Results 71 to 80 of about 1,651,875 (285)
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
This study presents synthetic embodied conversational agents, and how they can be used to explore the persuasive potential of real embodied conversational agents.
Olivier P +3 more
core +4 more sources
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Remembering a Conversation – A Conversational Memory Architecture for Embodied Conversational Agents
This paper addresses the role of conversational memory in Embodied Conversational Agents (ECAs). It describes an investigation into developing such a memory architecture and integrating it into an ECA.
Elvir Miguel +3 more
doaj +1 more source
This paper explores the potential implications of embodied conversational agents (ECAs) in healthcare, focusing on the impact of appearance and conversation style on trustworthiness.
Rousian, Melek (author) +4 more
core +1 more source
Structural Divergence Between the Moltbook AI‐Agent Network and Human Social Networks
Analysis of the Moltbook AI‐agent network reveals a striking combination of familiar global scaling and distinct internal organization. Attention is highly concentrated, reciprocity is limited, connected triads are suppressed, and communities are strongly modular.
Wenpin Hou, Zhicheng Ji
wiley +1 more source
BackgroundConversational agents (also known as chatbots) have evolved in recent decades to become multimodal, multifunctional platforms with potential to automate a diverse range of health-related activities supporting the general public, patients, and ...
de Cock, Caroline +5 more
doaj +1 more source
Adaptive Expressiveness – Virtual Conversational Agents That Can Align to Their Interaction Partner [PDF]
Buschmeier H, Bergmann K, Kopp S. Adaptive Expressiveness – Virtual Conversational Agents That Can Align to Their Interaction Partner. In: van der Hoek W, Kaminka GA, Luck M, Sen S, eds.
Kopp, Stefan ; https://orcid.org/ +6 more
core
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani +3 more
wiley +1 more source
Investigating conversational agents to support secondary school computer science exploratory search
Pollock, Lori L.Online educational resources (e.g., curricula, tutorials, documentation, Q\&A sites) increasingly serve as key sources for secondary school students learning Computer Science Principles (CSP).
Frazier, Matthew
core +1 more source

