Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Eine kritisch-kontrastive Darstellung der Kognitiven Linguistik [PDF]
This article attempts a brief introduction on the topic of cognitive sciences. By emphasizing cognitive linguistics, which separates in two positions will be part of the cognitive Sciences expressed with their linguistic function and is the heart matter,
Demir, Kemal, Kınsız, Mustafa
core
Consumer Preferences for Craft Beer: The Interplay of Localness and Advertising Language
ABSTRACT This study explores the influence of the language of the label, origin of production, and origin of brewing ingredients on Croatian consumers' preferences and willingness to pay for organic craft beer. Employing an online survey and a choice experiment among 223 Croatian alcohol consumers, we find that while there's a willingness to pay a ...
Marija Cerjak +2 more
wiley +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
The spontaneous emergence of rhythmic coordination in turn taking
Turn-taking is a feature of many social interactions such as group music-making, where partners must alternate turns with high precision and accuracy.
Anna Zamm +2 more
doaj +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Current issues of cognitive linguistic studies of Serbian [PDF]
The paper discusses the results of research by Serbian scholars into the field of cognitive linguistics over the past ten years. Special emphasis is laid on the cognitive linguistic studies of grammar, both in Serbian proper and from the ...
Popović Ljudmila V.
doaj +1 more source
Concept as the basic notion of modern scientific paradigm [PDF]
У статті досліджується концепт як базове семантичне поняття когнітивної лінгвістики. Розглядається поняття когнітивна лінгвистика, аналізуються особливості когнітивної лінгвистики, різновиди дефініцій концепт.In the article is examined the concept as ...
Markova, Olha Ivanivna +2 more
core
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
The ontology of signs as linguistic and non-linguistic entities: a cognitive perspective [PDF]
It is argued that the traditional philosophical/linguistic analysis of semiotic phe-nomena is based on the false epistemological assumption that linguistic and non-linguistic entities possess different ontologies.
Kravchenko, Prof. A.V.
core +1 more source

