Chatbot

Study reveals that emotional support and practical assistance drive user relationships with mental health chatbots, with trust and satisfaction as outcomes rather than predictors.

Physician-led evaluation of four large language model chatbots reveals unsafe medical advice rates from 5-13%, with potentially serious consequences for patient care.

Ritchy chatbot combines RAG with human quality assurance at RWTH Aachen University IT support, achieving 76% satisfaction through weekly human review of all conversations.

Cleo is a transparent conversational commerce chatbot that combines explicit ranking with constrained language generation to provide auditable product recommendations while preventing hallucination.

Neural transparency interface for LLM chatbot design enabling users to anticipate model behaviors through mechanistic interpretability visualization of behavioral trait vectors.

Full-stack e-commerce platform integrating generative AI for custom jewelry design, conversational intelligence with live commodity pricing, and real-time market data for heritage jewelry retailers.

Study using interpretive structural modeling to analyze critical failure factors of AI chatbots in academic research, revealing researcher knowledge deficiency as the primary constraint.

Agricultural advisory system integrating vision-language models and retrieval-augmented generation for reliable crop disease identification and knowledge-grounded farmer guidance.

AI-powered multi-tenant SaaS platform integrating chatbots and voice assistants for scalable automated customer support with real-time dashboards and dynamic knowledge bases.

Exploratory factor analysis identifies ease of use, recommendation capability, and advanced features as key factors for financial modeling chatbots serving startups.