generative ai

Investigating Consumer Trust Toward AI-Generated Marketing Content and Its Impact on Consumer Behavior: A Systematic Literature Review

Abstract—The growing usage of AI-generated content in marketing highlights the need of understanding consumer trust and its impact on purchase intention and decision. This study examines how consumers develop trust in AI-generated marketing content and how it influences their behavior. A Systematic Literature Review (S...

Measuring Logic and Linguistics: A Cross-Domain Metrology of Logic on the Structure–Symbol Sample Space

This paper proposes and argues a program: treat logic as a measurable physical object, and linguistics as its operational framework. On the structure–symbol sample space (p,τ,P(τ∣p))(p,τ,P(τ∣p)), the three orthogonal dimensions of logic — determinism H (the strength of the structure's constraint on the symbol), directi...

Measuring Logic and Linguistics: A Cross-Domain Metrology of Logic on the Structure–Symbol Sample Space

This paper proposes and argues a program: treat logic as a measurable physical object, and linguistics as its operational framework. On the structure–symbol sample space (p,τ,P(τ∣p))(p,τ,P(τ∣p)), the three orthogonal dimensions of logic — determinism H (the strength of the structure's constraint on the symbol), directi...

GenAI for Research Support: A Case to DMPs Pre-Filling

A GenAI tool was developed that used a Large Language Model capable of answering typical questions for a DMP after receiving the original research proposal as input, and showed a very good capability in providing appropriate responses to most of the DMP questions.

Bridging the Support Gap with Generative AI Enabled Learner Profiles for Adolescents with Autism

Current autism profiling frameworks are grounded in the medical model, persistently failing to translate diagnosis into effective classroom support. While the neurodiversity movement advocates for learner-led, integrated profiling, existing approaches remain clinician-driven and adult-authored. This paper reports Phase...

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