Results 91 to 100 of about 102,942 (277)
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
The Personalization of Conversational Agents in Health Care: Systematic Review
Journal of Medical Internet Research, 2019 BackgroundThe personalization of conversational agents with natural language user interfaces is seeing increasing use in health care applications, shaping the content, structure, or purpose of the dialogue between humans and conversational agents.
Kocaballi, Ahmet Baki +7 more
doaj +1 more source
CONVERSATIONAL AGENT FOR HEALTH COACHING
, 2019 Poor diet and physical inactivity are two of the biggest healthcare challenges we are facing, and are related to individuals lifestyle. In fact, a poor lifestyle is strongly correlated to chronic diseases, the leading causes for morbidity and mortality.
openaire +3 more sources
A Generative Model of Group Conversation
, 2017 Conversations with non-player characters (NPCs) in games are typically confined to dialogue between a human player and a virtual agent, where the conversation is initiated and controlled by the player.
Martens, Chris, Morrison, Hannah
core +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.We demonstrate the direct‐laser patterning of a gold thin film on polymethyl methacrylate to fabricate a temperature sensor for dentures. The temperature sensor‐embedded smart dentures are evaluated in an oral environment, enabling in‐situ monitoring for elderly healthcare.
Han Ku Nam +7 more
wiley +1 more source
No Grice: Computers that Lie, Deceive and Conceal [PDF]
, 2011 In the future our daily life interactions with other people, with computers, robots and smart environments will be recorded and interpreted by computers or embedded intelligence in environments, furniture, robots, displays, and wearables.
Nijholt, Anton
core +1 more source
Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot
Advanced Intelligent Systems, EarlyView.This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley +1 more source
BMC Medical Informatics and Decision Making, 2020 Background Previously, we introduced our Patient Health Information Dialogue Ontology (PHIDO) that manages the dialogue and contextual information of the session between an agent and a health consumer.
Muhammad Amith +8 more
doaj +1 more source
Believable conversational agents for teaching ancient history and culture in 3D virtual worlds [PDF]
, 2011 University of Technology, Sydney. Faculty of Engineering and Information Technology.This thesis introduces believable conversational agents as an engaging and motivational learning tool for teaching ancient history and culture in virtual worlds ...
Ijaz, K
core
Enabling Stochastic Dynamic Games for Robotic Swarms
Advanced Intelligent Systems, EarlyView.This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley +1 more source