ChatGPT is a high-performance large language model that has the potential to significantly improve human-computer interactions. It can provide advice on a range of topics, but it is unclear how good this advice is relative to that provided by competent humans, especially in situations where empathy is required. Here, we report the first investigation of whether ChatGPT's responses are perceived as better than those of humans in a task where humans were attempting to be empathetic. Fifty social dilemma questions were randomly selected from 10 well-known advice columns. In a pre-registered survey, participants ( = 404) were each shown one question, along with the corresponding response by an advice columnist and by ChatGPT. ChatGPT's advice was perceived as more balanced, complete, empathetic, helpful, and better than the advice provided by professional advice columnists (all values of < 0.001). Although participants could not determine which response was written by ChatGPT (54%, = 0.29), most participants preferred that their own social dilemma questions be answered by a human than by a computer (77%, < 0.001). ChatGPT's responses were longer than those produced by the advice columnists (mean 280.9 words vs. 142.2 words, < 0.001). In a second pre-registered survey, each ChatGPT answer was constrained to be approximately the same length as that of the advice columnist (mean 143.2 vs. 142.2 words, = 0.95). This survey ( = 401) replicated the above findings, showing that the benefit of ChatGPT was not solely due to it writing longer answers.
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http://dx.doi.org/10.3389/fpsyg.2023.1281255 | DOI Listing |
JMIR Aging
January 2025
Department of Computing, Faculty of Computer and Mathematical Sciences, Hong Kong Polytechnic University, Hung Hom, China (Hong Kong).
Background: Providing ongoing support to the increasing number of caregivers as their needs change in the long-term course of dementia is a severe challenge to any health care system. Conversational artificial intelligence (AI) operating 24/7 may help to tackle this problem.
Objective: This study describes the development of a generative AI chatbot-the PDC30 Chatbot-and evaluates its acceptability in a mixed methods study.
J Nutr
December 2024
Department of Biomedical Sciences, School of Medicine, Nazarbayev University, Astana, 010000, Kazakhstan. Electronic address:
Background: While large language models like ChatGPT-4 have demonstrated competency in English, their performance for minority groups speaking underrepresented languages, as well as their ability to adapt to specific socio-cultural nuances and regional cuisines, such as those in Central Asia (e.g., Kazakhstan), still requires further investigation.
View Article and Find Full Text PDFNutr Res
November 2024
Department of Internal Medicine, Hacettepe University School of Medicine, 06100, Ankara, Turkey; Division of Endocrinology and Metabolism, Hacettepe University School of Medicine, 06100, Ankara, Turkey. Electronic address:
Patients with polycystic ovary syndrome (PCOS) often have many questions about nutrition and turn to chatbots such as Chat Generative Pretrained Transformer (ChatGPT) for advice. This study aims to evaluate the reliability, quality, and readability of ChatGPT's responses to nutrition-related questions asked by women with PCOS. Frequently asked nutrition-related questions from women with PCOS were reviewed in both Turkish and English.
View Article and Find Full Text PDFBMC Health Serv Res
November 2024
Faculty of Medicine, Fayoum University, Fayoum, Egypt.
Background: The emergence of large language models (LLMs) like ChatGPT attracted significant attention for their potential to revolutionize pharmacy practice. While artificial intelligence (AI) offers promising benefits, its integration also presents unique challenges.
Objectives: This cross-sectional study aimed to explore the current Egyptian pharmacists' perceptions, practices, and concerns regarding ChatGPT in pharmacy practice.
Can J Physiol Pharmacol
November 2024
University of South Florida, Department of Internal Medicine, Tampa, United States;
Integrating artificial intelligence (AI) into healthcare prompts the need to measure its proficiency relative to human experts. This study evaluates the proficiency of ChatGPT, an OpenAI language model, in offering guidance concerning bariatric surgery compared to bariatric surgeons. Five clinical scenarios representative of diverse bariatric surgery situations were given to ASMBS-accredited bariatric surgeons and ChatGPT.
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