{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T03:26:08Z","timestamp":1772249168342,"version":"3.50.1"},"reference-count":55,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2023,5,10]],"date-time":"2023-05-10T00:00:00Z","timestamp":1683676800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010661","name":"Horizon 2020 Framework Programme","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Hum. Neurosci."],"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>The focus of cognitive and psychological approaches to narrative has not so much been on the elucidation of important aspects of narrative, but rather on using narratives as tools for the investigation of higher order cognitive processes elicited by narratives (e.g., understanding, empathy, etc.). In this study, we work toward a scalar model of narrativity, which can provide testable criteria for selecting and classifying communication forms in their level of narrativity. We investigated whether being exposed to videos with different levels of narrativity modulates shared neural responses, measured by inter-subject correlation, and engagement levels.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Thirty-two participants watched video advertisements with high-level and low-level of narrativity while their neural responses were measured through electroencephalogram. Additionally, participants\u2019 engagement levels were calculated based on the composite of their self-reported attention and immersion scores.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Results demonstrated that both calculated inter-subject correlation and engagement scores for high-level video ads were significantly higher than those for low-level, suggesting that narrativity levels modulate inter-subject correlation and engagement.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>We believe that these findings are a step toward the elucidation of the viewers\u2019 way of processing and understanding a given communication artifact as a function of the narrative qualities expressed by the level of narrativity.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fnhum.2023.1160981","type":"journal-article","created":{"date-parts":[[2023,5,10]],"date-time":"2023-05-10T08:54:45Z","timestamp":1683708885000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Higher levels of narrativity lead to similar patterns of posterior EEG activity across individuals"],"prefix":"10.3389","volume":"17","author":[{"given":"Hossein","family":"Dini","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aline","family":"Simonetti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Enrique","family":"Bigne","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luis Emilio","family":"Bruni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2023,5,10]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511816932","author":"Abbott","year":"2008","journal-title":"The Cambridge introduction to narrative"},{"key":"B2","doi-asserted-by":"publisher","first-page":"814","DOI":"10.1016\/j.neuroimage.2010.06.048","article-title":"Single-trial analysis and classification of ERP components\u2014a tutorial.","volume":"56","author":"Blankertz","year":"2011","journal-title":"Neuroimage"},{"key":"B3","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-030-77599-5_1","article-title":"Narrative cognition in mixed reality systems: Towards an empirical framework","author":"Bruni","year":"2021","journal-title":"Virtual, augmented and mixed reality"},{"key":"B4","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1080\/15213260903287259","article-title":"Measuring narrative engagement.","volume":"12","author":"Busselle","year":"2009","journal-title":"Media Psychol."},{"key":"B5","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.neuroimage.2015.03.066","article-title":"Combined MEG and EEG show reliable patterns of electromagnetic brain activity during natural viewing.","volume":"114","author":"Chang","year":"2015","journal-title":"Neuroimage"},{"key":"B6","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1146\/annurev.psych.093008.100427","article-title":"A taxonomy of external and internal attention.","volume":"62","author":"Chun","year":"2011","journal-title":"Annu. 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