scholarly journals Markers of Insight

2021 ◽  
Author(s):  
Carola Salvi

Sometimes creative ideas come to mind following a step-by-step conscious reasoning, other times they rush into consciousness unexpectedly as sudden insights. Research on insight problem solving began about a century ago with a chimpanzee having an Aha! moment on how to pile up some boxes to reach a banana that was hanging from the ceiling (Köhler, 1917). Thanks to the development of neuroscientific techniques, researchers gained a better understanding of the physiology associated with insight, supplemented classic theories, and raised new questions about the cognitive processes involved in it. With the final goal of sketching a comprehensive understanding of the neurocognitive bases of insight, this chapter describes and updates the knowledge we gained about its functioning. A review of the last two decades of research on the ‘markers of insight’ revealed that: a) insights are paired with an internal attention allocation; b) the right anterior temporal lobe is a key node for insights, and if stimulated the frequency of insights increases; c) the feeling of pleasure and excitement that accompanies insights is warranted by the involvement of the reward-dopamine system; d) pupil dilation marks the switch into awareness of Aha! moments. Taken together these results indicate that insight below awareness processing might be explained by the involvement of subcortical areas responsible for learning, alertness, and emotions which are evolutionary more ancient than the cortex and it involves areas of the cortex responsible for information integration presumably together/after the switch into awareness. In conclusion, I summarize these points in terms of the defining characteristics of having an insight.

2020 ◽  
Vol 5 ◽  
Author(s):  
Maria Bagassi ◽  
Laura Macchi

Solving or attempting to solve problems is the typical and, hence, general function of thought. A theory of problem solving must first explain how the problem is constituted, and then how the solution happens, but also how it happens that it is not solved; it must explain the correct answer and with the same means the failure. The identification of the way in which the problem is formatted should help to understand how the solution of the problems happens, but even before that, the source of the difficulty. Sometimes the difficulty lies in the calculation, the number of operations to be performed, and the quantity of data to be processed and remembered. There are, however, other problems – the insight problems – in which the difficulty does not lie so much in the complexity of the calculations, but in one or more critical points that are susceptible to misinterpretation, incompatible with the solution. In our view, the way of thinking involved in insight problem solving is very close to the process involved in the understanding of an utterance, when a misunderstanding occurs. In this case, a more appropriate meaning has to be selected to resolve the misunderstanding (the “impasse”), the default interpretation (the “fixation”) has to be dropped in order to “restructure.” to grasp another meaning which appears more relevant to the context and the speaker’s intention (the “aim of the task”). In this article we support our view with experimental evidence, focusing on how a misunderstanding is formed. We have studied a paradigmatic insight problem, an apparent trivial arithmetical task, the Ties problem. We also reviewed other classical insight problems, reconsidering in particular one of the most intriguing one, which at first sight appears impossible to solve, the Study Window problem. By identifying the problem knots that alter the aim of the task, the reformulation technique has made it possible to eliminate misunderstanding, without changing the mathematical nature of the problem. With the experimental versions of the problems exposed we have obtained a significant increase in correct answers. Studying how an insight problem is formed, and not just how it is solved, may well become an important topic in education. We focus on undergraduate students’ strategies and their errors while solving problems, and the specific cognitive processes involved in misunderstanding, which are crucial to better exploit what could be beneficial to reach the solution and to teach how to improve the ability to solve problems.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Carola Salvi ◽  
Mark Beeman ◽  
Marom Bikson ◽  
Richard McKinley ◽  
Jordan Grafman

Neuroscience ◽  
2014 ◽  
Vol 256 ◽  
pp. 334-341 ◽  
Author(s):  
Q. Zhao ◽  
Z. Zhou ◽  
H. Xu ◽  
W. Fan ◽  
L. Han

2018 ◽  
Vol 32 (3) ◽  
pp. 97-105 ◽  
Author(s):  
Wangbing Shen ◽  
Yuan Yuan ◽  
Chaoying Tang ◽  
Chunhua Shi ◽  
Chang Liu ◽  
...  

Abstract. A considerable number of behavioral and neuroscientific studies on insight problem solving have revealed behavioral and neural correlates of the dynamic insight process; however, somatic correlates, particularly somatic precursors of creative insight, remain undetermined. To characterize the somatic precursor of spontaneous insight, 22 healthy volunteers were recruited to solve the compound remote associate (CRA) task in which a problem can be solved by either an insight or an analytic strategy. The participants’ peripheral nervous activities, particularly electrodermal and cardiovascular responses, were continuously monitored and separately measured. The results revealed a greater skin conductance magnitude for insight trials than for non-insight trials in the 4-s time span prior to problem solutions and two marginally significant correlations between pre-solution heart rate variability (HRV) and the solution time of insight trials. Our findings provide the first direct evidence that spontaneous insight in problem solving is a somatically peculiar process that is distinct from the stepwise process of analytic problem solving and can be represented by a special somatic precursor, which is a stronger pre-solution electrodermal activity and a correlation between problem solution time and certain HRV indicators such as the root mean square successive difference (RMSSD).


Author(s):  
Michael Öllinger ◽  
Gary Jones ◽  
Günther Knoblich

Insights are often productive outcomes of human thinking. We provide a cognitive model that explains insight problem solving by the interplay of problem space search and representational change, whereby the problem space is constrained or relaxed based on the problem representation. By introducing different experimental conditions that either constrained the initial search space or helped solvers to initiate a representational change, we investigated the interplay of problem space search and representational change in Katona’s five-square problem. Testing 168 participants, we demonstrated that independent hints relating to the initial search space and to representational change had little effect on solution rates. However, providing both hints caused a significant increase in solution rates. Our results show the interplay between problem space search and representational change in insight problem solving: The initial problem space can be so large that people fail to encounter impasse, but even when representational change is achieved the resulting problem space can still provide a major obstacle to finding the solution.


2020 ◽  
Author(s):  
Maxi Becker ◽  
Simone Kühn ◽  
Tobias Sommer

In this article, we investigate insight problem solving by exploring the subjective AHA! experience as a function of restructuring of a problem. It has long been assumed that the AHA! experience is the direct consequence of restructuring. However, is this assumption justified?We will argue that a) the AHA! experience does not always result from prior restructuring and that b) solutions with accompanied AHA! do not underlie a single neurocognitive process. In this regard, we use a modified compound remote associates (CRA) paradigm designed to experimentally dissociate restructuring from the AHA! experience. Results indicate that solutions accompanied by an AHA! are often found also in absence of restructuring. This finding is explained by proposing distinct CRA solution processes that differentiate between AHA! solutions with and without restructuring. We predict that solutions with accompanied AHA! experience differ in their behavioral, neural and eye-tracking related signature as a function of restructuring. The results mostly support these predictions. These findings have implications for insight research: First, by only measuring the subjective AHA! experience especially using CRAs it cannot be implied anymore that restructuring has occurred. Second, it is vital to experimentally separate the different components of insight to better understand its underlying diverse neurocognitive processes.


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