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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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  • Does Japan really have robot mania? Comparing attitudes by implicit and explicit measures.Karl F. MacDorman, Sandosh K. Vasudevan & Chin-Chang Ho - 2009 - AI and Society 23 (4):485-510.
    Japan has more robots than any other country with robots contributing to many areas of society, including manufacturing, healthcare, and entertainment. However, few studies have examined Japanese attitudes toward robots, and none has used implicit measures. This study compares attitudes among the faculty of a US and a Japanese university. Although the Japanese faculty reported many more experiences with robots, implicit measures indicated both faculties had more pleasant associations with humans. In addition, although the US faculty reported people were more (...)
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  • What’s in a Word? Language Constructs Emotion Perception.Kristen A. Lindquist & Maria Gendron - 2013 - Emotion Review 5 (1):66-71.
    In this review, we highlight evidence suggesting that concepts represented in language are used to create a perception of emotion from the constant ebb and flow of other people’s facial muscle movements. In this “construction hypothesis,” (cf. Gendron, Lindquist, Barsalou, & Barrett, 2012) (see also Barrett, 2006b; Barrett, Lindquist, & Gendron, 2007; Barrett, Mesquita, & Gendron, 2011), language plays a constitutive role in emotion perception because words ground the otherwise highly variable instances of an emotion category. We demonstrate that language (...)
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  • Effects of Dynamic Aspects of Facial Expressions: A Review.Eva G. Krumhuber, Arvid Kappas & Antony S. R. Manstead - 2013 - Emotion Review 5 (1):41-46.
    A key feature of facial behavior is its dynamic quality. However, most previous research has been limited to the use of static images of prototypical expressive patterns. This article explores the role of facial dynamics in the perception of emotions, reviewing relevant empirical evidence demonstrating that dynamic information improves coherence in the identification of affect (particularly for degraded and subtle stimuli), leads to higher emotion judgments (i.e., intensity and arousal), and helps to differentiate between genuine and fake expressions. The findings (...)
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  • Emotion elicitation using films.James J. Gross & Robert W. Levenson - 1995 - Cognition and Emotion 9 (1):87-108.
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  • Categorical Perception for Emotional Faces.Jennifer M. B. Fugate - 2013 - Emotion Review 5 (1):84-89.
    Categorical perception (CP) refers to how similar things look different depending on whether they are classified as the same category. Many studies demonstrate that adult humans show CP for human emotional faces. It is widely debated whether the effect can be accounted for solely by perceptual differences (structural differences among emotional faces) or whether additional perceiver-based conceptual knowledge is required. In this review, I discuss the phenomenon of CP and key studies showing CP for emotional faces. I then discuss a (...)
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  • The enactive approach: Theoretical sketches from cell to society.Tom Froese & Ezequiel A. Di Paolo - 2011 - Pragmatics and Cognition 19 (1):1-36.
    There is a small but growing community of researchers spanning a spectrum of disciplines which are united in rejecting the still dominant computationalist paradigm in favor of theenactive approach. The framework of this approach is centered on a core set of ideas, such as autonomy, sense-making, emergence, embodiment, and experience. These concepts are finding novel applications in a diverse range of areas. One hot topic has been the establishment of an enactive approach to social interaction. The main purpose of this (...)
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  • The enactive approach: Theoretical sketches from cell to society.Tom Froese & Ezequiel A. Di Paolo - 2011 - Pragmatics and Cognition 19 (1):1-36.
    There is a small but growing community of researchers spanning a spectrum of disciplines which are united in rejecting the still dominant computationalist paradigm in favor of the enactive approach. The framework of this approach is centered on a core set of ideas, such as autonomy, sense-making, emergence, embodiment, and experience. These concepts are finding novel applications in a diverse range of areas. One hot topic has been the establishment of an enactive approach to social interaction. The main purpose of (...)
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  • Enactive artificial intelligence: Investigating the systemic organization of life and mind.Tom Froese & Tom Ziemke - 2009 - Artificial Intelligence 173 (3-4):466-500.
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  • Nonverbal Dialects and Accents in Facial Expressions of Emotion.Hillary Anger Elfenbein - 2013 - Emotion Review 5 (1):90-96.
    This article focuses on a theoretical account integrating classic and recent findings on the communication of emotions across cultures: a dialect theory of emotion. Dialect theory uses a linguistic metaphor to argue emotion is a universal language with subtly different dialects. As in verbal language, it is more challenging to understand someone speaking a different dialect—which fits with empirical support for an in-group advantage, whereby individuals are more accurate judging emotional expressions from their own cultural group versus foreign groups. Dialect (...)
