Results 71 to 80 of about 4,913 (305)

Recovering from non-understanding errors in a conversational system [PDF]

, 2012
Spoken dialogue systems can encounter different types of errors, including nonunderstanding errors where the system recognises that the user has spoken, but does not understand the utterance.
Matheson, Colin, Matthew, Hednerson, Oberlander, Jon   +2 more
core  

Combining heterogeneous inputs for the development of adaptive and multimodal interaction systems

Advances in Distributed Computing and Artificial Intelligence Journal, 2013
In this paper we present a novel framework for the integration of visual sensor networks and speech-based interfaces. Our proposal follows the standard reference architecture in fusion systems (JDL), and combines different techniques related to ...
David GRIOL, Jesús GARCÍA-HERRERO, José Manuel MOLINA   +2 more
doaj   +1 more source

Accessible conversational user interfaces

Proceedings of the 17th International Web for All Conference, 2020
Conversational user interfaces (CUIs), such as chatbots and voice assistants, are increasingly common in areas of day-to-day life, and can be expected to become ever more pervasive in the future. These interfaces are being designed for ever more complex interactions, and they appear to have potential to be beneficial to people with disabilities to ...
Lister, Kate, Coughlan, Tim, Iniesto, Francisco, Freear, Nick, Devine, Peter   +4 more
openaire   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
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, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

GraphRAG for engineering diagrams: ChatP&ID enables LLM interaction with P&IDs

AIChE Journal, EarlyView.
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, Artur M. Schweidtmann   +1 more
wiley   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
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, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

A multilevel natural language query approach conversational agent systems [PDF]

, 2007
The main aim of this research is to investigate a novel technique for implementing a conversational intelligent agent system on the web. The research will focus on a multilevel natural language query approach.
Depickere, A., Wong, K.W., Goh, Ong Sing, Fung, Chun Che, Fung, C.C., Depickere, Arnold, Wong, Kok Wai, Goh, O.S.   +7 more
core   +1 more source

A Conversational User Interface for Software Visualization [PDF]

2017 IEEE Working Conference on Software Visualization (VISSOFT), 2017
Software visualizations provide many different complex views with different filters and metrics. But often users have a specific question to which they want to have an answer or they need to find the best visualization by themselves and are not aware of other metrics and possibilities of the visualization tool.
Bieliauskas, Stefan, Schreiber, Andreas
openaire   +2 more sources

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
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, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Intelligent user interfaces for mobile computing [PDF]

, 2008
In this chapter, the practical issue of realizing a necessary intelligence quotient for realizing Intelligent User Interfaces (IUIs) on mobile devices is considered.
O'Hare, G. M. P. (Greg M. P.), O'Grady, Michael J.   +1 more
core