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How to Detect Insight Moments in Problem Solving Experiments
Arguably, it is not possible to study insight moments during problem solving without being able to accurately detect when they occur (Bowden and Jung-Beeman, 2007). Despite over a century of research on the insight moment, there is surprisingly little consensus on the best way to measure them in rea...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5854655/ https://www.ncbi.nlm.nih.gov/pubmed/29593598 http://dx.doi.org/10.3389/fpsyg.2018.00282 |
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author | Laukkonen, Ruben E. Tangen, Jason M. |
author_facet | Laukkonen, Ruben E. Tangen, Jason M. |
author_sort | Laukkonen, Ruben E. |
collection | PubMed |
description | Arguably, it is not possible to study insight moments during problem solving without being able to accurately detect when they occur (Bowden and Jung-Beeman, 2007). Despite over a century of research on the insight moment, there is surprisingly little consensus on the best way to measure them in real-time experiments. There have also been no attempts to evaluate whether the different ways of measuring insight converge. Indeed, if it turns out that the popular measures of insight diverge, then this may indicate that researchers who have used one method may have been measuring a different phenomenon to those who have used another method. We compare the strengths and weaknesses of the two most commonly cited ways of measuring insight: The feelings-of-warmth measure adapted from Metcalfe and Wiebe (1987), and the self-report measure adapted from Bowden and Jung-Beeman (2007). We find little empirical agreement between the two measures, and conclude that the self-report measure of Aha! is superior both methodologically and theoretically, and provides a better representation of what is commonly regarded as insight. We go on to describe and recommend a novel visceral measure of insight using a dynamometer as described in Creswell et al. (2016). |
format | Online Article Text |
id | pubmed-5854655 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58546552018-03-28 How to Detect Insight Moments in Problem Solving Experiments Laukkonen, Ruben E. Tangen, Jason M. Front Psychol Psychology Arguably, it is not possible to study insight moments during problem solving without being able to accurately detect when they occur (Bowden and Jung-Beeman, 2007). Despite over a century of research on the insight moment, there is surprisingly little consensus on the best way to measure them in real-time experiments. There have also been no attempts to evaluate whether the different ways of measuring insight converge. Indeed, if it turns out that the popular measures of insight diverge, then this may indicate that researchers who have used one method may have been measuring a different phenomenon to those who have used another method. We compare the strengths and weaknesses of the two most commonly cited ways of measuring insight: The feelings-of-warmth measure adapted from Metcalfe and Wiebe (1987), and the self-report measure adapted from Bowden and Jung-Beeman (2007). We find little empirical agreement between the two measures, and conclude that the self-report measure of Aha! is superior both methodologically and theoretically, and provides a better representation of what is commonly regarded as insight. We go on to describe and recommend a novel visceral measure of insight using a dynamometer as described in Creswell et al. (2016). Frontiers Media S.A. 2018-03-09 /pmc/articles/PMC5854655/ /pubmed/29593598 http://dx.doi.org/10.3389/fpsyg.2018.00282 Text en Copyright © 2018 Laukkonen and Tangen. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Laukkonen, Ruben E. Tangen, Jason M. How to Detect Insight Moments in Problem Solving Experiments |
title | How to Detect Insight Moments in Problem Solving Experiments |
title_full | How to Detect Insight Moments in Problem Solving Experiments |
title_fullStr | How to Detect Insight Moments in Problem Solving Experiments |
title_full_unstemmed | How to Detect Insight Moments in Problem Solving Experiments |
title_short | How to Detect Insight Moments in Problem Solving Experiments |
title_sort | how to detect insight moments in problem solving experiments |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5854655/ https://www.ncbi.nlm.nih.gov/pubmed/29593598 http://dx.doi.org/10.3389/fpsyg.2018.00282 |
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