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Our Lab's Research:
Ways Strategy Changes Can Improve
Problem Solving and Memory
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Our
lab's
research is directed at understanding how people acquire new mental
representations and change strategies as they solve problems or
study. We conduct laboratory studies to discover ways that we can
improve peoples' memory and problem-solving abilities. In problem
solving, we have been studying how planning enhances learning and how
people can learn to be more careful. In memory, we have studied
how ordinary people can improve their memory by spacing practice
differently or using new strategies for studying. Our studies of
the expert memorist Rajan show just how far memory can be improved with
practice. Graduate
students in
the lab receive training in both memory and problem solving, but
ultimately concentrate their efforts on the area they prefer.
Our lab
seeks to train future basic scientists for careers in research and
teaching, but we also have some applied projects. Our basic
research efforts mainly explore the strategies people use and how those
strategies interact with executive processes (like "working memory").
Executive processes can place limits on the strategies people employ or
affect the choice process. Of course, our ultimate
interest isn't in studying tasks that are found only in laboratories --
we're interested in what those tasks tell us more generally about
problem solving and memory. Our applied work takes some of the
ideas we developed in the lab and applies them to everyday problems
such as improving decision making of drivers and traffic engineers, reducing
impulsivity, and
studying ways that medical doctors can improve the memories of older
adult patients who visit their offices. Memory Research
To get an idea of the power of study strategies to improve learning, consider our research on a memory expert named Rajan. Rajan is famous for having learned tens of thousands of digits of pi (3.141519...) and he's capable of learning lists of 50 digits with virtually perfect accuracy in about a minute of study (Ericsson, Delaney, Weaver & Mahadevan, 2004). We concluded that exceptional skills derived from years of practice were responsible for Rajan's abilities, and not innate talents. Not only memory experts show exceptional memory: so do doctors, musicians, and others (Ericsson & Delaney, 1999). Even in simple list learning experiments, people can change strategies after self-evaluation. People often switch from rehearsal-based study strategies to more elaborative strategies. We have shown that these strategy changes can be triggered by instructions to "forget" earlier-learned material or by asking people to evaluate their own performance (Sahakyan, Delaney & Kelley, 2004; Sahakyan & Delaney, 2003), and that similar strategy changes can affect the basis (or even the existence) of spacing effects (Delaney & Knowles, 2005; Delaney & Verkoeijen, under review). Spacing effects refer to the well-known finding that the same amount of study time is more effectively used by viewing each item on a list twice than by viewing each item only once (but for longer). We are also interested more broadly in how executive functioning limits the benefits of study strategies and in the nature of executive functioning. One of our perspectives is that executive functions are heavily skill dependent and that strategies are central to effective executive functioning (Ericsson & Delaney, 1998, 1999). However, executive functioning also seems to be linked to other memory abilities relating to how interference is managed and to how context is processed (Delaney & Sahakyan, in press; Nghiem & Delaney, in preparation). We do not view these two views as contradictory but rather as complimentary.Problem Solving & Decision Making Research Our other work is concerned with problem solving and decision processes. Executive processes and memory strategies are, of course, implicated in the ways people approach problem solving and decision making, but there are other factors that may be even more important. One kind of strategy we have studied is planning, including how planning strategies change over time, why people choose particular planning strategies, and how planning can facilitate learning (Delaney, Ericsson & Knowles, 2004). More recently, we have been exploring ways to teach people to avoid illegal moves (moves that break rules). Illegal moves are important because they limit planning ahead and may lead to important consequences when errors are costly -- such as in air traffic control tasks. We have developed a framework for understanding how a particular manipulation that reduces illegal moves does its work (Knowles & Delaney, 2005), and are applying this framework to understanding impulsive behavior. Finally, a new, emerging line of inquiry is exploring how people make decisions and plan ahead at intersections. Many traffic accidents occur at intersections, and understanding cognitive processes at such intersections may ultimately reduce loss of life. We are working with colleagues from other departments including engineering to obtain funding to pursue these issues.Methods for Investigating Memory and Thinking Our lab has several general methods for attacking scientific problems. All of these approaches are aimed at discovering the strategies that people use on various tasks and on how those strategies impact various psychological effects. Gaining control over peoples' strategies often leads to insights into the basic theoretical mechanisms that underlie various phenomena. The same three basic laboratory techniques have proven successful for our lab in a variety of different domains: tracking strategies, constraining strategies, and controlling strategies. Tracking strategies involves collecting concurrent or retrospective verbal reports (a technique made famous by my graduate advisor, K. Anders Ericsson). Naturally, it is important to know what techniques elicit valid verbal reports, and what produces mere introspective guesswork! Constraining strategies involves taking steps to interfere with the mechanisms assumed to underlie exceptional performance in a task. Tasks can often be designed to reduce the level of performance only if people are using a particular strategy. Finally, controlling strategies involves instructing people to approach the task in a certain fashion. In this way, strategy variability is reduced or eliminated. In order to integrate the results of this work with existing phenomena, we are currently trying to produce computer-based mathematical models of various phenomena using the ACT-R cognitive architecture, the Atwood/Polson process model for problem solving, and the modified SAM model designed to account for interference effects in memory. |