{"pk":30123,"title":"Simulating length and frequency effects across multiple tasks with the Bayesianmodel BRAID-Phon","subtitle":null,"abstract":"In visual word processing modeling, few models have success-fully accounted for a large variety of tasks, and large corpora ofbehavioral observations. We consider a dataset from a megas-tudy, in which participants performed three tasks (lexical de-cision, word naming, and word recognition in a progressivedemasking situation), on the same, large set of stimuli. Wedefine the BRAID-Phon model, an extension of a previousprobabilistic model, the BRAID model, whose originality isits visuo-attentional component, in which a visuo-attentionaldistribution spatially deploys sensory processing capabilities.BRAID-Phon includes phonological representations of words,allowing simulating the naming task. We simulated the threetasks on the dataset we considered, and analyzed predicted re-action times in terms of word frequency and word length ef-fects. Simulation results show that BRAID-Phon successfullycaptures the direction and order of magnitude of the observedeffects, in all three tasks.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"Visual word processing; computational modeling;reading aloud; lexical decision; megastudy simulation"}],"section":"Poster Session 3","is_remote":true,"remote_url":"https://escholarship.org/uc/item/87k2h62g","frozenauthors":[{"first_name":"Ali","middle_name":"","last_name":"Saghiran","name_suffix":"","institution":"Univ. Grenoble Alpes","department":""},{"first_name":"Sylviane","middle_name":"","last_name":"Valdois","name_suffix":"","institution":"Univ. Grenoble Alpes","department":""},{"first_name":"Julien","middle_name":"","last_name":"Diard","name_suffix":"","institution":"Univ. Grenoble Alpes","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2020-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/30123/galley/19977/download/"}]}