Browsing by Author "Lázár Imre"

Now showing 1 - 6 of 6
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    "Done by The Name of Thy Holy Child Jesus": Plural Hermenutics of the Faith Healing
    (Nova Science Publishers, 2019) Lázár Imre
    In this writing, the hermeneutic pluralism of religious and spiritual healing and its roots in the Gospel are studied through the conceptual systems of the anthropology of religion and medical anthropology. The cosmological assumptions, explanatory models, idioms related to diseases, pathology and healing as preserved in the texts of the Old Testament and the New Testament, as well as their occurrence and meaning in healing rituals then and now will also be studied. Within the frame of this work, the author attempts to map the possible lay, religious, and scientific attitudes towards faith healing and recovery in an age of spiritual awakening. Emphasizing the importance of primary cosmological assumptions and accepting their plurality, we call for an open dialogue in the frame of the biopsychosocial-spiritual paradigm.
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    Környezet és emberkép
    (Patrocinium Kiadó, 2011) Lázár Imre
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    Neveléselmélet a kulturális antropológia talapzatán
    (L'Harmattan Kiadó, 2012) Lázár Imre
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    Overconfident, but angry at least. AI-based investigation of facial emotional expressions and self-assessment bias in human adults
    (2025) Kasek Roland; Sepsi Enikő; Lázár Imre; Művészettudományi és Szabadbölcsészeti Intézet; Mûvészettudományi és Művészetpedagógiai Tanszék; KRE - Bölcsészet- és Társadalomtudományi Kar
    Metacognition and facial emotional expressions both play a major role in human social interactions [1, 2] as inner narrative and primary communicational display, and both are limited by self-monitoring, control and their interaction with personal and social reference frames. The study aims to investigate how metacognitive abilities relate to facial emotional expressions, as the inner narrative of a subject might project subconsciously and primes facial emotional expressions in a non-social setting. Subjects were presented online to a set of digitalised short-term memory tasks and attended a screening of artistic and artificial stimuli, where their facial emotional expressions were recorded and analyzed by artificial intelligence. Results show self-assessment bias in association with emotional expressivity – neutrality, saturation, transparency – and the display of anger and hostility as an individually specific trait expressed at modality-dependent degrees. Our results indicate that self-assessment bias interplays in subconscious communication – the expression, control and recognition of facial emotions, especially – with empathetic skills and manipulation.
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    Szocioszomatika új keretekben
    (2022) Lázár Imre