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Visual field defects (VFDs) are typically assessed using standard automated perimetry (SAP). However, SAP requires participants to understand instructions, maintain fixation and sustained attention, and provide overt responses. These aspects make SAP less suitable for very young or cognitively impaired populations. Here we investigate the feasibility of a new and less demanding form of perimetry. This method assesses visual sensitivity based on pupil responses while performing the perhaps simplest task imaginable: watching movies.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Method<\/jats:title>\n            <jats:p>We analyzed an existing dataset, with healthy participants (n\u2009=\u200970) freely watching movies with or without gaze-contingent simulated VFDs, either hemianopia (left- or right-sided) or glaucoma (large nasal arc, small nasal arc, and tunnel vision). Meanwhile, their gaze and pupil size were recorded. Using a recently published toolbox (Open-DPSM), we modeled the relative contribution of visual events to the pupil responses to indicate relative visual sensitivity across the visual field and to dissociate between conditions with and without simulated VFDs.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Result<\/jats:title>\n            <jats:p>Conditions with and without simulated VFDs could be dissociated, with an <jats:italic>AUC<\/jats:italic> ranging from 0.85 to 0.97, depending on the specific simulated VFD condition. In addition, the dissociation was better when including more movies in the modeling but the model with as few movies as 10 movies was sufficient for a good classification (AUC ranging from 0.84 to 0.96).<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusion<\/jats:title>\n            <jats:p>Movie-viewing pupil perimetry is promising in providing complementary information for the diagnosis of VFDs, especially for those who are unable to perform conventional perimetry.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1007\/s00417-024-06733-1","type":"journal-article","created":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T22:58:35Z","timestamp":1736377115000},"page":"1641-1650","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Mapping simulated visual field defects with movie-viewing pupil perimetry"],"prefix":"10.1007","volume":"263","author":[{"given":"Yuqing","family":"Cai","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christoph","family":"Strauch","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefan","family":"Van der Stigchel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antonia F. 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