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<p>The nature and basis of creative thought has been the subject of wide-ranging inquiry. It is well established that people tend to struggle to solve problems that require an insight—and that this limitation is not readily alleviated. What can help produce more successful creative cognition? We propose a benefit from increased focus on the relations that hold between the elements of a problem situation. The present research addresses a novel technique to promote relational encoding by guiding participants to generate relational content connecting problem elements. In two experiments, we find that participants who engage in relational encoding are more likely to solve insight problems than controls. Theoretical and applied implications of the findings are addressed.</p>

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Relational encoding promotes creative insight for problem-solving

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年1月24日

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  • Kenneth J. Kurtz,
  • Leif Haley,
  • Alexus Longo,
  • Shanti Astra,
  • Hannah Meltzer,
  • Gavin Suwara,
  • John D. Patterson

摘要

The nature and basis of creative thought has been the subject of wide-ranging inquiry. It is well established that people tend to struggle to solve problems that require an insight—and that this limitation is not readily alleviated. What can help produce more successful creative cognition? We propose a benefit from increased focus on the relations that hold between the elements of a problem situation. The present research addresses a novel technique to promote relational encoding by guiding participants to generate relational content connecting problem elements. In two experiments, we find that participants who engage in relational encoding are more likely to solve insight problems than controls. Theoretical and applied implications of the findings are addressed.