The science of judgment and decision making involves three interrelated forms of research: analysis of the decisions people face, description of their natural responses, and interventions meant to help them do better. After briefly introducing the field's intellectual foundations, we review recent basic research into the three core elements of decision making: judgment, or how people predict the outcomes that will follow possible choices; preference, or how people weigh those outcomes; and choice, or how people combine judgments and preferences to reach a decision. We then review research into two potential sources of behavioral heterogeneity: individual differences in decision-making competence and developmental changes across the life span. Next, we illustrate applications intended to improve individual and organizational decision making in health, public policy, intelligence analysis, and risk management. We emphasize the potential value of coupling analytical and behavioral research and having basic and applied research inform one another.
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http://dx.doi.org/10.1146/annurev-psych-010419-050747 | DOI Listing |
Plast Reconstr Surg
December 2024
Department of Plastic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, South Korea.
Background: Despite the recent steep rise in the use of prepectoral direct-to-implant (DTI) breast reconstruction, concerns remain regarding the potentially risk of complications, resulting in the selective application of the technique; however, the selection process was empirically based on the operator's decision. Using patient and operation-related factors, this study aimed to develop a nomogram for predicting postoperative complications following prepectoral DTI reconstruction.
Methods: Between August 2019 and March 2023, immediate prepectoral DTI was performed for all patients deemed suitable for one-stage implant-based reconstruction.
Background: The Wound Care Collaborative Community (WCCC) assesses shortcomings and unmet needs in wound care by partnering with key stakeholders, such as the National Institutes of Health, the US Food and Drug Administration (FDA), industry leaders, and expert health care providers and researchers, to advance the study of wound healing. Through this work, the WCCC has identified a few key barriers to innovation in wound care. The WCCC aims to accelerate the development of science-based, patient-centered solutions and address public policy challenges related to ensuring patients receive early access to innovative treatment options.
View Article and Find Full Text PDFJCO Glob Oncol
January 2025
Department of Geriatric Medicine, All India Institute of Medical Sciences, Rishikesh, India.
Purpose: The demographic transition toward aging heralds an increase in the number of geriatric patients with cancer in India. Comprehensive geriatric assessment (CGA) is a sine qua non for treatment planning and shared decision making in these patients. We aimed to study the prevalence of malnutrition and the associated risk factors in geriatric patients with solid organ cancer.
View Article and Find Full Text PDFNeural Comput
January 2025
Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200437, China
Spiking neural networks (SNNs) have attracted significant interest in the development of brain-inspired computing systems due to their energy efficiency and similarities to biological information processing. In contrast to continuous-valued artificial neural networks, which produce results in a single step, SNNs require multiple steps during inference to achieve a desired accuracy level, resulting in a burden in real-time response and energy efficiency. Inspired by the tradeoff between speed and accuracy in human and animal decision-making processes, which exhibit correlations among reaction times, task complexity, and decision confidence, an inquiry emerges regarding how an SNN model can benefit by implementing these attributes.
View Article and Find Full Text PDFNeural Comput
January 2025
Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, BT48 7JL Derry-Londonderry, Northern Ireland, U.K.
Decision formation in perceptual decision making involves sensory evidence accumulation instantiated by the temporal integration of an internal decision variable toward some decision criterion or threshold, as described by sequential sampling theoretical models. The decision variable can be represented in the form of experimentally observable neural activities. Hence, elucidating the appropriate theoretical model becomes crucial to understanding the mechanisms underlying perceptual decision formation.
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