11 found
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  1. The elephant in the room: What matters cognitively in cumulative technological culture.François Osiurak & Emanuelle Reynaud - 2020 - Behavioral and Brain Sciences 43:e156.
    Cumulative technological culture (CTC) refers to the increase in the efficiency and complexity of tools and techniques in human populations over generations. A fascinating question is to understand the cognitive origins of this phenomenon. Because CTC is definitely a social phenomenon, most accounts have suggested a series of cognitive mechanisms oriented toward the social dimension (e.g., teaching, imitation, theory of mind, and metacognition), thereby minimizing the technical dimension and the potential influence of non-social, cognitive skills. What if we have failed (...)
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    Roles of Technical Reasoning, Theory of Mind, Creativity, and Fluid Cognition in Cumulative Technological Culture.Emmanuel De Oliveira, Emanuelle Reynaud & François Osiurak - 2019 - Human Nature 30 (3):326-340.
    Cumulative technological culture can be defined as the progressive diversification, complexification, and enhancement of technological traits through generations. An outstanding issue is to specify the cognitive bases of this phenomenon. Based on the literature, we identified four potential cognitive factors: namely, theory-of-mind, technical-reasoning, creativity, and fluid-cognitive skills. The goal of the present study was to test which of these factors—or a combination thereof—best predicted the cumulative performance in two experimental, micro-society conditions differing in the nature of the interaction allowed between (...)
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    The elephant in the China shop: When technical reasoning meets cumulative technological culture.François Osiurak & Emanuelle Reynaud - 2020 - Behavioral and Brain Sciences 43.
    The commentaries have both revealed the implications of and challenged our approach. In this response, we reply to these concerns, discuss why the technical-reasoning hypothesis does not minimize the role of social-learning mechanisms – nor assume that technical-reasoning skills make individuals omniscient technically – and make suggestions for overcoming the classical opposition between the cultural versus cognitive niche hypothesis of cumulative technological culture.
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    On the Neurocognitive Co‐Evolution of Tool Behavior and Language: Insights from the Massive Redeployment Framework.François Osiurak, Caroline Crétel, Natalie Uomini, Chloé Bryche, Mathieu Lesourd & Emanuelle Reynaud - 2021 - Topics in Cognitive Science 13 (4):684-707.
    Understanding the link between brain evolution and the evolution of distinctive features of modern human cognition is a fundamental challenge. A still unresolved question concerns the co-evolution of tool behavior (i.e., tool use or tool making) and language. The shared neurocognitive processes hypothesis suggests that the emergence of the combinatorial component of language skills within the frontal lobe/Broca's area made possible the complexification of tool-making skills. The importance of the frontal lobe/Broca's area in tool behavior is somewhat surprising with regard (...)
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    On the Neurocognitive Co‐Evolution of Tool Behavior and Language: Insights from the Massive Redeployment Framework.François Osiurak, Caroline Crétel, Natalie Uomini, Chloé Bryche, Mathieu Lesourd & Emanuelle Reynaud - 2021 - Topics in Cognitive Science 13 (4):684-707.
    Understanding the link between brain evolution and the evolution of distinctive features of modern human cognition is a fundamental challenge. A still unresolved question concerns the co-evolution of tool behavior (i.e., tool use or tool making) and language. The shared neurocognitive processes hypothesis suggests that the emergence of the combinatorial component of language skills within the frontal lobe/Broca's area made possible the complexification of tool-making skills. The importance of the frontal lobe/Broca's area in tool behavior is somewhat surprising with regard (...)
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    The Pedagogue, the Engineer, and the Friend.François Osiurak, Caroline Cretel, Naomi Duhau-Marmon, Isabelle Fournier, Lucie Marignier, Emmanuel De Oliveira, Jordan Navarro & Emanuelle Reynaud - 2020 - Human Nature 31 (4):462-482.
    Humans can follow different social learning strategies, sometimes oriented toward the models’ characteristics. The goal of the present study was to explore which who-strategy is preferentially followed in the technological context based on the models’ psychological characteristics. We identified three potential who-strategies: Copy the pedagogue, copy the engineer, and copy the friend. We developed a closed-group micro-society paradigm in which participants had to build the highest possible towers. Participants began with an individual building phase. Then, they were gathered to discuss (...)
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    Which cognitive tools do we prefer to use, and is that preference rational?Boris Alexandre, Jordan Navarro, Emanuelle Reynaud & François Osiurak - 2019 - Cognition 186:108-114.
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    What can eye-movements analyses tell us about driving behaviors?Jordan Navarro & Emanuelle Reynaud - 2018 - Frontiers in Human Neuroscience 12.
  9.  15
    How Our Cognition Shapes and Is Shaped by Technology: A Common Framework for Understanding Human Tool-Use Interactions in the Past, Present, and Future.François Osiurak, Jordan Navarro & Emanuelle Reynaud - 2018 - Frontiers in Psychology 9.
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    On the Temporal Dynamics of Tool Use.François Osiurak, Giovanni Federico, Maria A. Brandimonte, Emanuelle Reynaud & Mathieu Lesourd - 2020 - Frontiers in Human Neuroscience 14.
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    There’s a brain behind the wheel: a meta-analysis of neuroimaging studies of car driving in simulated environments.Emanuelle Reynaud, François Osiurak & Jordan Navarro - 2018 - Frontiers in Human Neuroscience 12.