Extroversion Personality,Domain Knowledge,and the Creativity of New Product Development Engineers

Creativity refers to a person’s thinking of new and useful ideas at work. Drawing on the personality literature, this study proposes that employees with high extroversion personality will exchange job relevant information with colleagues to generate creativity. Drawing on the information exchange theory, this study further proposes that the effect of extroversion personality with creativity via information exchange will be stronger for workers with insufficient domain knowledge. Data collected from Taiwanese new product development engineers support our hypotheses. Previous research found that extroverted persons perform more creatively because they are more confident in their abilities. This study further demonstrates that, after controlling for self-efficacy, extroverted engineers can still think of creative ideas via exchanging information with colleagues. Although domain knowledge has been shown as crucial to creativity, few studies have explored how to stimulate creative ideas from workers with insufficient domain knowledge. This study demonstrates a useful substitute for domain knowledge, namely the extroversion personality, which may inspire creativity via exchanging information with colleagues.     

知识经验与顿悟：来自认知神经科学的证据

知识经验对于顿悟问题解决是一把双刃剑,强势知识会阻碍顿悟问题解决,弱势知识才是顿悟问题解决的关键。强势知识引导的组块效应、约束效应和固着效应等心理定势现象,“帮助”问题解决者以惯用方案来理解、思考和解决问题。之所以会这样,可能是因为大脑内存在一套具有优先级差的层级加工系统,赋予惯用方案的优先级最高。不过,惯用方案不仅不能够解决顿悟问题,而且还会通过注意竞争和注意失灵方式来阻碍新异方案的探索和执行,所以,问题解决者往往都会进入思维僵局。僵局的打破和顿悟的实现,需要抑制住强势知识及其相关的惯用方案、激活弱势知识和新异方案,这违反了大脑的认知加工惯性,是很难以自发发生的。但是,可以通过激活扩散来增强弱势知识的激活水平,或者是拓宽注意范围、提高注意灵活性来增加弱势知识激活的可能性,从而促进顿悟问题解决。     

Seventh Graders' Academic Achievement,Creativity, and Ability to Construct a Cross‐domain Concept Map — A Brain Function Perspective

This study proposes an interactive model of cross‐domain concept mapping with an emphasis on brain functions, and it further investigates the relationships between academic achievement, creative thinking, and cross‐domain concept mapping. Sixty‐nine seventh graders participated in this study which employed two 50–minute instructional sessions. The findings suggest that (a) the seventh graders may lack the awareness or ability to integrate knowledge and make connections between their learning and life experiences; (b) creative thinking, academic learning and concept mapping share similar capacities; and (c) cross‐domain concept mapping, which fosters cross‐domain information integration and connections between learning and life experiences, can be an efficient mental tool in understanding a student's creative thinking and academic learning.     

Domain Specificity and the Limits of Creativity Theory

A growing body of research evidence suggests that creativity is very domain‐specific and that domain‐general skills or traits contribute little to creative performance. The term “creativity” is a convenient term for collecting many interesting artifacts, processes, and people into a single category, and the term “creative thinking skills” may be a useful way to connect a diverse set of unrelated cognitive processes that operate on different content and in different domains. These concepts are misleading, however, because although they connect things that may seem similar to observers, they lack any underlying cognitive psychological validity. This has implications for the ways we understand and assess creativity, and also for how we should direct our efforts to develop creative‐thinking skills in diverse domains. Creativity training needs either to target the domains in which creativity enhancement is desired or to use a wide range of activities in diverse domains if the goal is more general improvement in many domains. Creativity assessment needs to focus on domain‐by‐domain assessment and to review findings based on allegedly domain‐general tests of creativity that may have misled researchers to unsupportable interpretations. Creativity theory needs to set more modest goals of domain‐by‐domain theory development and to recognize that theories that may seem domain‐general might better be understood as meta‐theoretical heuristics that do not actually describe domain‐general processes. These meta‐theories might in some cases help guide the search for domain‐based theories.     

The Effects of Type and Level of Personal Involvement on Information Search and Problem Solving1

The effects of type and level of personal involvement on information search and problem solving were investigated in a laboratory setting. Participants were given a problem eliciting high value involvement, high outcome involvement, or low involvement. Before providing a solution to the problem, participants had the opportunity to search for additional information about the problem using a computer. The amount of information searched and the time spent searching were measured, as was the quality of problem solutions. Results showed that increases in information search resulted in more original and more appropriate problem solutions. Results also revealed that solution originality and appropriateness were highest among participants who were involved because the problem's outcome was relevant to them and lowest among participants who were involved because the problem affected their values and morals. The results of this study indicate that high involvement may not be universally beneficial to the generation of high-quality problem solutions.     

