Results 71 to 80 of about 4,507 (158)

Optimising user experience with: conversational Interfaces

, 2019
User Experience is one of the main aspects that maintain a customer loyal to cloud based solutions or SaaS (Software as a Service). With the rise of the natural language processing techniques, the industry is looking at automated chatbot solutions to boost and expand their services. This thesis presents a practical case study of the implementation of a
openaire   +1 more source

Democratizing cloud data lake analytics: natural language access to Apache Iceberg via LLM agents. [PDF]

Front Big Data
Kataria V, Kumar N.
europepmc   +1 more source

Eye-Tracked Visual Attention to Anthropomorphic Appearance and Empathic Responses in AI Medical Conversational Agents: Dissociating Trust Gains from Attentional Synergy. [PDF]

J Eye Mov Res
Ouyang W, Du H, Han Y, Wang Z, He Y.
europepmc   +1 more source

Clinical outcomes, patient satisfaction and operational efficiency of AI-powered chatbots in medicine and healthcare: protocol for an AI-aided scoping review. [PDF]

BMJ Open
Goossens E, Kemajou PM, Coorevits P, Probst S, Beeckman D.   +4 more
europepmc   +1 more source

Conversational AI and Personal Growth: Insights from a Critical Integrative Review. [PDF]

Behav Sci (Basel)
Sharma S, Vohra P, Vowels LM.
europepmc   +1 more source

Emotion-Adaptive Large Language Model-Driven Clinical Decision Support: User Evaluation of the Empathic Clinical Decision Support System Framework for Trust and Explainability. [PDF]

JMIR Hum Factors
Zhang T, Bae SW, Chung T, Dey AK.
europepmc   +1 more source

A Multi-AI Agent Framework for Interactive Neurosurgical Education and Evaluation: From Vignettes to Virtual Conversations. [PDF]

Neurosurg Pract
Sangwon KL, Zhang J, Steele R, Stryker J, Choi JJ, Lee JV, Alber DA, Valliani A, Kannapadi N, Ryoo J, Feng A, Khan HA, Neifert S, Orillac C, Weiss HK, Kim NC, Kurland D, Riina HA, Kondziolka D, Mankowski M, Oermann EK.   +20 more
europepmc   +1 more source

A Fine-Tuned Multimodal AI Chatbot for Dietary Health and Nutrition, Purrfessor: Development and Mixed Methods Evaluation. [PDF]

JMIR AI
Lu L, Deng Y, Tian C, Yang S, Shah DV.
europepmc   +1 more source

Adolescent Perceptions of an Online Safety Chatbot: Survey Study. [PDF]

JMIR Hum Factors
Charles M, Sauer JD, Roehrer E, Prichard J, Watters P, Scanlan J.   +5 more
europepmc   +1 more source

Safety Mechanisms and Risk Mitigation in Generative AI Mental Health Chatbots: A Systematic Scoping Review. [PDF]

Healthcare (Basel)
Olisaeloka L, Richardson CG, Wang AY, Munthali RJ, Vigo DV.   +4 more
europepmc   +1 more source