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  1. The 4D Space-Time Dimensions of Facial Perception.Adelaide L. Burt & David P. Crewther - 2020 - Frontiers in Psychology 11.
    Facial information is a powerful channel for human-to-human communication. Characteristically, faces can be defined as biological objects that are four-dimensional (4D) patterns, whereby they have concurrently a spatial structure as well as temporal dynamics. The spatial characteristics of facial objects possess three dimensions (3D), namely breadth, height and importantly, depth. The temporal properties of facial objects are defined by how a 3D facial structure evolves dynamically over time; where time is referred to as the fourth dimension (4D). Our entire perspective (...)
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  • Computational insights into human perceptual expertise for familiar and unfamiliar face recognition.Nicholas M. Blauch, Marlene Behrmann & David C. Plaut - 2021 - Cognition 208 (C):104341.
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  • Face Recognition Depends on Specialized Mechanisms Tuned to View‐Invariant Facial Features: Insights from Deep Neural Networks Optimized for Face or Object Recognition.Naphtali Abudarham, Idan Grosbard & Galit Yovel - 2021 - Cognitive Science 45 (9):e13031.
    Face recognition is a computationally challenging classification task. Deep convolutional neural networks (DCNNs) are brain‐inspired algorithms that have recently reached human‐level performance in face and object recognition. However, it is not clear to what extent DCNNs generate a human‐like representation of face identity. We have recently revealed a subset of facial features that are used by humans for face recognition. This enables us now to ask whether DCNNs rely on the same facial information and whether this human‐like representation depends on (...)
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  • From concepts to percepts in human and machine face recognition: A reply to Blauch, Behrmann & Plaut.Galit Yovel & Naphtali Abudarham - 2021 - Cognition 208 (C):104424.
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  • Independent contribution of perceptual experience and social cognition to face recognition.Linoy Schwartz & Galit Yovel - 2019 - Cognition 183 (C):131-138.
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  • Factors Affecting Intention of Consumers in Using Face Recognition Payment in Offline Markets: An Acceptance Model for Future Payment Service.Dongyan Nan, Yerin Kim, Jintao Huang, Hae Sun Jung & Jang Hyun Kim - 2022 - Frontiers in Psychology 13.
    Face recognition payment, an innovative financial technology service, is a recently developed mode of payment service that has garnered attention in the offline market, particularly in China. However, studies examining the adoption of FRP by consumers are scarce. Therefore, this study proposed a causal model built on the Unified Theory of Acceptance and Use of Technology, and key predictors related to the intention of using FRP were identified. The structural equation model-based results obtained from 305 Chinese participants demonstrated that the (...)
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  • Understanding the Impact of Face Masks on the Processing of Facial Identity, Emotion, Age, and Gender.Daniel Fitousi, Noa Rotschild, Chen Pnini & Omer Azizi - 2021 - Frontiers in Psychology 12.
    The COVID-19 pandemic has introduced new challenges for governments and individuals. Unprecedented efforts at reducing virus transmission launched a novel arena for human face recognition in which faces are partially occluded with masks. Previous studies have shown that masks decrease accuracy of face identity and emotion recognition. The current study focuses on the impact of masks on the speed of processing of these and other important social dimensions. Here we provide a systematic assessment of the impact of COVID-19 masks on (...)
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