The popular iconography of insight casts a thinker as he or she uncoils from a Rodin pose and a bulb that lights a world hitherto hidden. By and large, these features of folk mythology capture and guide how psychologists conduct research on insight: Mental processes — some of which may be unconscious — transform an inceptive abstract representation of the world until it prescribes a fruitful solution to a problem. Yet thinking and problem solving outside the laboratory involve interacting with (...) external resources, and through this interactivity with a material world, solutions are distilled. Still, laboratory work on problem solving pays scant and largely indifferent attention to interactivity: Sometimes problems are presented as riddles or static graphical or diagrammatic images, or sometimes they are accompanied by artefacts that can be manipulated. The research methodology — and indifference to the central role of interactivity in thinking — follows from a deep-seated commitment to mentalism and methodological individualism. However, a thinker is an embodied creature embedded in a physical world: The materiality of external resources and artefacts through which problems manifest themselves inevitably determines a set of action affordances. From a systemic perspective, thinking is traceable along a contingent spatio-temporal itinerary wrought by interactivity and evidenced by changes in the world. (shrink)

Participants in cognitive psychology experiments on reasoning and problem solving are commonly sequestered: Efforts are made to impoverish the physical context in which the problem is presented, decoupling people from the richer and modifiable environment that naturally instantiates it outside the lab. Sense-making activities are constrained, but this conforms to the strong internalist and individualist commitments implicit to these research efforts: Cognition reflects internal computations and the scientists’ toils must focus on the individual and what she is thinking, decoupled from (...) the world. We contrast this position with one that identifies cognition as the product of a cognitive system that is configured and enacted by, minimally, an agent and the world in which she is embedded. We review work on the psychology of hypothesis testing and problem solving and argue that refocusing research efforts on the dynamic agent-environment couplings that generate cognitive products — such as a problem representation, a hypothesis or a problem solution — offers a much richer set of methodological opportunities to unveil how people actually think outside the cognitive psychologist’s laboratory. We conclude by exploring the ontological implications of a systemic perspective on cognition. (shrink)

In attempting to solve a wide variety of tasks, people naturally seek to modify their external environment such that the physical space in which they work is more amenable or ‘congenial’ to achieving a desired outcome. Attempts to determine the effectiveness of certain artifacts or spatial reorganizations in aiding reasoners solve problems must be relativised to the difficulty of the task and the cognitive abilities of the reasoners. These factors were examined using a simple word production task with letter tiles. (...) Two sets of tiles that differed in terms of word production difficulty were selected. Participants were asked to produce as many words as they could within a finite time period for each letter set. In one group, participants were encouraged to rearrange or touch the tiles when producing words, and in the other group, participants could not interact with or point to the tiles. Participants were further split in a low and high verbal fluency group as a function of their score on the Thurstone word fluency test taken at the end of the experiment. In the high fluency group, letter rearrangement did not improve the participants’ ability to generate words. In contrast, in the low verbal fluency group, letter rearrangement significantly enhanced the ability to produce new words from both the hard and easy letter set. For these participants, the task was more taxing and the opportunity to restructure the letter set substantially elevated their performance. The advantages of a distributed cognition analysis of this and other reasoning tasks are discussed. (shrink)

Participants in cognitive psychology experiments on reasoning and problem solving are commonly sequestered: Efforts are made to impoverish the physical context in which the problem is presented, decoupling people from the richer and modifiable environment that naturally instantiates it outside the lab. Sense-making activities are constrained, but this conforms to the strong internalist and individualist commitments implicit to these research efforts: Cognition reflects internal computations and the scientists’ toils must focus on the individual and what she is thinking, decoupled from (...) the world. We contrast this position with one that identifies cognition as the product of a cognitive system that is configured and enacted by, minimally, an agent and the world in which she is embedded. We review work on the psychology of hypothesis testing and problem solving and argue that refocusing research efforts on the dynamic agent-environment couplings that generate cognitive products — such as a problem representation, a hypothesis or a problem solution — offers a much richer set of methodological opportunities to unveil how people actually think outside the cognitive psychologist’s laboratory. We conclude by exploring the ontological implications of a systemic perspective on cognition. (shrink)