Predicting Creative Problem-Solving in Math From a Dynamic System Model of Creative Problem Solving Ability

Six attributes of creative problem-solving ability were investigated as predictors of creative problem solving ability in math. A total of 409 Taiwanese fifth and sixth graders were administered the recently developed Creative Problem Solving Attributes Inventory and other corresponding established instruments that measure similar attributes. The Creative Problem Solving Attributes Inventory yielded valid and reliable data on creative problem solving attributes. Results also demonstrated that divergent thinking and domain specific knowledge and skills directly predicted math problem-solving ability, whereas divergent thinking, convergent thinking, motivation, general knowledge and skills, and environment indirectly predicted math problem solving ability. Implications for nurturing creative problem solving ability and limitations of the study are discussed.     

A procedure for the incremental construction of a knowledge space

Knowledge spaces are structures for the efficient assessment of the knowledge state of a student in a given field of knowledge. Existing procedures for constructing a knowledge space by querying an expert assume that the domain of questions is known in advance, and that it is fixed during the whole query process. The outcome of these procedures is a knowledge space on the questions in that domain. If the original domain is extended with new questions, a new knowledge space on the extended domain can be produced by expert query. Since in this case a knowledge space for the original domain already exists, the available information can be used to extend the existing space in an efficient way, thus avoiding to apply expert query from scratch. Existing procedures do not provide an explicit way to use such information. Although these procedures can be adapted to this purpose, in this paper a new query algorithm that is specifically tailored for the problem above mentioned is presented.     

Cues to solution, restructuring patterns, and reports of insight in creative problem solving

While the subjective experience of insight during problem solving is a common occurrence, an understanding of the processes leading to solution remains relatively uncertain. The goal of this study was to investigate the restructuring patterns underlying solution of a creative problem, and how providing cues to solution may alter the process. Results show that both providing cues to solution and analyzing problem solving performance on an aggregate level may result in restructuring patterns that appear incremental. Analysis of performance on an individual level provides evidence for insight-like solution patterns. However, no evidence is found for a relationship between an individual's restructuring pattern and their subjective experience of insight during problem solving.     

Priming,analogy, and awareness in complex reasoning

The mechanisms by which a concept used in solving one complex task can influence performance on another complex task were investigated. We tested the hypothesis that even when subjects do not spontaneously make an analogy between two domains, knowledge of one domain can still spontaneously influence reasoning about the other domain via the mechanism of priming. Four groups of subjects (two experimental and two control) were given a simulated biochemistry problem on Day 1 and a simulated molecular genetics problem on Day 2. For the two experimental groups, the solution to the biochemistry problem involved inhibition. For the two control groups, the solution did not involve inhibition. On Day 2, all subjects received the same version of the molecular genetics problem in which the solution involved the concept of inhibition. Subjects in the experimental conditions were more likely to attain the correct answer, to propose inhibition, and to propose inhibition early in the problemsolving session than were subjects in the control conditions. However, subjects in the experimental conditions made no reference to the biochemistry problem either in their verbal protocols or in a posttask questionnaire. The results are interpreted as demonstrating that an implicit process—priming— can make old knowledge available for current problem solving.     

On the nature of insight solutions: Evidence from skill differences in anagram solution

According to the Gestalt psychologists, problem solutions that pop into mind suddenly with no awareness of the process by which they were generated are objectively as well as subjectively sudden. Thus, such pop-out solutions are qualitatively different from search solutions, which are constructed incrementally. The authors tested this claim in the domain of anagram solution. Experiment 1 documented that anagrams yield pop-out solutions, especially among highly skilled solvers. The results of Experiment 2 indicated that both pop-out and search solutions depended on the gradual accumulation of partial information, contrary to the Gestalt view of problem solving. Nevertheless, some aspects of the Experiment 2 results, as well as new analyses of an anagram study reported elsewhere, suggest that there may in fact be a qualitative difference between pop-out and search solutions. In particular, pop-out solutions may result from parallel processing of the constraints on the rearranged order of the anagram letters, whereas search solutions may result from a serial hypothesis-testing procedure.     

Effects of working memory capacity on mental set due to domain knowledge

The present set of studies examines how working memory capacity (WMC) relates to performance on a Remote Associates Task (RAT), originally designed by Mednick as a quantifiable creative problem solving assessment. The source of fixation was manipulated across two sets of RAT items. One set was neutral with no specific fixation embedded in them, while the second set was baseball-misleading, designed so that prior knowledge of baseball would lead to an incorrect solution attempt. WMC scores were positively related to performance on RAT items in all conditions, except one. High baseball knowledge participants' WMC scores did not relate to performance on the baseball-misleading RAT. While in general WMC may lead to better RAT performance, these results suggest that when there is a candidate solution strongly activated by prior knowledge, WMC may actually lead to too much focus on the incorrect solution and exacerbate mental sets.     

