1991
DOI: 10.1007/bf02686900
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Massed versus distributed exposure and imaging of faces: Changing the test view

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Cited by 7 publications
(2 citation statements)
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“…Missing person appeals are also increasingly distributed through social media, which allows multiple photographs to be included and presented sequentially (Solymosi, Petcu, & Wilkinson, 2020). Although less discussed in face learning studies, learning stimuli (e.g., nonsense words, word pairs) using a distributed sequence results in better recognition (Russo, Mammarella, & Avons, 2002;Wogalter, Jarrard, & Cayard, 1991). Therefore, we used a distributed presentation of target images during the familiarization phase of our experiment.…”
Section: Do Image Variability and Names In Missing Person Appeals Improve Prospective Person Memory?mentioning
confidence: 99%
“…Missing person appeals are also increasingly distributed through social media, which allows multiple photographs to be included and presented sequentially (Solymosi, Petcu, & Wilkinson, 2020). Although less discussed in face learning studies, learning stimuli (e.g., nonsense words, word pairs) using a distributed sequence results in better recognition (Russo, Mammarella, & Avons, 2002;Wogalter, Jarrard, & Cayard, 1991). Therefore, we used a distributed presentation of target images during the familiarization phase of our experiment.…”
Section: Do Image Variability and Names In Missing Person Appeals Improve Prospective Person Memory?mentioning
confidence: 99%
“…Previous research has noted a recognition performance advantage of allowing post-exposure rehearsal of faces (e.g., Wogalter, Cayard, and Jarrard, 1992), and that a distributed presentation of complex visual stimuli (aircraft) produces better subsequent visual recognition performance . This improvement occurs not only for identical stimuli at study and test, but also for recognition of stimuli shown in a different perspective at test than at study-the most likely and realistic scenario in everyday recognition .…”
Section: Introductionmentioning
confidence: 99%