Problem solving in a materially rich environment requires interacting with chance. Sixty-four participants were invited to solve 5-letter anagrams presented as movable tiles in conditions that either allowed the participants to move the tiles as they wished or only allowed random shuffling (without rearranging the tiles post shuffling) thus contrasting pure luck with an interactive model. We hypothesised that shuffling would break unhelpful mental sets and introduce beneficial unplanned problem-solving trajectories. However, participants performed significantly worse when shuffling, which suggests luck (...) plays less of a role than has been previously suggested. Granular analysis of seven critical cases revealed arbitrary path dependency across both conditions and moments of missed luck. It also questions current models of non-agentic luck and the ability to separate agent and luck. This research has implications for fostering better problem solving in an uncertain and fluid world. (shrink)

Interactivity has been linked to better performance in problem solving, due in part to a more efficient allocation of attentional resources, a better distribution of cognitive load, but perhaps more important by enabling the reasoner to shape and reshape the physical problem presentation to promote the development of the problem solution. Interactivity in solving quotidian arithmetic problems involves gestures, pointing, and the recruitment of artefacts to facilitate computation and augment efficiency. In the experiment reported here, different types of interactivity were (...) examined with a series of mental arithmetic problems. Using a repeated-measures design, participants solved series of five 11-digit sums in four conditions that varied in the type of interactivity: no interactivity, pointing, pen and paper, and tokens. Performance in the four conditions was measured in terms of accuracy, calculation error, and efficiency. These quantitative analyses were supplemented by a detailed qualitative examination of a participant’s actions in the different conditions. The integration of artefacts, such as tokens or a pen, offered reasoners the opportunity to reconfigure the physical presentation of the problem, enacting different arithmetic strategies: the affordance landscape shifts as the problem trajectory is enacted through interactivity, and this generally produced better “mental” arithmetic performance. Participants also felt more positive about and better engaged with the task when they could reconfigure the problem presentation through interactivity. These findings underscore the importance of engineering task environments in the laboratory that offer a window on how problem solving unfolds through a coalition of mental and physical resources. (shrink)

The purpose of this article is to present a new distributed interactive career decision-making framework in which person and context together determine the development of a sustainable career. We build upon recent theories from two disciplines: decision theory and career theory. Our new conceptual framework incorporates distributed stakeholders into the career decision-making process and suggests that individuals make decisions through a system of distributed agency, in which they interact with their context to make each career decision, at varying levels of (...) participation, from proactive to reactive. We focus on two key career decision-making drivers originating from the person, and two key drivers from the career context. This manuscript challenges the individual-driven approach to career development, and instead proposes that a process of distributed career decision-making takes place between each person and the various stakeholders, both individual and institutional, that also drive their career. Career seekers and counselors can use this framework to supplement an individual-focused approach and incorporate the role of distributed decision-makers in sustaining an individual’s career. Empirical research is needed to explore and test the applicability of the framework to career decisions in practice. (shrink)

Insight problem solving was investigated with the matchstick algebra problems developed by Knoblich, Ohlsson, Haider, and Rhenius (1999). These problems are false equations expressed with Roman numerals that can be made true bymoving one matchstick. In a first group participants examined a static two-dimensional representation of the false algebraic expression and told the experimenter which matchstick should be moved. In a second group, participants interacted with a three-dimensional representation of the false equation. Success rates in the static group for different (...) problem types replicated the pattern of data reported in Knoblich et al. (1999). However, participants in the interactive group were significantly more likely to achieve insight. Problem-solving success in the static group was best predicted by performance on a test of numeracy, whereas in the interactive group it was best predicted by performance on a test of visuo-spatial reasoning. Implications for process models of problem solving are discussed. (shrink)

Introduction to the special issue in Pragmatics & Cognition focused on creativity, cognition, and material culture. With contributions from Maurice Bloch, Chris Gosden, Tim Ingold, John Kirsh, Carl Knappett & Sander van der Leeuw, Lambros Malafouris, Frédéric Vallée-Tourangeau, Kevin Warwick, and Tom Wynn and Frederick L. Coolidge.