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  • Can social interaction constitute social cognition?Hanne De Jaegher, Ezequiel Di Paolo & Shaun Gallagher - 2010 - Trends in Cognitive Sciences 14 (10):441-447.
    An important shift is taking place in social cognition research, away from a focus on the individual mind and toward embodied and participatory aspects of social understanding. Empirical results already imply that social cognition is not reducible to the workings of individual cognitive mechanisms. To galvanize this interactive turn, we provide an operational definition of social interaction and distinguish the different explanatory roles – contextual, enabling and constitutive – it can play in social cognition. We show that interactive processes are (...)
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  • Whatever next? Predictive brains, situated agents, and the future of cognitive science.Andy Clark - 2013 - Behavioral and Brain Sciences 36 (3):181-204.
    Brains, it has recently been argued, are essentially prediction machines. They are bundles of cells that support perception and action by constantly attempting to match incoming sensory inputs with top-down expectations or predictions. This is achieved using a hierarchical generative model that aims to minimize prediction error within a bidirectional cascade of cortical processing. Such accounts offer a unifying model of perception and action, illuminate the functional role of attention, and may neatly capture the special contribution of cortical processing to (...)
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  • The Construction of Emotion in Interactions, Relationships, and Cultures.Michael Boiger & Batja Mesquita - 2012 - Emotion Review 4 (3):221-229.
    Emotions are engagements with a continuously changing world of social relationships. In the present article, we propose that emotions are therefore best conceived as ongoing, dynamic, and interactive processes that are socially constructed. We review evidence for three social contexts of emotion construction that are embedded in each other: The unfolding of emotion within interactions, the mutual constitution of emotion and relationships, and the shaping of emotion at the level of the larger cultural context. Finally, we point to interdependencies amongst (...)
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  • A dynamical systems perspective on agent-environment interaction.Randall D. Beer - 1995 - Artificial Intelligence 72 (1-2):173-215.
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  • The influence of people’s culture and prior experiences with Aibo on their attitude towards robots.Christoph Bartneck, Tomohiro Suzuki, Takayuki Kanda & Tatsuya Nomura - 2007 - AI and Society 21 (1-2):217-230.
    This paper presents a cross-cultural study on peoples’ negative attitude toward robots. 467 participants from seven different countries filled in the negative attitude towards robots scale survey which consists of 14 questions in three clusters: attitude towards the interaction with robots, attitude towards social influence of robots and attitude towards emotions in interaction with robots. Around one half of them were recruited at local universities and the other half was approached through Aibo online communities. The participants’ cultural background had a (...)
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  • Cultural dialects of real and synthetic emotional facial expressions.Zsófia Ruttkay - 2009 - AI and Society 24 (3):307-315.
    In this article we discuss the aspects of designing facial expressions for virtual humans (VHs) with a specific culture. First we explore the notion of cultures and its relevance for applications with a VH. Then we give a general scheme of designing emotional facial expressions, and identify the stages where a human is involved, either as a real person with some specific role, or as a VH displaying facial expressions. We discuss how the display and the emotional meaning of facial (...)
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  • Measurement of negative attitudes toward robots.Tatsuya Nomura, Tomohiro Suzuki, Takayuki Kanda & Kensuke Kato - 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):437-454.
    A great deal of research has been performed recently on robots that feature functions for communicating with humans in daily life, i.e., communication robots. We consider it important to develop methods to measure humans’ attitudes and emotions that may prevent them from interaction with communication robots, as indices to study short-term and long-term interaction between humans and communication robots. This study is aimed at exploring the influence of negative attitudes toward robots, focusing on applications of communication robots to daily-life services. (...)
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  • Universality Revisited.Nicole L. Nelson & James A. Russell - 2013 - Emotion Review 5 (1):8-15.
    Evidence does not support the claim that observers universally recognize basic emotions from signals on the face. The percentage of observers who matched the face with the predicted emotion (matching score) is not universal, but varies with culture and language. Matching scores are also inflated by the commonly used methods: within-subject design; posed, exaggerated facial expressions (devoid of context); multiple examples of each type of expression; and a response format that funnels a variety of interpretations into one word specified by (...)
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  • Culture in Mind: Cognition, Culture, and the Problem of Meaning.Bradd Shore - 1996 - Oup Usa.
    Culture in Mind is an ethnographic portrait of the human mind. Using case studies from both western and nonwestern societies. Shore argues that "cultural models" are necessary to the functioning of the human mind. Drawing on recent developments in cognitive science as well as anthropology, Culture in Mind explores the cognitive world of culture in the ongoing production of meaning in everyday thinking and feeling.
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