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  1. The uncanny advantage of using androids in cognitive and social science research.Karl F. MacDorman & Hiroshi Ishiguro - 2006 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 7 (3):297-337.
    The development of robots that closely resemble human beings can contribute to cognitive research. An android provides an experimental apparatus that has the potential to be controlled more precisely than any human actor. However, preliminary results indicate that only very humanlike devices can elicit the broad range of responses that people typically direct toward each other. Conversely, to build androids capable of emulating human behavior, it is necessary to investigate social activity in detail and to develop models of the cognitive (...)
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  • Studies of interference in serial verbal reactions.J. R. Stroop - 1935 - Journal of Experimental Psychology 18 (6):643.
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  • Neural mechanisms of selective visual attention.R. Desimone & J. Duncan - 1995 - Annual Review of Neuroscience 18 (1):193-222.
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  • Processing fluency and aesthetic pleasure: Is beauty in the perceiver's processing experience?Rolf Reber, Norbert Schwarz & Piotr Winkielman - 2004 - Personality and Social Psychology Review 8 (4):364-382.
    We propose that aesthetic pleasure is a function of the perceiver's processing dynamics: The more fluently perceivers can process an object, the more positive their aesthetic response. We review variables known to influence aesthetic judgments, such as figural goodness, figure-ground contrast, stimulus repetition, symmetry, and prototypicality, and trace their effects to changes in processing fluency. Other variables that influence processing fluency, like visual or semantic priming, similarly increase judgments of aesthetic pleasure. Our proposal provides an integrative framework for the study (...)
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  • A perspective on disgust.Paul Rozin & April E. Fallon - 1987 - Psychological Review 94 (1):23-41.
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  • Conflict monitoring and cognitive control.Matthew M. Botvinick, Todd S. Braver, Deanna M. Barch, Cameron S. Carter & Jonathan D. Cohen - 2001 - Psychological Review 108 (3):624-652.
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  • A reappraisal of the uncanny valley: categorical perception or frequency-based sensitization?Tyler J. Burleigh & Jordan R. Schoenherr - 2014 - Frontiers in Psychology 5.
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  • Individual differences predict sensitivity to the uncanny valley.Karl F. MacDorman & Steven O. Entezari - 2015 - Interaction Studies 16 (2):141-172.
    It can be creepy to notice that something human-looking is not real. But can sensitivity to this phenomenon, known as the uncanny valley, be predicted from superficially unrelated traits? Based on results from at least 489 participants, this study examines the relation between nine theoretically motivated trait indices and uncanny valley sensitivity, operationalized as increased eerie ratings and decreased warmth ratings for androids presented in videos. Animal Reminder Sensitivity, Neuroticism, its Anxiety facet, and Religious Fundamentalism significantly predicted uncanny valley sensitivity. (...)
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  • A unified framework for inhibitory control.Randall C. O'Reilly Yuko Munakata, Seth A. Herd, Christopher H. Chatham, Brendan E. Depue, Marie T. Banich - 2011 - Trends in Cognitive Sciences 15 (10):453.
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  • Negative priming reduces affective ratings.Oren Griffiths & Chris J. Mitchell - 2008 - Cognition and Emotion 22 (6):1119-1129.
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  • Ambiguous figures: Living versus nonliving objects.Ilse M. Verstijnen & Johan Wagemans - 1996 - In Enrique Villanueva (ed.), Perception. Ridgeview Pub. Co. pp. 33--5.
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