Results 61 to 70 of about 1,301,013 (293)

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
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, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Conceptualizing the Value-in-Use for Conversational AI in Learning [PDF]

Digital Education: AI A.2:1 Introduction 2 Methodology 3 Results 3.1 ViU Dimensions from Literature 3.2 ViU Dimensions Applied to Conversational AI in Learning 3.3 Insights from Students on the ViU of Conversational AI 4 DiscussionIn recent years ...
Robra-Bissantz, Susanne, Glimmann, Valentin, Schlimbach, Ricarda   +2 more
core   +4 more sources

THE IMPLICATIONS OF THE EU AI ACT ON CONVERSATIONAL TECHNOLOGIES LIKE CHATGPT [PDF]

Challenges of the Knowledge Society
This paper investigates the implications of the European Union's Artificial Intelligence Act (AI Act), on conversational AI technologies. As the EU institutes a groundbreaking framework for AI regulation, this study assesses how the AI Act's risk ...
Emilian MATEICIUC
doaj  

Cyber Crimes And Social Media Addictions: The Role Of Perceived Usage Of Conversational GPT-4 AI Model Among Residents In Nigeria

Academic Journal of Psychology and Counseling
This study investigated cyber crimes and social media addictions: the role of perceived usage of conversational GPT-4 AI model among residents in Makurdi Nigeria.
Caleb Onah, Chinelo Helen Ogwuche, Joy Oluwatoyin Oladejo   +2 more
doaj   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
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, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Scaling Multimodal Agentic AI in Medical Education: Multisite Cross-Sectional Study of Simulation Effectiveness in Primary Care

JMIR Formative Research
BackgroundConversational artificial intelligence (AI) systems offer potential solutions to traditional constraints in medical consultation skills training, including high costs, scheduling difficulties, and varied standardization.
Chris Jacobs, Hans Johnson, Kirsty Brownlie, Richard Joiner, Trevor Thompson   +4 more
doaj   +1 more source

Key Considerations for Incorporating Conversational AI in Psychotherapy

Frontiers in Psychiatry, 2019
Conversational artificial intelligence (AI) is changing the way mental health care is delivered. By gathering diagnostic information, facilitating treatment, and reviewing clinician behavior, conversational AI is poised to impact traditional approaches ...
Adam S. Miner, Adam S. Miner, Adam S. Miner, Nigam Shah, Kim D. Bullock, Bruce A. Arnow, Jeremy Bailenson, Jeff Hancock   +7 more
doaj   +1 more source

Mechanically Reprogrammed Coaxial Fibers for Multiphysics Transduction and Human‐Machine Interfaces

Advanced Science, EarlyView.
A continuously wet‐spun coaxial fiber is developed to combine stretchable conductivity, resistive sensing, and self‐powered triboelectric sensing in a single architecture. A mechanically reprogrammed dual‐network sheath stabilizes large deformation and improves signal reliability. These fibers can be woven into textile interfaces for multichannel touch
Xinyi Cao, Chao Ye, Shengjie Ling, Ming Li, Zhao Sha, Chun‐Hui Wang, Shuhua Peng   +6 more
wiley   +1 more source

Using AI chatbots (e.g., CHATGPT) in seeking health-related information online: The case of a common ailment

Computers in Human Behavior: Artificial Humans
In the age of AI, healthcare practices and patient-provider communications can be significantly transformed via AI-based tools and systems that distribute Intelligence on the Internet.
Pouyan Esmaeilzadeh, Mahed Maddah, Tala Mirzaei   +2 more
doaj   +1 more source

Structural Divergence Between the Moltbook AI‐Agent Network and Human Social Networks

Advanced Science, EarlyView.
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