Results 41 to 50 of about 5,436 (257)

Towards Teachable Conversational Agents

CoRR, 2021
The traditional process of building interactive machine learning systems can be viewed as a teacher-learner interaction scenario where the machine-learners are trained by one or more human-teachers. In this work, we explore the idea of using a conversational interface to investigate the interaction between human-teachers and interactive machine ...
Nalin Chhibber, Edith Law
openaire   +2 more sources

Building a Framework for Sexual and Reproductive Health Care in the Rheumatology Context: Content and Approaches

Arthritis Care &Research, EarlyView.
People with systemic autoimmune and rheumatic diseases (SARDs) are at higher risk than the general population of experiencing adverse pregnancy and perinatal outcomes such as preeclampsia, intrauterine growth restriction, and maternal and/or fetal death.
Mehret Birru Talabi, Sonya Borrero
wiley   +1 more source

A conversational agent system for dietary supplements use

BMC Medical Informatics and Decision Making, 2022
Background Dietary supplements (DS) have been widely used by consumers, but the information around the efficacy and safety of DS is disparate or incomplete, thus creating barriers for consumers to find information effectively.
Esha Singh, Anu Bompelli, Ruyuan Wan, Jiang Bian, Serguei Pakhomov, Rui Zhang   +5 more
doaj   +1 more source

Analysis of Tools for the Development of Conversational Agents

Computer Sciences & Mathematics Forum, 2023
Conversational agents are being increasingly adopted in various domains, such as e-commerce and customer services, and as a direct communication channel between companies and end-users. Several tools have been developed to facilitate their definition and
Lamya Benaddi, Charaf Ouaddi, Ismaïl Khriss, Brahim Ouchao   +3 more
doaj   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

AIMT Agent: An Artificial Intelligence-Based Academic Support System

Information
The development and use of conversational agents in education has become widespread in recent years because of their ability to facilitate student interaction with the learning material, improve engagement and provide academic support, while at the same ...
Chris Lytridis, Avgoustos Tsinakos
doaj   +1 more source

Conversational Agents for Health and Wellbeing [PDF]

Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020
Conversational agents have increasingly been deployed in healthcare applications. However, significant challenges remain in developing this technology. Recent research in this area has highlighted that: i) patient safety was rarely evaluated; ii) health outcomes were poorly measured, and iii) no standardised evaluation methods were employed.
Ahmet Baki Kocaballi, Juan C. Quiroz, Liliana Laranjo, Dana Rezazadegan, Rafal Kocielnik, Leigh Clark, Q. Vera Liao, Sun Young Park, Robert J. Moore, Adam S. Miner   +9 more
openaire   +1 more source

An All‐Textile, Mechano‐Capacitive Subtle Movement Sensor

Advanced Functional Materials, EarlyView.
A robust all‐textile capacitive sensor is introduced for measuring subtle body movements without long‐term degradation. By separating mechanical deformation from electrical sensing elements, accuracy, responsiveness, and durability are improved. Simple fabrication methods are presented, electrode effects are analyzed, and performance is validated ...
Easa AliAbbasi, Rachel Freire, Valentin Martinez‐Missir, Vineetha Rallabandi, Paul Strohmeier   +4 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source