generative ai

Evaluating Multimodal Emotion Recognition in Proactive Conversational Agents: A User Study

ABSTRACT This article presents a multimodal emotion recognition module integrated into a proactive Socially Interactive Agent (SIA) powered by generative artificial intelligence. The system evaluates real‐time affective states through two distinct channels: a computer vision‐based facial recognition module and a semant...

Generative AI Responses to Patient-Presented Orthodontic Misinformation and Controversial Claims: A Comparative Cross-Sectional Evaluation of Safety, Accuracy, Evidence Concordance, Misinformation Correction, Uncertainty Communication, Transparency, and Actionability

AI-Integrated Project Management System: A Multi-Tenant Platform for Intelligent Project Monitoring and Task Coordination

The implemented AI-Integrated Project Management System demonstrates an application-oriented approach to combining conventional project management functionality with generative AI capabilities.

LBP: A Generative AI Framework for Lightweight Multimodal Beam Prediction in 6G Edge Networks

Beam prediction under integrated sensing and communication is a fundamental building block for next-generation communication networks. However, achieving reliable beam prediction in practical systems remains challenging due to the conflicting requirements of high accuracy, ultra-low latency, and strict model complexity...

RoVi: Robust Vital Sign Reconstruction With Generative AI Under Irregular Body Motions

Wireless vital sign sensing extracts respiratory features from signal phase variations induced by chest movements. However, motions of other body parts produce superimposed signals, resulting in indistinguishable anomalous segments that obscure respiratory extraction. Existing approaches primarily rely on regular motio...

GACER-M: Granularity-Aware and Memory-Centric Coordination for Multi-Tenant Deep Learning

Multi-tenant computing, which executes multiple neural networks on a single GPU, is essential for maximizing hardware utilization in both cloud and edge environments. However, effective co-location faces a fundamental trade-off between utilization and safety. On one hand, the diverse computing patterns of concurrent mo...

LLM4NL2BQS: using generative AI to transform natural language in BQS

Real-world use and evaluation of a generative AI chatbot for Parkinson's disease information: a prospective observational study

Summary Background Patient-facing medical AI chatbots are entering clinical use faster than evidence can characterise their real-world safety. We evaluated one deployed system and introduce CARE-LLM, a proposed framework for conversation-level post-market surveillance. Methods We conducted a prospective, observational,...

Research on the double-edged sword impact of AI performance feedback on employee creativity

A dual-mediation mechanism in which AI performance feedback influenced employee creativity through both critical reflection and cognitive inertia was revealed: high-CSE individuals exhibited stronger positive effects through enhanced critical reflection, while low-CSE individuals demonstrated more pronounced negative e...

LLM-empowered remanufacturing: A novel human-AI interaction under the lens of a scoping review

Gen AI systems text-based, vision-based, and multimodal, deployed both locally and in cloud-based environments, were found to be utilized in remanufacturing processes, with the majority of studies focusing on LLM models developed by OpenAI.

When AI Answers Too Soon: The Displacement of Reflective Inquiry in Design

The paper situates this account within cognitive ergonomics through Rasmussen’s Skills-Rules-Knowledge taxonomy and Hollnagel’s efficiency-thoroughness trade-off, and proposes design principles for tools that keep the productive phases of inquiry intact.

From Psychological Need Satisfaction to AI Dependency: The Divergent Roles of Basic and AI-Specific Needs

Examination of the satisfaction of psychological needs relates to AI dependency suggests that generative AI may function not only as a compensatory resource for unmet needs, but also as a primary context for need satisfaction, thereby reinforcing dependency-related patterns of use.