Results 71 to 80 of about 45,790 (251)

Contextual Language Model Adaptation for Conversational Agents

, 2018
Statistical language models (LM) play a key role in Automatic Speech Recognition (ASR) systems used by conversational agents. These ASR systems should provide a high accuracy under a variety of speaking styles, domains, vocabulary and argots.
Gandhe, Ankur, Hedayatnia, Behnam, Khatri, Chandra, Liu, Linda, Metallinou, Angeliki, Raju, Anirudh, Rastrow, Ariya, Venkatesh, Anu   +7 more
core   +1 more source

Learning the Lessons of Premature Discontinuation of Eating Disorder Therapy: Informing Guidelines to Improve Retention

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Around one to two in five patients prematurely disengage from eating disorder therapy. This Forum paper suggests innovative strategies to increase retention and strategies for evaluating these with patients who have eating disorders.
Tracey D. Wade, Ulrike Schmidt
wiley   +1 more source

AI Health Care Chatbot

International Journal for Modern Trends in Science and Technology, 2020
Healthcare bot is a technology that makes interaction between man and machine possible by using Artificial Intelligence with the support of dialog flow. Now a day people tend to seek knowledge or information from internet that concern with health through online healthcare services. To lead a good life healthcare is very much important.
openaire   +1 more source

The Limited Effect of Graphic Elements in Video and Augmented Reality on Children’s Listening Comprehension [PDF]

, 2020
There is currently significant interest in the use of instructional strategies in learning environments thanks to the emergence of new multimedia systems that combine text, audio, graphics and video, such as augmented reality (AR).
Garza Martínez, Alejandra Estefanía, López Chao, Vicente Adrián, Martin Gutierrez, Jorge, Río Guerra, Marta Sylvia del   +3 more
core   +1 more source

Strategic Priorities for Advancing Eating Disorder Risk Reduction: A Narrative Review

International Journal of Eating Disorders, EarlyView.
ABSTRACT Despite decades of advances in treatment, eating disorders continue to impose substantial individual and societal burden, underscoring the need for earlier and more effective risk reduction. Prevention research has expanded considerably, producing a wide range of approaches that target modifiable risk factors, build individual coping skills ...
Hannah K. Jarman
wiley   +1 more source

Reference Hallucination Score for Medical Artificial Intelligence Chatbots: Development and Usability Study

JMIR Medical Informatics
BackgroundArtificial intelligence (AI) chatbots have recently gained use in medical practice by health care practitioners. Interestingly, the output of these AI chatbots was found to have varying degrees of hallucination in ...
Fadi Aljamaan, Mohamad-Hani Temsah, Ibraheem Altamimi, Ayman Al-Eyadhy, Amr Jamal, Khalid Alhasan, Tamer A Mesallam, Mohamed Farahat, Khalid H Malki   +8 more
doaj   +1 more source

Comparative assessment of artificial intelligence chatbots' performance in responding to healthcare professionals' and caregivers' questions about Dravet syndrome

Epilepsia Open, EarlyView.
Abstract Objective Artificial intelligence chatbots have been a game changer in healthcare, providing immediate, round‐the‐clock assistance. However, their accuracy across specific medical domains remains under‐evaluated. Dravet syndrome remains one of the most challenging epileptic encephalopathies, with new data continuously emerging in the ...
Joana Jesus‐Ribeiro, Eugenia Roza, Bárbara Oliveiros, Joana Barbosa Melo, Mar Carreño   +4 more
wiley   +1 more source

FAQchat as in Information Retrieval system [PDF]

, 2005
A chatbot is a conversational agent that interacts with users through natural languages. In this paper, we describe a new way to access information using a chatbot.
Abu Shawar, B.A., Atwell, E., Roberts, A.   +2 more
core  

Evaluating the impact of an AI‐powered chatbot on epilepsy education and stigma reduction: A pre‐post intervention study using EpiloBot

Epilepsia Open, EarlyView.
Abstract Objective Effective epilepsy management requires accurate epilepsy knowledge, active patient engagement, and stigma reduction to improve health outcomes. Educational interventions have been shown to enhance patients' quality of life (QOL) and knowledge. This study evaluated the effectiveness of EpiloBot, an artificial intelligence (AI)‐powered
Izumi Kuramochi, Ryoya Oba, Naoki Nozawa, Tomoki Ishihara, Koko Oga, Takayuki Iwayama, Takafumi Shiganami, Sayaka Kobayashi, Hironori Kuga, Haruo Yoshimasu, Keiichi Watanuki   +10 more
wiley   +1 more source

Student teachers’ perceptions of artificial intelligence chatbots for classroom practices: An interpretative phenomenological analysis

Interdisciplinary Journal of Education Research
This paper examines student teachers’ understanding of Artificial Intelligence (AI) chatbots and their application in teaching and learning practices. A qualitative research methodology, specifically Interpretative Phenomenological Analysis (IPA), was ...
Paseka Patric Mollo
doaj   +1 more source