Neil Charness

Expert Performance Its Structure and Acquisition

Counter to the common belief that expert performance reflects innate abilities and capacities, recent research in different domains of expertise has shown that expert performance is predominantly mediated by acquired complex skills and physiological adaptations. For elite performers, supervised practice starts at very young ages and is maintained at high daily levels for more than a decade. The effects of extended deliberate practice are more far-reaching than is commonly believed. Performers can acquire skills that circumvent basic limits on working memory capacity and sequential processing. Deliberate practice can also lead to anatomical changes resulting from adaptations to intense physical activity. The study of expert performance has important implications for our understanding of the structure and limits of human adaptation and optimal learning.

Designing for older adults : principles and creative human factors approaches

Fundamentals Toward Better Design for Older Adults Characteristics of Older Adult Users Guiding the Design Process Design Guidelines Improving Perception of Information Design of Input and Output Devices Interface Design. Developing Training and Instructional Programs Exemplar Applications Making the Work Environment Age Friendly Maximizing the Usefulness and Usability of Health Care Technologies Transportation Designing Accommodations for Aging-in-Place Tutorials Involving Older Adults in Research and Usability Studies Conducting Focus Groups with Older Adults Statistical Considerations Task Analysis and Error Prediction GOMS Modeling for Older Adults Multimedia Design Conclusion Synthesis and Final Comments References Indexes

Older adults talk technology: Technology usage and attitudes

Older adults (n = 113) participated in focus groups discussing their use of and attitudes about technology in the context of their home, work, and healthcare. Participants reported using a wide variety of technology items, particularly in their homes. Positive attitudes (i.e., likes) outnumbered negative attitudes (i.e., dislikes), suggesting that older adults perceive the benefits of technology use to outweigh the costs of such use. Positive attitudes were most frequently related to how the technology supported activities, enhanced convenience, and contained useful features. Negative attitudes were most frequently associated with technology creating inconveniences, unhelpful features, as well as security and reliability concerns. Given that older adults reported more positive than negative attitudes about the technologies they use, these results contradict stereotypes that older adults are afraid or unwilling to use technology. These findings also highlight the importance of perceived benefits of use and ease of use for models of technology acceptance. Emphasizing the benefits of technology in education and training programs may increase future technology adoption.

Visual Span in Expert Chess Players: Evidence From Eye Movements:

The reported research extends classic findings that after briefly viewing structured, but not random, chess positions, chess masters reproduce these positions much more accurately than less-skilled players. Using a combination of the gaze-contingent window paradigm and the change blindness flicker paradigm, we documented dramatically larger visual spans for experts while processing structured, but not random, chess positions. In addition, in a check-detection task, a minimized 3 × 3 chessboard containing a King and potentially checking pieces was displayed. In this task, experts made fewer fixations per trial than less-skilled players, and had a greater proportion of fixations between individual pieces, rather than on pieces. Our results provide strong evidence for a perceptual encoding advantage for experts attributable to chess experience, rather than to a general perceptual or memory superiority.

Aging and Human Performance

Objectives: I identify major theoretical and practical contributions to aging and human performance as reflected primarily in the pages of Human Factors. Background: Populations worldwide are aging. True experimental work on aging is not possible because age levels cannot be manipulated. Sophisticated theoretical frameworks and modeling techniques are required to reach valid inferences about age effects and age changes. Method: Citation analysis was used to identify articles in Human Factors dealing with age or aging and to rank them for citation impact. Results: Special issues on aging were followed by increased publication rates for articles on age or aging, particularly in the 1990s. Most-cited articles deal primarily with age and driving. Conclusions: Applied contributions rely on improved measurement of performance and on methodological advances, including simulation and modeling. Design changes that provide environmental support for declining cognitive, perceptual, and psychomotor abilities can serve as a powerful intervention for maintaining and improving older adult performance. Training is also a robust way to improve performance at both the basic ability level and the level of task performance. Human factors specialists can improve quality of life for an aging population. Applications: Guidelines for older users are now being developed by standards bodies and are implemented in domains such as Web design. Much of the focus of human factors research has been on improving efficiency in the performance of aging adults in the workforce, but reducing errors and increasing comfort and satisfaction in health-related activities should receive greater attention.

