Results 51 to 60 of about 5,436 (257)

ParlAmI: A Multimodal Approach for Programming Intelligent Environments

Technologies, 2019
The proliferation of Internet of Things (IoT) devices and services and their integration in intelligent environments creates the need for a simple yet effective way of controlling and communicating with them.
Evropi Stefanidi, Michalis Foukarakis, Dimitrios Arampatzis, Maria Korozi, Asterios Leonidis, Margherita Antona   +5 more
doaj   +1 more source

Adapting conversational strategies in information-giving human-agent interaction

Frontiers in Artificial Intelligence, 2022
In this work, we focus on human-agent interaction where the role of the socially interactive agent is to optimize the amount of information to give to a user.
Lucie Galland, Lucie Galland, Catherine Pelachaud, Florian Pecune   +3 more
doaj   +1 more source

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

Developing multimodal conversational agents for an enhanced e-learning experience

Advances in Distributed Computing and Artificial Intelligence Journal, 2014
Conversational agents have become a strong alternative to enhance educational systems with intelligent communicative capabilities, provide motivation and engagement, and increment significant learning and helping in the acquisition of meta-cognitive ...
David GRIOL, Jose Manuel MOLINA, Araceli SANCHÍS DE MIGUEL   +2 more
doaj   +1 more source

Can Gestural Filler Reduce User-Perceived Latency in Conversation with Digital Humans?

Applied Sciences, 2022
The demand for a conversational system with digital humans has increased with the development of artificial intelligence. Latency can occur in such conversational systems because of natural language processing and network issues, which can deteriorate ...
Junyeong Kum, Myungho Lee
doaj   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

Real-World Engagement With a Generative AI Conversational Agent for Mental Health Support: Retrospective Descriptive Study

JMIR Formative Research
BackgroundGenerative artificial intelligence (GenAI) conversational agents are increasingly integrated within digital mental health interventions (DMHIs).
Kelsey McAlister, Courtney Jewell, Jennifer Huberty   +2 more
doaj   +1 more source

Development of an Instrument to Measure Conceptualizations and Competencies About Conversational Agents on the Example of Smart Speakers

Frontiers in Computer Science, 2021
The concept of digital literacy has been introduced as a new cultural technique, which is regarded as essential for successful participation in a (future) digitized world.
Carolin Wienrich, Astrid Carolus
doaj   +1 more source

3D‐Nanoprinted Fluidically Steerable Soft Robotic Microcatheters

Advanced Robotics Research, EarlyView.
This work introduces a ∼3‐French (1 mm‐in‐diameter) soft robotic microcatheter fabricated by means of two‐photon direct laser writing. The 3D‐printed microcatheter enables remote, on‐demand steering via microfluidic actuation for guidewire‐free navigation of vascular networks as well as microcatheter‐mediated delivery of fluidic payloads to target ...
Bailey M. Felix, Molly Carton, Olivia M. Young, Noah Barnes, Jordi T. Andreou, Sarah McHugh, Jack E. McCann, Claudia Davis, Victoria Reddig‐Leiman, Afsah Kamran, Dheeraj Gandhi, Miroslaw Janowski, Jeremy D. Brown, Mark Fuge, Axel Krieger, Clifford R. Weiss, Christopher R. Bailey, Ryan D. Sochol   +17 more
wiley   +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