C204321447 @default.
- W4311557079 hasConcept C2779916870 @default.
- W4311557079 hasConcept C41008148 @default.
- W4311557079 hasConcept C56461940 @default.
- W4311557079 hasConceptScore W4311557079C154945302 @default.
- W4311557079 hasConceptScore W4311557079C204321447 @default.
- W4311557079 hasConceptScore W4311557079C2779916870 @default.
- W4311557079 hasConceptScore W4311557079C41008148 @default.
- W4311557079 hasConceptScore W4311557079C56461940 @default.
- W4311557079 hasIssue "14" @default.
- W4311557079 hasLocation W43115570791 @default.
- W4311557079 hasOpenAccess W4311557079 @default.
- W4311557079 hasPrimaryLocation W43115570791 @default.
- W4311557079 hasRelatedWork W1561602432 @default.
- W4311557079 hasRelatedWork W1589443630 @default.
- W4311557079 hasRelatedWork W1999328396 @default.
- W4311557079 hasRelatedWork W2113986142 @default.
- W4311557079 hasRelatedWork W2148584227 @default.
- W4311557079 hasRelatedWork W2168991662 @default.
- W4311557079 hasRelatedWork W2385108104 @default.
- W4311557079 hasRelatedWork W2769824675 @default.
- W4311557079 hasRelatedWork W2960173979 @default.
- W4311557079 hasRelatedWork W2183271128 @default.
- W4311557079 hasVolume "22" @default.
- W4311557079 isParatext "false" @default.
- W4311557079 isRetracted "false" @default.
- W4311557079 workType "article" @default.