Aging and Information Technology Use Potential and Barriers

Why are older adults reluctant to adopt new technology, such as the Internet, given its potential to improve the quality of their lives? We review evidence indicating that attitudes and abilities are among the most powerful predictors of technology use. We conclude that normative age-related changes in ability must be taken into account when designing products and training programs for aging adults, and we discuss new tools to support designers. The most promising emerging technologies likely lie in training cognitive abilities and augmenting or substituting for impaired abilities. We discuss reasons to expect that the lag in technology adoption between younger and older adults may lessen but will not disappear in future generations.

Issues in training older adults to use computers

Abstract Given the aging of the workforce and the general population, it is important to determine how best to train older adults to use computers. Generally, research has shown that training takes significantly more time for older adults compared with younger learners, and that older adults commit more errors in post-training evaluations. This paper reviews research demonstrating age differences in learning to use a computer. We also explore the effects of attitudes, anxiety, and cognitive abilities on computer use, as well as research on training novices to use computers. Finally, we discuss designing the human-computer interface for the advantage of older users.

The perceptual aspect of skilled performance in chess: Evidence from eye movements

Expert and intermediate chess players attempted to choose the best move in five chess positions while their eye movements were monitored. Experts were faster and more accurate than intermediates in choosing the best move. Experts made fewer fixations per trial and greater amplitude saccades than did intermediates, but there was no difference in fixation duration across skill groups. Examining the spatial distribution of the first five fixations for each position by skill group revealed that experts produced more fixations on empty squares than did intermediates. When fixating pieces, experts produced a greater proportion of fixations on relevant pieces than did intermediates. It is argued that expert chess players perceptually encode chess configurations, rather than individual pieces, and, consequently, parafoveal or peripheral processing guides their eye movements, producing a pattern of saccadic selectivity by piece saliency.

Search in chess: Age and skill differences.

A method and apparatus for applying a thin, protective coating to individual granules by generating a liquid screen of the coating material at one end of a vertical shaft, passing the granules down through the screen and onto baffles disposed in the lower portion of the shaft. The liquid will pass down the walls of the shaft and onto the baffles and become entrained with the granules impinging thereon. A rotary drum is provided adjacent the discharge end of the shaft to intimately mix the materials passing out of the shaft.

Do “Brain-Training” Programs Work?

In 2014, two groups of scientists published open letters on the efficacy of brain-training interventions, or “brain games,” for improving cognition. The first letter, a consensus statement from an international group of more than 70 scientists, claimed that brain games do not provide a scientifically grounded way to improve cognitive functioning or to stave off cognitive decline. Several months later, an international group of 133 scientists and practitioners countered that the literature is replete with demonstrations of the benefits of brain training for a wide variety of cognitive and everyday activities. How could two teams of scientists examine the same literature and come to conflicting “consensus” views about the effectiveness of brain training? In part, the disagreement might result from different standards used when evaluating the evidence. To date, the field has lacked a comprehensive review of the brain-training literature, one that examines both the quantity and the quality of the evidence according to a well-defined set of best practices. This article provides such a review, focusing exclusively on the use of cognitive tasks or games as a means to enhance performance on other tasks. We specify and justify a set of best practices for such brain-training interventions and then use those standards to evaluate all of the published peer-reviewed intervention studies cited on the websites of leading brain-training companies listed on Cognitive Training Data (www.cognitivetrainingdata.org), the site hosting the open letter from brain-training proponents. These citations presumably represent the evidence that best supports the claims of effectiveness. Based on this examination, we find extensive evidence that brain-training interventions improve performance on the trained tasks, less evidence that such interventions improve performance on closely related tasks, and little evidence that training enhances performance on distantly related tasks or that training improves everyday cognitive performance. We also find that many of the published intervention studies had major shortcomings in design or analysis that preclude definitive conclusions about the efficacy of training, and that none of the cited studies conformed to all of the best practices we identify as essential to drawing clear conclusions about the benefits of brain training for everyday activities. We conclude with detailed recommendations for scientists, funding agencies, and policymakers that, if adopted, would lead to better evidence regarding the efficacy of brain-training interventions.