Robots' proliferation throughout society offers many opportunities and conveniences. However, our ability to effectively employ these machines relies heavily on our perceptions of their competence. In six studies (N = 2,660), participants played a competitive game with a robot to learn about its capabilities. After the learning experience, we measured explicit and implicit competence impressions to investigate how they reflected the learning experience. We observed two distinct dissociations between people's implicit and explicit competence impressions. Firstly, explicit impressions were uniquely sensitive to oddball behaviors. Implicit impressions only incorporated unexpected behaviors when they were moderately prevalent. Secondly, after forming a strong initial impression, explicit, but not implicit, impression updating demonstrated a positivity bias (i.e., an overvaluation of competence information). These findings suggest that the same learning experience with a robot is expressed differently at the implicit versus explicit level. We discuss implications from a social cognitive perspective, and how this work may inform emerging work on psychology toward robots. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Stroke
January 2025
Center for Brain Recovery, Boston University, MA (M.J.M., E.C., M.S., M.R.-M., S.K.).
Background: Predicting treated language improvement (TLI) and transfer to the untreated language (cross-language generalization, CLG) after speech-language therapy in bilingual individuals with poststroke aphasia is crucial for personalized treatment planning. This study evaluated machine learning models to predict TLI and CLG and identified the key predictive features (eg, patient severity, demographics, and treatment variables) aligning with clinical evidence.
Methods: Forty-eight Spanish-English bilingual individuals with poststroke aphasia received 20 sessions of semantic feature-based naming treatment in either their first or second language.
Imaging Sci Dent
December 2024
OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven, Leuven, Belgium.
Front Med (Lausanne)
December 2024
Department of Dermatology, Oregon Health & Science University, Portland, OR, United States.
Introduction: Primary care providers or clinicians (PCPs) have the potential to assist dermatologists in screening patients at risk for skin cancer, but require training to appropriately identify higher-risk patients, perform skin checks, recognize and biopsy concerning lesions, interpret pathology results, document the exam, and bill for the service. Very few validated dermatology training programs exist for PCPs and those that are available focus primarily on one emphasis area, which results in variable efficacy and single-topic limited scope.
Methods: We have created a free, online, continuing education program (Melanoma Toolkit for Early Detection, MTED) that allows learners to choose from a variety of multimedia tools (image recognition, videos, written material, in-person seminars, self-tests, etc.
Disaster Med Public Health Prep
January 2025
National Center for Disaster Preparedness, Columbia Climate School, Columbia University.
Racial disparities and climatological disasters are complex topics rarely addressed in K-12 curricula. Each topic has long been neglected vis-à-vis a pedagogy that has either lagged behind contemporary issues or has intentionally sidestepped the importance of addressing these themes through legal and policy mechanisms that limit educators' ability to discuss each topic. When it comes to students and communities of color in the U.
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January 2025
Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, USA.
Recently acquired memories are reactivated in the hippocampus during sleep, an initial step for their consolidation. This process is concomitant with the hippocampal reactivation of previous memories, posing the problem of how to prevent interference between older and recent, initially labile, memory traces. Theoretical work has suggested that consolidating multiple memories while minimizing interference can be achieved by randomly interleaving their reactivation.
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