Results 181 to 190 of about 86,873 (400)

Smart chatbot

, 2018
56
openaire   +2 more sources

Current State of Evidence for Use of MRI in LI‐RADS

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT The American College of Radiology Liver Imaging Reporting and Data System (LI‐RADS) is the preeminent framework for classification and risk stratification of liver observations on imaging in patients at high risk for hepatocellular carcinoma.
Ameya Madhav Kulkarni, Danielle Kruse, Kelly Harper, Eric Lam, Hoda Osman, Danyaal H. Ansari, Umaseh Sivanesan, Mustafa R. Bashir, Andreu F. Costa, Matthew McInnes, Christian B. van der Pol   +10 more
wiley   +1 more source

Enhancing Durrotalk Chatbot Accuracy Utilizing a Hybrid Model Based on Recurrent Neural Network (RNN) Algorithm and Decision Tree

Jurnal Informatika
DurroTalk, a chatbot for new student admissions at Pondok Pesantren Durrotu Ahlissunnah Waljamaah, Semarang, integrates a hybrid model with Recurrent Neural Network (RNN) and Decision Tree.
Dede Rizki Darmawan, Riza Arifudin
doaj   +1 more source

You, Me, and the AI: The Role of Third‐Party Human Teammates for Trust Formation Toward AI Teammates

Journal of Organizational Behavior, EarlyView.
ABSTRACT As artificial intelligence (AI) becomes increasingly integrated in teams, understanding the factors that drive trust formation between human and AI teammates becomes crucial. Yet, the emergent literature has overlooked the impact of third parties on human‐AI teaming.
Türkü Erengin, Roman Briker, Simon B. de Jong   +2 more
wiley   +1 more source

Chatbot Personalities Matters

, 2019
In this study, we investigated the impact of a match in personality between a chatbot and the user. Previous research have proposed that personality can offer a stable pattern to how chatbots are perceived, and add consistency to the user experience. The assumptions regarding the effects of personality was investigated by measuring the effects of two ...
Smestad, Tuva Lunde, Volden, Frode
openaire   +3 more sources

How Can Teams Benefit From AI Team Members? Exploring the Effect of Generative AI on Decision‐Making Processes and Decision Quality in Team–AI Collaboration

Journal of Organizational Behavior, EarlyView.
ABSTRACT Human teams with distributed knowledge can make high‐quality decisions but often fail due to decision‐making asymmetries. As AI team members become integrated collaborators, understanding how AI can reduce these decision‐making asymmetries is essential. However, little is known about how AI team members can reduce these asymmetries and whether
Désirée Zercher, Ekaterina Jussupow, Ivo Benke, Armin Heinzl   +3 more
wiley   +1 more source

A chatbot to improve adherence to internet-based cognitive–behavioural therapy among workers with subthreshold depression: a randomised controlled trial

BMJ Mental Health
Background Internet-based cognitive–behavioural therapy (iCBT) is effective for subthreshold depression. However, iCBT has problems with adherence, especially when unaccompanied by human guidance.
Hisashi Noma, Masatsugu Sakata, Kenji Yamane, Taku Tanaka, Sakiko Yasukawa, Ritsuko Kano, Takuya Kishimoto   +6 more
doaj   +1 more source

A chatbot as a Question Answering Tool

, 2015

openalex   +1 more source

Of Chatbots and Colonizers

Journal of Undergraduate Neuroscience Education, 2023
openaire   +2 more sources

The Racial Formation of Chatbots

CLCWeb: Comparative Literature and Culture, 2014
In his article "The Racial Formation of Chatbots" Mark C. Marino introduces electronic literature known as chatbot or conversation agent. These programs are all around us from automated help centers to smartphones (e.g., Siri). These conversation agents are often represented as text or disembodied voices.
openaire   +5 more sources