Počet záznamů: 1  

False memories for scenes using the DRM paradigm

  1. 1.
    SYSNO ASEP0533426
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    Poddruh JČlánek ve WOS
    NázevFalse memories for scenes using the DRM paradigm
    Tvůrce(i) Děchtěrenko, Filip (PSU-E) RID, ORCID, SAI
    Lukavský, Jiří (PSU-E) RID, ORCID, SAI
    Štipl, J. (CZ)
    Zdroj.dok.Vision Research. - : Elsevier - ISSN 0042-6989
    Roč. 178, leden (2021), s. 48-59
    Poč.str.12 s.
    Forma vydáníTištěná - P
    Jazyk dok.eng - angličtina
    Země vyd.US - Spojené státy americké
    Klíč. slovavisual scenes deep ; convolutional networks ; visual memory ; DRM
    Vědní obor RIVAN - Psychologie
    Obor OECDPsychology (including human - machine relations)
    CEPGA16-07983S GA ČR - Grantová agentura ČR
    Způsob publikováníOpen access
    Institucionální podporaPSU-E - RVO:68081740
    UT WOS000604937900007
    EID SCOPUS85093702816
    DOI10.1016/j.visres.2020.09.009
    AnotacePeople are remarkably good at remembering photographs. To further investigate the nature of the stored representations and the fidelity of human memories, it would be useful to evaluate the visual similarity of stimuli presented in experiments. Here, we explored the possible use of convolutional neural networks (CNN) as a measure of perceptual or representational similarity of visual scenes with respect to visual memory research. In Experiment 1, we presented participants with sets of nine images from the same scene category and tested whether they were able to detect the most distant scene in the image space defined by CNN. Experiment 2 was a visual variant of the Deese-Roediger-McDermott paradigm. We asked participants to remember a set of photographs from the same scene category. The photographs were preselected based on their distance to a particular visual prototype (defined as centroid of the image space). In the recognition test, we observed higher false alarm rates for scenes closer to this visual prototype. Our findings show that the similarity measured by CNN is reflected in human behavior: people can detect odd-one-out scenes or be lured to false alarms with similar stimuli. This method can be used for further studies regarding visual memory for complex scenes.
    PracovištěPsychologický ústav
    KontaktŠtěpánka Halamová, Halamova@praha.psu.cas.cz, Tel.: 222 222 096
    Rok sběru2021
    Elektronická adresahttps://www.sciencedirect.com/science/article/pii/S0042698920301693?via%3Dihub
Počet záznamů: 1  

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