A Visual Representation to Quantitate,Diagnose, and Improve Creativity in Insight Problem Solving

A new visual representation for insight problems permits 22 new quantitative measures; which leads to a detailed diagnosis of a person's (or team's) creative weaknesses; which then leads to prescribing targeted, effective counter‐techniques for each weakness. Currently, only two measures are consistently used for insight problem solving: the number of problems solved and the time to solve the problems. These coarse measurements do not reveal the intricate dynamics of solving insight problems. Furthermore, four commonly used creativity measures (i.e., fluency, originality, flexibility, and elaboration) are often not applied to insight problems. This new visualization permits the easy application of all four creativity measures. I challenge creativity researchers to help determine which of the 22 proposed quantitative measures are the most diagnostic for insight problem solving in isolation and, in a weighted linear combination, which might yield an effective quotient (i.e., overall measure) of insight problem solving ability.     

Do People Really Have Insights in the Shower? The When,Where and Who of the Aha! Moment

While there are well‐known anecdotes and documented insight cases by renowned scientists and inventors, little is known about the experiences of insight in the general population. The present study aimed to determine peoples' self‐reported experience of insight in their daily lives. Using an online questionnaire, responses were obtained from 1,114 respondents. Eighty‐percent reported having insights. These respondents reported demographic information and answered three open‐ended questions on where their insights occur, what insights are and other thoughts on insight. A greater percentage of those who have insights are, female, younger, highly educated, and involved in occupations including, management, sciences, arts and service professions. The qualitative results uncovered eight major themes, reflecting on the places people have insights: At night, work, shower, home, when it is quiet, transport, while exercising, and in nature. Two major themes emerged on what insights are: Something from the subconscious, and a result of (not) thinking. Finally, three major themes emerged from the third question on thoughts they would like to share on insight: The improvement of insight with age, the importance of analyzing the details of the problem, and the unexpectedness of the solution. Results are discussed in the context of the current experimental research on insight.     

Ego depletion improves insight

Initial acts of self-control can reduce effort and performance on subsequent tasks – a phenomenon known as ego depletion. Ego depletion is thought to undermine the capacity or willingness to engage executive control, an important determinant of success for many tasks. We examined whether ego depletion improves performance on a task that favours less executive control: insight problem solving. In two experiments, participants completed an ego-depletion manipulation or a non-depleting control condition followed by an insight problem-solving task (i.e., matchstick arithmetic). Participants in the depleting condition demonstrated greater insight problem-solving accuracy than those in the non-depleting control condition. Priming theories of willpower did not impact these results. Although ego depletion is widely regarded as a “state of impairment”, attendant decreases in executive control may foster insightful thinking.     

Action planning in sequential skills: Relations to music performance

The hypothesis that planning music-like sequential actions involves anticipating their auditory effects was investigated in a series of experiments. Participants with varying levels of musical experience responded to each of four colour-patch stimuli by producing a unique sequence of three taps on three vertically aligned keys. Each tap triggered a tone in most experimental conditions. Response–effect (key-to-tone) mapping was either compatible—taps on the top, middle, and bottom keys triggered high, medium, and low pitched tones, respectively—or incompatible—key-to-tone mapping was scrambled, reversed, or neutral (taps on different keys triggered the same tone). The results suggest that action planning was faster with compatible than with incompatible mappings (and faster than with no tones). Furthermore, the size of this compatibility effect grew with increasing musical experience, which suggests that improvements in auditory imagery ability that typically accompany musical training may augment the role of anticipatory auditory-effect representations during planning.     

Comparing Multiple Paths to Mastery: What is Learned?

Contemporary theories of learning postulate one or at most a small number of different learning mechanisms. However, people are capable of mastering a given task through qualitatively different learning paths such as learning by instruction and learning by doing. We hypothesize that the knowledge acquired through such alternative paths differs with respect to the level of abstraction and the balance between declarative and procedural knowledge. In a laboratory experiment we investigated what was learned about patterned letter sequences via either direct instruction in the relevant patterns or practice in solving letter-sequence extrapolation problems. Results showed that both types of learning led to mastery of the target task as measured by accuracy performance. However, behavioral differences emerged in how participants applied their knowledge. Participants given instruction showed more variability in the types of strategies they used to articulate their knowledge as well as longer solution times for generating the action implications of that knowledge as compared to the participants given practice. Results are discussed regarding the implications for transfer, generalization, and procedural application. Learning theories that claim generality should be tested against cross-scenario phenomena, not just parametric variations of a single learning scenario.     

The One-to-One Constraint in Analogical Mapping and Inference

Theories of analogical reasoning have assumed that a 1-to-1 constraint discourages reasoners from mapping a single element in 1 analog to multiple elements in another. Empirical evidence suggests that reasoners sometimes appear to violate the one-to-one constraint when asked to generate mappings, yet virtually never violate it when asked to generate analogical inferences. However, few studies have examined analogical inferences based on nonisomorphic analogs, and their conclusions are suspect due to methodological problems. We sought to elicit mixed inferences that could result from combining information from 2 possible mappings. Participants generated 2-to-1 correspondences when asked for explicit mappings, but did not produce mixed inferences. Multiple correspondences appear to arise from multiple isomorphic mappings, rather than from a single homomorphic mapping.     

