Results 121 to 130 of about 116,632 (367)

Do Big Data Applications and Financial Innovation Lead to Enhanced Banking Performance? Evidence From the United Kingdom

International Journal of Finance &Economics, EarlyView.
ABSTRACT Big data and financial innovations are vital to enhancing the performance of banking institutions. However, limited evidence exists on the effects of big data applications and financial innovation on bank performance. This study addresses this gap by constructing a theoretical framework linking big data applications and financial innovations ...
Mandella Osei‐Assibey Bonsu, Yongsheng Guo   +1 more
wiley   +1 more source

Features requirement elicitation process for designing a chatbot application

IET Networks, EarlyView., 2022
This article seeks to assist the chatbot community by outlining the characteristics that a chatbot needs to possess and explaining how to create a chatbot for a bank. In order to determine which capabilities are most crucial to ending users, a study of a small sample of chatbot users was conducted.
Nurul Muizzah Johari, Puteri N. E. Nohuddin, Ahmad Hanif Ahmad Baharin, Noor Azuddin Yakob, Mohammad Javad Ebadi   +4 more
wiley   +1 more source

DigiBete, a Novel Chatbot to Support Transition to Adult Care of Young People/Young Adults With Type 1 Diabetes Mellitus: Outcomes From a Prospective, Multimethod, Nonrandomized Feasibility and Acceptability Study

JMIR Diabetes
BackgroundTransition to adult health care for young people and young adults (YP/YA) with type 1 diabetes mellitus (T1DM) starts around 11 years of age, but transition services may not meet their needs.
Veronica Swallow, Janet Horsman, Eliza Mazlan, Fiona Campbell, Reza Zaidi, Madeleine Julian, Jacob Branchflower, Jackie Martin-Kerry, Helen Monks, Astha Soni, Alison Rodriguez, Rob Julian, Paul Dimitri   +12 more
doaj   +1 more source

Artificial intelligence in obstetrics and gynecology: Evaluating ChatGPT and Google Gemini in answering patient questions

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Introduction To evaluate the accuracy and completeness of responses across common obstetrical and gynecologic topics generated by the large language models (LLMs) ChatGPT and Google Gemini, which have become increasingly popular for patients seeking medical information before physician consultations.
Madeline West, Amir Alsaidi, Rohail Siddiqi, Fatima Sayyed, Rachael Counts, Lauren Quinto, Nicholas Stansbury   +6 more
wiley   +1 more source

A Pilot Study on the Accuracy of Large Language Models (ChatGPT, Google Bard, and Microsoft Copilot) for Selecting the Correct Modality for Musculoskeletal Clinical Cases According to the ACR's Appropriateness Criteria

iRADIOLOGY, EarlyView.
In this paper we demonstrate that AI models can determine the most appropriate imagining modality for a given musculoskeletal clinical scenario in up to 89% of cases, with some models outperforming others. ABSTRACT Background Large language models (LLMs) are becoming more commonly used in many aspects of radiology.
Thomas Saliba, Patrick Omoumi, Grammatina Boitsios   +2 more
wiley   +1 more source

Chatbot apologies: beyond bullshit

AI and Ethics
Apologies serve important moral and social functions such as expressingremorse, taking responsibility, and repairing trusting relationships. LLM-based chatbotsroutinely produce output which has the linguistic form of an apology. However, chatbots arenot the kind of linguistic or moral agents that could perform any of the functions listed above.
Alessandra Buccella, Jason D'Cruz, P. D. Magnus   +2 more
openaire   +2 more sources

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   +2 more sources

Application of the Chatbot in University Education: A Bibliometric Analysis of Indexed Scientific Production in SCOPUS, 2013-2023 [PDF]

, 2023
Omar Chamorro-Atalaya, Soledad Olivares-Zegarra, Lisle Sobrino-Chunga, Virginia Rosemary Guerrero Carranza, Ademar Vargas-Díaz, Madison Huarcaya-Godoy, José Rasilla-Rovegno, Raul Suarez-Bazalar, Jorge Luis Poma García, Yreneo Cruz-Telada   +9 more
openalex   +1 more source

A Qualitative Exploration of Post‐Injury Challenges and the Potential Role of the PTSD Coach Mobile Application to Improve Recovery Among Acutely Injured Patients

Journal of Clinical Psychology, EarlyView.
ABSTRACT Objective Digital interventions designed to prevent development of chronic pain and comorbid mental health symptoms, specifically targeting the acute injury recovery period, are in the early stages of development. The evidence‐based PTSD Coach mobile application is a free resource offering cognitive‐behavioral interventions to self‐manage ...
Maria L. Pacella‐LaBarbara, Megan Hamm, Neil Kenkre, Enzo G. Plaitano, Natalee Gallo, Harry Morford, Eric Kuhn, Brian P. Suffoletto   +7 more
wiley   +1 more source

Analysis of Reliability and Efficiency of Information Extraction Using AI-Based Chatbot: The More-for-Less Paradox

Algorithms
This paper addresses the problem of information extraction using an AI-powered chatbot. The problem concerns searching and extracting relevant information from large databases in response to a human user’s query. Expanding the traditional discrete search
Eugene Levner, Boris Kriheli
doaj   +1 more source