Results 81 to 90 of about 13,051 (299)
Abstract: A conversational assistant is an intelligent conversational computing system designed to mimic human speech to provide automated online guidance and support. The growing benefits of conversational support have led to widespread adoption across many industries to provide virtual support to their customers.
openaire +1 more source
Satisfaction with Conversational AI [abstract] [PDF]
Girão Carrilho, M., & Pinto, D. C. (2024). The Feeling Economy in Healthcare: Satisfaction with Conversational AI [abstract]. In Proceedings of the European Marketing Academy (pp. 1-2). Article 12268 European Marketing Academy (EMAC). https://proceedings.
Pinto, Diego Costa +1 more
core +1 more source
GraphRAG for engineering diagrams: ChatP&ID enables LLM interaction with P&IDs
Abstract Piping and Instrumentation Diagrams (P&IDs) are central to process engineering workflows, yet extracting information from them remains a tedious and time‐consuming task. This work introduces ChatP&ID, a framework enabling natural‐language interaction with smart P&IDs through Graph Retrieval‐Augmented Generation (GraphRAG), to our knowledge ...
Achmad Anggawirya Alimin +1 more
wiley +1 more source
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
A Maturity Assessment Framework for Conversational AI Development Platforms [PDF]
Conversational Artificial Intelligence (AI) systems have recently skyrocketed in popularity and are now used in many applications, from car assistants to customer support.
LU, PHILIP, ARONSSON, JOHAN
core
Theory of AI Mind: How adults and children reason about the ``mental states'' of conversational AI [PDF]
Conversational AI devices are increasingly present in our lives and even used by children to ask questions, play, and learn. These entities not only blur the line between objects and agents—they are speakers (objects) that respond to speech and engage in
Lowe, Lauren +4 more
core
Advanced Experiment Design Strategies for Drug Development
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
The construction sector is rapidly moving toward the adoption of conversational artificial intelligence (AI). However, several complexities prevent conversational AI from being fully utilized in small construction projects.
Fadi Althoey +3 more
doaj +1 more source
Requirements Conflicts Detection: Advancing with Conversational AI [PDF]
Conversational AI, which includes technologies like chatbots and virtual assistants facilitate Crowd-Based Requirements Engineering (CrowdRE) by streamlining the process of gathering and analyzing requirements from a large and diverse group of ...
Kisso, George +2 more
core +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

