This study investigates whether understanding up/down metaphors as well as semantically homologous literal sentences activates embodied representations online. Participants read orientational literal sentences (e.g., she climbed up the hill), metaphors (e.g., she climbed up in the company), and abstract sentences with similar meaning to the metaphors (e.g., she succeeded in the company). In Experiments 1 and 2, participants were asked to perform a speeded upward or downward hand motion while they were reading the sentence verb. The hand motion either matched or mismatched the direction connoted by the sentence. The results showed a meaning-action effect for metaphors and literals, that is, faster hand motion responses in the matching conditions. Notably, the matching advantage was also found for homologous abstract sentences, indicating that some abstract ideas are conceptually organized in the vertical dimension, even when they are expressed by means of literal sentences. In Experiment 3, participants responded to an upward or downward visual motion associated with the sentence verb by pressing a single key. In this case, the facilitation effect for matching visual motion-sentence meaning faded, indicating that the visual motion component is less important than the action component in conceptual metaphors. Most up and down metaphors convey emotionally positive and negative information, respectively. We suggest that metaphorical meaning elicits upward/downward movements because they are grounded on the bodily expression of the corresponding emotions.
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http://dx.doi.org/10.3389/fpsyg.2011.00090 | DOI Listing |
JB JS Open Access
January 2025
Department of Anesthesiology, University of California, Irvine, Medical Center, Orange, California.
Background: This study assesses the effectiveness of large language models (LLMs) in simplifying complex language within orthopaedic patient education materials (PEMs) and identifies predictive factors for successful text transformation.
Methods: We transformed 48 orthopaedic PEMs using GPT-4, GPT-3.5, Claude 2, and Llama 2.
JTCVS Open
December 2024
Section of Thoracic Surgery, Department of Surgery, University of Chicago Medicine, Chicago, Ill.
Objective: Well-designed patient education materials (PEMs) increase health literacy, which has been linked to better surgical patient outcomes. The quality of lung cancer surgery PEMs is unknown, however. Here we assessed printed lung cancer surgery PEMs for readability, understandability, actionability, and accessibility.
View Article and Find Full Text PDFSurgery
January 2025
Department of Surgery, University of Alabama at Birmingham, AL. Electronic address:
Background: Improving patient education has been shown to improve clinical outcomes and reduce disparities, though such efforts can be labor intensive. Large language models may serve as an accessible method to improve patient educational material. The aim of this study was to compare readability between existing educational materials and those generated by large language models.
View Article and Find Full Text PDFCureus
November 2024
Emergency Medicine, Valaichchenai Base Hospital, Valaichchenai, LKA.
Introduction: Artificial intelligence (AI) plays a significant role in creating brochures on radiological procedures for patient education. Thus, this study aimed to evaluate the responses generated by ChatGPT (San Francisco, CA: OpenAI) and Google Gemini (Mountain View, CA: Google LLC) on abdominal ultrasound, abdominal CT scan, and abdominal MRI.
Methodology: A cross-sectional original research was conducted over one week in June 2024 to evaluate the quality of patient information brochures produced by ChatGPT 3.
Brain Lang
December 2024
Department of Psychology, University of Arizona, USA; Cognitive Science Program, University of Arizona, USA. Electronic address:
Past studies showed that metaphoric expressions (e.g., "she was cold to him") require more cognitive-neural effort than literal paraphrases (e.
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