A Method for Comparing Knowledge Structures Concerning Their Adequacy

A knowledge domain is represented in knowledge space theory by a finite set Q of problems. The knowledge of a subject in the domain is described by the subset of problems from Q that the subject is able to solve. The set of all possible knowledge states of subjects is called the knowledge structure on Q. A crucial problem is how a hypothetical knowledge structure, obtained for example by querying an expert, can be evaluated empirically. We describe a method for comparing two knowledge structures concerning their ability to describe a set of empirically observed response patterns. Our comparison method is tested in two simulation studies. The results of these studies show that the method is highly accurate in its evaluation of knowledge structures. Copyright 2001 Academic Press.     

The dynamics of search,impasse, and representational change provide a coherent explanation of difficulty in the nine-dot problem

The nine-dot problem is often used to demonstrate and explain mental impasse, creativity, and out of the box thinking. The present study investigated the interplay of a restricted initial search space, the likelihood of invoking a representational change, and the subsequent constraining of an unrestricted search space. In three experimental conditions, participants worked on different versions of the nine-dot problem that hinted at removing particular sources of difficulty from the standard problem. The hints were incremental such that the first suggested a possible route for a solution attempt; the second additionally indicated the dot at which lines meet on the solution path; and the final condition also provided non-dot locations that appear in the solution path. The results showed that in the experimental conditions, representational change is encountered more quickly and problems are solved more often than for the control group. We propose a cognitive model that focuses on general problem-solving heuristics and representational change to explain problem difficulty.     

Applying Multiple Knowledge Structures in Creative Thought: Effects on Idea Generation and Problem-Solving

Prior studies have indicated that multiple knowledge structures, schema, associations, and cases, are involved in creative thought. Few studies, however, have examined how these different knowledge structures operate together in idea generation and creative problem-solving. Accordingly, in the present study 247 undergraduates were asked to generate ideas relevant to a social innovation problem and then provide a potential solution to the problem. A training manipulation was used to encourage application of schematic, associational, or case-based knowledge either alone or in combination. It was found that prompting use of a single knowledge structure, specifically schema or associational knowledge, resulted in the production of more high quality ideas. However, prompting use of multiple knowledge structures, specifically combining either schema or associations with cases, resulted in the production of higher quality and more original problem-solutions. The implications of these findings for understanding the role of different knowledge structures in creative thought are discussed.     

How Experts Solve a Novel Problem in Experimental Design

Research on expert-novice differences has mainly focused on how experts solve familiar problems. We know far less about the skills and knowledge used by experts when they are confronted with novel problems within their area of expertise. This article discusses a study in which verbal protocols were taken from subjects of various expertise designing an experiment in an area with which they were unfamiliar. The results showed that even when domain knowledge is lacking, experts solve a novel problem within their area of expertise by dividing the problem into a number of subproblems that are solved in a specified order. The lack of domain knowledge is compensated for by using abstract knowledge structures and domain-specific heuristic strategies. However, the quality of their solutions is considerably lower than the quality attained by experts who were familiar with the type of problem to be solved. The results suggest that when experts are confronted with novel problems as compared with familiar problems, their form of reasoning remains intact, but the content of their reasoning suffers due to lack of domain knowledge.     

The Impact of Goal Specificity on Strategy Use and the Acquisition of Problem Structure

Theories of skill acquisition have made radically different predictions about the role of general problem-solving methods in acquiring rules that promote effective transfer to new problems. Under one view, methods that focus on reaching specific goals, such as means-ends analysis, are assumed to provide the basis for efficient knowledge compilation (Anderson, 1987), whereas under an alternative view such methods are believed to disrupt rule induction (Sweller, 1988). We suggest that the role of general methods in learning varies with both the specificity of the problem solver's goal and the systematicity of the strategies used for testing hypotheses about rules. In the absence of a specific goal people are more likely to use a rule-induction learning strategy, whereas provision of a specific goal fosters use of difference reduction, which tends to be a non-rule-induction strategy. We performed two experiments to investigate the impact of goal specificity and systematicity of rule-induction strategies in learning and transfer within a complex dynamic system. The results of Experiment 1 indicated that during free exploration of a problem space, greater learning occurred if participants adopted more systematic strategies for rule induction, and that participants come to favor such strategies. Experiment 2 revealed that participants who were provided with a specific goal performed well on the initial problem but were impaired on a transfer test using a similar problem with a different goal. Instruction on a systematic rule-induction strategy facilitated solution for both the initial and transfer problems, but participants' use of this strategy declined if they had a specific goal. Our results support Sweller's (1988) proposal that general problemsolving methods applied to a specific goal foster acquisition of knowledge about an isolated solution path but do not provide an effective way of learning the overall structure of a problem space. We interpret these results in terms of dualspace theories of search through problem space.     

