Results 181 to 190 of about 127,713 (280)
A conceptual exploration of generative AI-induced cognitive dissonance and its emergence in university-level academic writing. [PDF]
Seran CE +3 more
europepmc +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Cognitive Dissonance in Laboratory Animal Medicine and Implications for Animal Welfare. [PDF]
Engel RM +3 more
europepmc +1 more source
Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley +1 more source
Addressing treatment fatigue, therapeutic inertia, and cognitive dissonance in musculoskeletal pain management in primary care setting. [PDF]
Jerjes W, Harding D, Hilton A.
europepmc +1 more source
The pursuit‐evasion game is studied for two adversarial active agents, modeled as deterministic self‐steering pursuer and stochastic, cognitive evader. For a successful evasion strategy, the motile target has to exploit all available pursuer information, e.g., by tuning the tumbling frequency with the pursuer distance.
Segun Goh +2 more
wiley +1 more source
Kernels of selfhood: GPT-4o shows humanlike patterns of cognitive dissonance moderated by free choice. [PDF]
Lehr SA +4 more
europepmc +1 more source
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Children and divorce: A rapid review targeting cognitive dissonance, in the context of narrative therapy. [PDF]
Lie Ken Jie C +2 more
europepmc +1 more source

