4 found
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  1.  34
    Improving the past and the future: A temporal asymmetry in hypothetical thinking.Donatella Ferrante, Vittorio Girotto, Marta Stragà & Clare Walsh - 2013 - Journal of Experimental Psychology: General 142 (1):23.
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  2.  27
    “The game would have been better for me if…”: children’s counterfactual thinking about their own performance in a game.Marta Stragà, Angela Faiella, Ingrid Santini & Donatella Ferrante - 2023 - Thinking and Reasoning 29 (4):663-697.
    The mental simulation of past and future scenarios allows individuals to understand the past, make predictions about the future, plan and regulate their behavior. A great deal of research has focus...
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  3.  7
    Mark it out! Spontaneous cognitive offloading in route planning.Irene Florean, Marta Stragà, Timo Mäntylä & Fabio Del Missier - forthcoming - Thinking and Reasoning.
    We examined spontaneous external offloading in a study requiring participants to plan the shortest route to connect locations on maps while satisfying ordering constraints. We manipulated map difficulty (low/high) and the possibility for participants to offload cognition by allowing/not allowing them to use a pen during planning (offloading/no offloading). Participants used more types of offloading strategies in the high (vs. low) difficulty maps and showed a better performance in the offloading (vs. no offloading) condition in the high difficulty maps only. (...)
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  4.  36
    External Time Monitoring in Time‐Based Prospective Memory: An Integrative Framework.Giulio Munaretto, Marta Stragà, Timo Mäntylä, Giovanna Mioni & Fabio Del Missier - 2022 - Cognitive Science 46 (12):e13216.
    We propose a new integrative framework of external time monitoring in prospective memory (PM) tasks and its relation with performance. Starting from existing empirical regularities and our theoretical analysis, the framework predicts that external monitoring in PM tasks comprises a first stage of loose monitoring to keep track of the passage of time, and a subsequent stage of finer-grained monitoring, based on interval reduction, to meet the PM deadline. Following our framework, we predicted and observed in three different datasets (N (...)
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