Results 221 to 230 of about 66,641 (272)

Demystifying the mist: Why do individuals hesitate to accept AI educational services?

British Journal of Psychology, EarlyView.
Abstract Rapid advances in AI technology are fuelling the proliferation of AI applications across industries, including educational services. With the allure of intelligent tutoring, individuals now face the choice of their educational approach—either parental engagement or utilizing AI educational services. This research employs an experimental design
Aiping Shao, Zhi Lu, Stephanie Q. Liu, Yin Shi, Wei Lu   +4 more
wiley   +1 more source

Comparative Evaluation of Gemini 3.0- and ChatGPT 5.0-Generated Regional Language Informed Consent Forms in Ophthalmology: A Dual-Rater Study in Hindi and Kannada. [PDF]

Cureus
Das D, Shetti B, Antalmarad V, Choudhary A, Thodupunoori KG, Grover S, Narayan A.   +6 more
europepmc   +1 more source

Shame as a mediator of the association of childhood emotional abuse with aversive cognitive perseveration in adults

British Journal of Psychology, EarlyView.
Abstract Childhood emotional abuse (CEA) has been linked to response‐focused emotion regulation in adulthood. However, the underlying mechanisms remain unexplored. This pre‐registered study examined whether shame mediates the association between CEA history and aversive cognitive perseveration (ACP), including brooding rumination, experiential ...
Mohammadali Amini‐Tehrani, Michael Weinborn, Kenneth Sim, Jeneva L. Ohan, Kristin Naragon‐Gainey   +4 more
wiley   +1 more source

Evaluating Creative Output With Generative Artificial Intelligence: Comparing GPT Models and Human Experts in Idea Evaluation

Creativity and Innovation Management, Volume 34, Issue 4, Page 991-1012, December 2025.
ABSTRACT Traditional techniques for evaluating creative outcomes are typically based on evaluations made by human experts. These methods suffer from challenges such as subjectivity, biases, limited availability, ‘crowding’, and high transaction costs. We propose that large language models (LLMs) can be used to overcome these shortcomings.
Theresa Kranzle, Katelyn Sharratt
wiley   +1 more source

The Development and Use of AI Chatbots for Health Behavior Change: Scoping Review. [PDF]

J Med Internet Res
Fu L, Burns R, Xie Y, Shen J, Zhe S, Estabrooks P, Bai Y.   +6 more
europepmc   +1 more source

Algorithms in the Realm of Fuzziness. How Generative Artificial Intelligence Is Changing the Front End of Innovation

Creativity and Innovation Management, EarlyView.
ABSTRACT This study aims to explore how Generative Artificial Intelligence is reshaping human innovation practices at the front end of innovation. The front end of innovation encompasses opportunity identification and ideation activities and has always been considered a ‘human’ phase.
Francesca Bellesia, Paola Bellis, Giulia Palombi   +2 more
wiley   +1 more source

Comparison of online radiologists and large language model chatbots in responding to common radiology-related questions in Chinese: a cross-sectional comparative analysis. [PDF]

Quant Imaging Med Surg
Ji J, Li C, Fu Y, Zhao Z, Wu Y, Liang C, Wu Y.   +6 more
europepmc   +1 more source

How do Artificial Intelligence chatbots respond to questions from adolescent personas about their eating, body weight or appearance?

Child and Adolescent Mental Health, EarlyView.
Background Body image and eating behaviours are common areas of concern for early adolescents. Artificial Intelligence (AI) interactions are becoming commonplace, including with chatbots that provide human‐like communication. Adolescents may prefer using chatbots to anonymously ask sensitive questions, rather than approaching trusted adults or peers ...
Florence Sheen, Bethany Mullarkey, Gemma L. Witcomb, Marie‐Christine Opitz, Ellen Maloney, Saffron M. Baldoza, Hannah J. White   +6 more
wiley   +1 more source

Assessing the capabilities of AI-based large language models (AI-LLMs) in interpreting histopathological slides and scientific figures: Performance evaluation study. [PDF]

Biomedicine (Taipei)
Gumilar KE, Ariani G, Wiratama PA, Rimbun, Yuliawati TH, Chen H, Ibrahim IH, Lin CH, Hung TY, Anggrahini D, Rajanagara AS, Omran KE, Yu ZY, Hsu YC, Dachlan EG, Yang JY, Liao LN, Tan M.   +17 more
europepmc   +1 more source

Evaluation of validity, reliability, and readability of AI chatbots for gestational diabetes mellitus: a multi-model comparative study. [PDF]

Front Public Health
Wang X, Lin S, Liu H, Li C, Zhou L, Li R.   +5 more
europepmc   +1 more source