Efficient search under constraints and not working memory resources supports creative action emergence in a convergent motor task

Creative (original and functional) solutions to problems can be facilitated by guiding search behavior. According to cognitive models, when solving convergent tasks (tasks with few solutions), high available working memory (WM) resources and capacity can guide creative solution emergence via repeated (persistent) search within a solution subcategory. However, no clear associations have been found of WM capacity on creative outcomes when tasks require the individual to enact solutions in divergent doing tasks. This study further tested constraints on WM resources on search behavior and creative outcomes in a convergent doing task. Novices to combat sports were asked to repeatedly strike a target with the intent to achieve an individualized target force. In order to manipulate available WM resources, every ten strikes, participants were asked to recall and then retain a sequence of 5 digits (high load group: n = 21) or 2 digits (low load group: n = 21). The task constraints favored the functionality (or appropriateness) of a qualitatively distinct, non-obvious solution. Functionality was assessed using the force registered for each strike. Originality was assessed in terms of how infrequently actions occurred. Finally, search behavior was quantified based on changes in which limb was used and changes in which part of the limb was used from one strike to the next. There were no significant effects of WM load on creativity outcomes, solution search, or task success. Rather, task success was related to efficient search and creativity. Future research should focus on constraints (other than WM resources) that promote efficient search.     

The Effects of Domain Knowledge and Instructional Manipulation on Creative Idea Generation

The experiment was designed to explore the effects of domain knowledge, instructional manipulation, and the interaction between them on creative idea generation. Three groups of participants who respectively possessed the domain knowledge of biology, sports, or neither were asked to finish two tasks: imagining an extraterrestrial animal and creating a new sport. Participants in each group were randomly assigned to one of three instructions, in order to encourage them to perform the tasks using a specific instance strategy (relying on specific instances), an abstract strategy (relying on abstract principles), or their habitual ways. Based on an analysis of the participants' verbal reports and their creations, the results suggested that domain knowledge enhanced the tendency to use the abstract strategy, and improved the originality and practicality of the generated ideas. Instructions also influenced the strategy participants used in creative idea generation. The instruction to use abstract principles brought forth the most original creations. Moreover, there was an interaction between domain knowledge and instructions. Encouraging participants to use the specific instance strategy blocked the knowledgeable people from developing novel ideas. Other factors, such as age, grade and gender, were found to be unrelated to either the originality or the practicality of the creations. The implications of the results were discussed in detail.     

In Search of the Creative Personality

Conceptual maps of occupational interests and environments, traits, and psychosocial motives were used in a search for general features of creative personality. Creative individuals seem to be concentrated in artistic and investigative occupations. In the samples surveyed, individuals in different arts and investigative fields differed considerably in personality traits, and the more creative did not differ from the less creative in the same ways across samples. The power motive generally may be important, but research to show this is lacking. Nevertheless, creative individuals were found to share strong symbolic interests, independence, and high aspirations. Viewing them as self-oriented rather than other-oriented is consistent with the above findings and with their love of work and difficulty in relationships; it points to transcendence of the self as a common moral problem. Implications for research on the creative personality include the importance of attention to the development of symbolic interests and to our projections of power on the creative individual.     

A learning algorithm for boltzmann machines

The computational power of massively parallel networks of simple processing elements resides in the communication bandwidth provided by the hardware connections between elements. These connections can allow a significant fraction of the knowledge of the system to be applied to an instance of a problem in a very short time. One kind of computation for which massively parallel networks appear to be well suited is large constraint satisfaction searches, but to use the connections efficiently two conditions must be met: First, a search technique that is suitable for parallel networks must be found. Second, there must be some way of choosing internal representations which allow the preexisting hardware connections to be used efficiently for encoding the constraints in the domain being searched. We describe a general parallel search method, based on statistical mechanics, and we show how it leads to a general learning rule for modifying the connection strengths so as to incorporate knowledge about a task domain in an efficient way. We describe some simple examples in which the learning algorithm creates internal representations that are demonstrably the most efficient way of using the preexisting connectivity structure.