2018
DOI: 10.1016/j.neuropsychologia.2018.01.022
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Mean emotion from multiple facial expressions can be extracted with limited attention: Evidence from visual ERPs

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Cited by 19 publications
(18 citation statements)
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References 60 publications
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“…It has been shown previously that mean emotion from multiple facial expressions could be extracted with limited attention or awareness (Fischer & Whitney, 2011;Haberman & Whitney, 2011;Ji, Rossi, & Pourtois, 2018). In agreement with these earlier results, the current study also unambiguously confirms that averaging of multiple facial expressions can operate efficiently even though the stimulus presentation was kept short (i.e., 500 ms) and the display contained as many as 16 different faces.…”
Section: Discussionsupporting
confidence: 92%
“…It has been shown previously that mean emotion from multiple facial expressions could be extracted with limited attention or awareness (Fischer & Whitney, 2011;Haberman & Whitney, 2011;Ji, Rossi, & Pourtois, 2018). In agreement with these earlier results, the current study also unambiguously confirms that averaging of multiple facial expressions can operate efficiently even though the stimulus presentation was kept short (i.e., 500 ms) and the display contained as many as 16 different faces.…”
Section: Discussionsupporting
confidence: 92%
“…A breadth of evidence provides support for ensemble coding as a robust visual mechanism that operates independently of limited capacity resources over a variety of visual features. Previous research shows that ensemble percepts are available even with brief stimulus presentation durations (Haberman & Whitney, 2007;Chong & Treisman, 2003) and without relying on attentional ( Ji, Rossi, & Pourtois, 2018;Alvarez & Oliva, 2008) and working memory (Bauer, 2017;Epstein & Emmanouil, 2017) resources.…”
Section: Introductionmentioning
confidence: 99%
“…This research has revealed that ensemble processing mechanisms operate independently from traditional single-item processing (Cant, Sun, & Xu, 2015;Im & Halberda, 2013) as well as across higher-and lower-level stimulus domains (Haberman, Brady, & Alvarez, 2015;Sama, Nestor, & Cant, 2019). Furthermore, ensemble perception appears to require minimal levels of attention (Chong & Treisman, 2005;Ji, Rossi, & Pourtois, 2018;Khayat & Hochstein, 2018;Peng, Kuang, & Hu, 2019;Utochkin & Tiurina, 2014; but see Jackson-Nielsen, Cohen, & Pitts, 2017). Like gist information from scenes, ensemble information is extracted quickly, as fast as 50 ms, with little change for exposure times up to 1,000 ms (Chong & Treisman, 2003; but see Whiting & Oriet, 2011, for a more conservative estimate).…”
Section: Introductionmentioning
confidence: 99%