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Abstract Artificial intelligence in the workplace is becoming increasingly common. These tools are sometimes used to aid users in performing their task, for example, when an artificial intelligence tool assists a radiologist in their search for abnormalities in radiographic images. The use of artificial intelligence brings a wealth of benefits, such as increasing the efficiency and efficacy of performance. However, little research has been conducted to determine how the use of artificial intelligence assistants might affect the user’s cognitive skills. In this theoretical perspective, we discuss how artificial intelligence assistants might accelerate skill decay among experts and hinder skill acquisition among learners. Further, we discuss how AI assistants might also prevent experts and learners from recognizing these deleterious effects. We then discuss the types of questions: use-inspired basic cognitive researchers, applied researchers, and computer science researchers should seek to answer. We conclude that multidisciplinary research from use-inspired basic cognitive research, domain-specific applied research, and technical research (e.g., human factors research, computer science research) is needed to (a) understand these potential consequences, (b) design artificial intelligence systems to mitigate these impacts, and (c) develop training and use protocols to prevent negative impacts on users’ cognitive skills. Only by answering these questions from multidisciplinary perspectives can we harness the benefits of artificial intelligence in the workplace while preventing negative impacts on users’ cognitive skills.
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Understanding Nature and Its Cognitive Benefits
Many people have the intuition that interacting with natural environments benefits their psychological health. But what has research actually demonstrated about the benefits of nature experience and the potential mechanisms underlying those benefits? This article describes empirical research on the cognitive benefits of interacting with natural environments and several theories that have been proposed to explain these effects. We also propose future directions that may be useful in exploring the extent of nature’s effects on cognitive performance and some potential mediating factors. Specifically, exposure to a variety of natural stimuli (vs. urban stimuli) consistently improves working memory performance. One potential mechanism for this is the perception of low-level features of natural environments, such as edge density in the visual domain. Although low-level features have been shown to carry semantic information and influence behavior, additional studies are needed to indicate whether perceiving these features in isolation is necessary or sufficient for obtaining the cognitive benefits of interacting with nature.
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- Award ID(s):
- 1952050
- PAR ID:
- 10546933
- Publisher / Repository:
- SAGE Publications
- Date Published:
- Journal Name:
- Current Directions in Psychological Science
- Volume:
- 28
- Issue:
- 5
- ISSN:
- 0963-7214
- Format(s):
- Medium: X Size: p. 496-502
- Size(s):
- p. 496-502
- Sponsoring Org:
- National Science Foundation
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