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  1. Initial judgment of solvability: integrating prior expectations with experience-based heuristic cues.Tirza Lauterman & Rakefet Ackerman - 2024 - Thinking and Reasoning 30 (1):135-168.
    Initial Judgment of Solvability (iJOS) is a metacognitive judgment that reflects solvers’ first impression as to whether a problem is solvable. We hypothesized that iJOS is inferred by combining prior expectations about the entire task with heuristic cues derived from each problem’s elements. In two experiments participants first provided quick iJOSs for all problems, then attempted to solve them. We manipulated expectations by changing the proportion of solvable problems conveyed to participants, 33%, 50%, or 66%, while the true proportion was (...)
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  • A Systematic Review of Creativity-Related Studies Applying the Remote Associates Test From 2000 to 2019.Ching-Lin Wu, Shih-Yuan Huang, Pei-Zhen Chen & Hsueh-Chih Chen - 2020 - Frontiers in Psychology 11.
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  • Bullshit receptivity, problem solving, and metacognition: simply the BS, not better than all the rest.Tim George & Marta K. Mielicki - 2023 - Thinking and Reasoning 29 (2):213-249.
    People are often inaccurate in their predictions of performance on a variety of cognitive tasks. We tested whether receptivity to bullshit – the tendency to perceive meaningless statements as profound – would relate to the accuracy of metacognitive judgments on several problem-solving tasks. Individuals who were highly receptive to bullshit were less accurate in their predictions of performance on creative problem-solving tasks, but not on verbal analogy or recall tasks. Further, individuals with high BS receptivity were less able to discriminate (...)
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  • Using confidence and consensuality to predict time invested in problem solving and in real-life web searching.Rakefet Ackerman, Elad Yom-Tov & Ilan Torgovitsky - 2020 - Cognition 199:104248.
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  • Mindset effects on the regulation of thinking time in problem-solving.Rakefet Ackerman & Liat Levontin - forthcoming - Thinking and Reasoning.
    Understanding time investment while solving problems is central to metacognitive research. By the Diminishing Criterion Model (DCM), time regulation is guided by two stopping rules: a confidence criterion that drops as time is invested in each problem and the maximum time to be invested. This combination generates curved confidence–time associations. We compared the belief that intelligence is malleable, a growth mindset, to the belief that intelligence is fixed, and to neutral control groups. We hypothesized that a growth mindset leads people (...)
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