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  1. The Power of a “Maverick” in Collaborative Problem Solving: An Experimental Investigation of Individual Perspective‐Taking Within a Group.Yugo Hayashi - 2018 - Cognitive Science 42 (S1):69-104.
    Integrating different perspectives is a sophisticated strategy for developing constructive interactions in collaborative problem solving. However, cognitive aspects such as individuals’ knowledge and bias often obscure group consensus and produce conflict. This study investigated collaborative problem solving, focusing on a group member interacting with another member having a different perspective. It was predicted that mavericks might mitigate disadvantages and facilitate perspective taking during problem solving. Thus, 344 university students participated in two laboratory-based experiments by engaging in a simple rule-discovery task (...)
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  • Soft constraints in interactive behavior: the case of ignoring perfect knowledge in‐the‐world for imperfect knowledge in‐the‐head*,*.Wayne D. Gray & Wai-Tat Fu - 2004 - Cognitive Science 28 (3):359-382.
    Constraints and dependencies among the elements of embodied cognition form patterns or microstrategies of interactive behavior. Hard constraints determine which microstrategies are possible. Soft constraints determine which of the possible microstrategies are most likely to be selected. When selection is non‐deliberate or automatic the least effort microstrategy is chosen. In calculating the effort required to execute a microstrategy each of the three types of operations, memory retrieval, perception, and action, are given equal weight; that is, perceptual‐motor activity does not have (...)
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  • Self‐Repair Increases Referential Coordination.Gregory Mills & Gisela Redeker - 2023 - Cognitive Science 47 (8):e13329.
    When interlocutors repeatedly describe referents to each other, they rapidly converge on referring expressions which become increasingly systematized and abstract as the interaction progresses. Previous experimental research suggests that interactive repair mechanisms in dialogue underpin convergence. However, this research has so far only focused on the role of other-initiated repair and has not examined whether self-initiated repair might also play a role. To investigate this question, we report the results from a computer-mediated maze task experiment. In this task, participants communicate (...)
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  • Interaction Promotes the Adaptation of Referential Conventions to the Communicative Context.Lucía Castillo, Kenny Smith & Holly P. Branigan - 2019 - Cognitive Science 43 (8):e12780.
    Coordination between speakers in dialogue requires balancing repetition and change, the old and the new. Interlocutors tend to reuse established forms, relying on communicative precedents. Yet linguistic interaction also necessitates adaptation to changing contexts or dynamic tasks, which might favor abandoning existing precedents in favor of better communicative alternatives. We explored this tension using a maze game task in which individual participants and interacting pairs had to describe figures and their positions in one of two possible maze types: a regular (...)
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  • Soft constraints in interactive behavior: the case of ignoring perfect knowledge in-the-world for imperfect knowledge in-the-head*1, *2.Wayne D. Gray & Wai-Tat Fu - 2004 - Cognitive Science 28 (3):359-382.
    Constraints and dependencies among the elements of embodied cognition form patterns or microstrategies of interactive behavior. Hard constraints determine which microstrategies are possible. Soft constraints determine which of the possible microstrategies are most likely to be selected. When selection is non-deliberate or automatic the least effort microstrategy is chosen. In calculating the effort required to execute a microstrategy each of the three types of operations, memory retrieval, perception, and action, are given equal weight; that is, perceptual-motor activity does not have (...)
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  • Argumentation and Explanation in Conceptual Change: Indications From Protocol Analyses of Peer‐to‐Peer Dialog.Christa S. C. Asterhan & Baruch B. Schwarz - 2009 - Cognitive Science 33 (3):374-400.
    In this paper we attempt to identify which peer collaboration characteristics may be accountable for conceptual change through interaction. We focus on different socio‐cognitive aspects of the peer dialog and relate these with learning gains on the dyadic as well as the individual level. The scientific topic that was used for this study concerns natural selection, a topic for which students’ intuitive conceptions have been shown to be particularly robust. Learning tasks were designed according to the socio‐cognitive conflict instructional paradigm. (...)
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  • Physically distributed learning: Adapting and reinterpreting physical environments in the development of fraction concepts.Taylor Martin & Daniel L. Schwartz - 2005 - Cognitive Science 29 (4):587-625.
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  • The effect of expertise on collaborative problem solving.Timothy J. Nokes-Malach, Michelle L. Meade & Daniel G. Morrow - 2012 - Thinking and Reasoning 18 (1):32 - 58.
    Why do some groups succeed where others fail? We hypothesise that collaborative success is achieved when the relationship between the dyad's prior expertise and the complexity of the task creates a situation that affords constructive and interactive processes between group members. We call this state the zone of proximal facilitation in which the dyad's prior knowledge and experience enables them to benefit from both knowledge-based problem-solving processes (e.g., elaboration, explanation, and error correction) andcollaborative skills (e.g., creating common ground, maintaining joint (...)
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