Eight-dimensional methodology for innovative thinking about the case and ethics of the mount graham,large binocular telescope project

This paper introduces the Eight Dimensional Methodology for Innovative Thinking (the Eight Dimensional Methodology), for innovative problem solving, as a unified approach to case analysis that builds on comprehensive problem solving knowledge from industry, business, marketing, math, science, engineering, technology, arts, and daily life. It is designed to stimulate innovation by quickly generating unique “out of the box” unexpected and high quality solutions. It gives new insights and thinking strategies to solve everyday problems faced in the workplace, by helping decision makers to see otherwise obscure alternatives and solutions. Daniel Raviv, the engineer who developed the Eight Dimensional Methodology, and paper co-author, technology ethicist Rosalyn Berne, suggest that this tool can be especially useful in identifying solutions and alternatives for particular problems of engineering, and for the ethical challenges which arise with them. First, the Eight Dimensional Methodology helps to elucidate how what may appear to be a basic engineering problem also has ethical dimensions. In addition, it offers to the engineer a methodology for penetrating and seeing new dimensions of those problems. To demonstrate the effectiveness of the Eight Dimensional Methodology as an analytical tool for thinking about ethical challenges to engineering, the paper presents the case of the construction of the Large Binocular Telescope (LBT) on Mount Graham in Arizona. Analysis of the case offers to decision makers the use of the Eight Dimensional Methodology in considering alternative solutions for how they can proceed in their goals of exploring space. It then follows that same process through the second stage of exploring the ethics of each of those different solutions. The LBT project pools resources from an international partnership of universities and research institutes for the construction and maintenance of a highly sophisticated, powerful new telescope. It will soon mark the erection of the world’s largest and most powerful optical telescope, designed to see fine detail otherwise visible only from space. It also represents a controversial engineering project that is being undertaken on land considered to be sacred by the local, native Apache people. As presented, the case features the University of Virginia, and its challenges in consideration of whether and how to join the LBT project consortium. Earlier versions of this paper were presented at the “Ethics and Social Responsibility in Engineering and Technology” meeting, New Orlenas, 2003 and at the American Society of Engineering Education (ASEE) annual Meeting, 2003.     

Acquiring an understanding of design: evidence from children's insight problem solving

The human ability to make tools and use them to solve problems may not be zoologically unique, but it is certainly extraordinary. Yet little is known about the conceptual machinery that makes humans so competent at making and using tools. Do adults and children have concepts specialized for understanding human-made artifacts? If so, are these concepts deployed in attempts to solve novel problems? Here we present new data, derived from problem-solving experiments, which support the following. (i) The structure of the child's concept of artifact function changes profoundly between ages 5 and 7. At age 5, the child's conceptual machinery defines the function of an artifact as any goal a user might have; by age 7, its function is defined by the artifact's typical or intended use. (ii) This conceptual shift has a striking effect on problem-solving performance, i.e. the child's concept of artifact function appears to be deployed in problem solving. (iii) This effect on problem solving is not caused by differences in the amount of knowledge that children have about the typical use of a particular tool; it is mediated by the structure of the child's artifact concept (which organizes and deploys the child's knowledge). In two studies, children between 5 and 7 years of age were matched for their knowledge of what a particular artifact "is for", and then given a problem that can only be solved if that tool is used for an atypical purpose. All children performed well in a baseline condition. But when they were primed by a demonstration of the artifact's typical function, 5-year-old children solved the problem much faster than 6-7-year-old children. Because all children knew what the tools were for, differences in knowledge alone cannot explain the results. We argue that the older children were slower to solve the problem when the typical function was primed because (i) their artifact concept plays a role in problem solving, and (ii) intended purpose is central to their concept of artifact function, but not to that of the younger children.     

Sources of individual differences in fraction skills

The purpose of this investigation was to evaluate a conceptual model of relations between two kinds of mathematical knowledge (simple arithmetic and conceptual knowledge), two kinds of child characteristics (working memory and on-task related classroom behavior), and individual differences in three kinds of fraction outcomes (fraction computation, estimation, and word problems) in 105 fifth grade students. Structural equation modeling provided consistent evidence that conceptual knowledge independently contributes to individual differences in the three fraction outcomes. Simple arithmetic knowledge was uniquely related only to variability in fraction computation skills. Mathematical knowledge was found to mediate some of the contributions of both working memory and classroom behavior on variability in fraction outcomes. These supported mediating processes extend the current literature by explication of the pathways via which characteristics of children may affect individual differences in fraction outcomes.     

Thorndike's Puzzle Boxes And The Origins Of The Experimental Analysis Of Behavior

The year of Thorndike's dissertation on animal intelligence, 1898, may mark the beginning of the field that eventually became known as the experimental analysis of behavior. The dissertation began a major shift in thinking about animal and human learning, provided important methodological innovations, and carried the seeds of later research and theory, particularly by B. F. Skinner. Although Thorndike was an associationist in 1898, the dissertation began the systematic search for fundamental behavioral processes, and laid the foundation for an empirical science of behavior.