Results 71 to 80 of about 1,301,013 (293)
Data Augmentation for Conversational AI
Contains fulltext : 314621.pdf (Publisher’s version ) (Open Access)
Heydar Soudani +3 more
openaire +2 more sources
The Conversational Action Test: detecting the artificial sociality of AI
Drawing on the ‘Voigt-Kampff Empathy Test’—Phillip K. Dick’s fictionalized version of Turing’s famous thought experiment—we propose a Conversational Action Test (CAT) to identify and evaluate conversational AI voice agents. We compare social actions in a
Saul Albert (5986382) +3 more
core +4 more sources
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
Towards Conversational Diagnostic AI
46 pages, 5 figures in main text, 19 figures in ...
Tao Tu 0001 +24 more
openaire +2 more sources
Conversational AI systems are increasingly used not only for information seeking and learning but also for companionship, emotional support, and quasi-social interaction. Existing research has begun to link AI-companion use with depression and loneliness,
James E. Katz
doaj +1 more source
Towards Enhancing Industrial Training Through Conversational AI
Conversational AI (CAI) has proven effective in educational settings, however its potential in industrial training, where higher precision and reliability are required, remains under-explored.
Vasiliu, Miruna Maria +11 more
core +1 more source
Farmers’ Protests in Germany: Media Coverage and Types of Bias
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
The rapid diffusion of conversational artificial intelligence (AI) has reshaped the landscape of digital interaction in later life, with growing attention to its implications for older adults' mental health and wellbeing.
Chong Zhou +3 more
doaj +1 more source
Implementing the Rasa NLU pipeline allowed intent detection and entity recognition, particularly in complex scenarios with multi-intent queries. Communication within the Rasa NLU pipeline was effectively managed, ensuring seamless data flow between ...
Ewa Golec +4 more
core +1 more source

