Imagen de Portada

Dynamic Personalization Through Continuous Feedback Loops in Interactive AI Systems

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	He, Liu
Formato:	Preprint
Publicado:	2026
Materias:	Human-Computer Interaction
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Audience in the Loop: Viewer Feedback-Driven Content Creation in Micro-drama Production on Social Media
por: Cao, Gengchen, et al.
Publicado: (2026)

Effects of Personality- and Opinion-Alignment in Human-AI Interaction
por: Eder, Maximilian, et al.
Publicado: (2025)

Conversate: Supporting Reflective Learning in Interview Practice Through Interactive Simulation and Dialogic Feedback
por: Daryanto, Taufiq, et al.
Publicado: (2024)

Echoes in the Loop: Diagnosing Risks in LLM-Powered Recommender Systems under Feedback Loops
por: Park, Donguk, et al.
Publicado: (2026)

Continual Human-in-the-Loop Optimization
por: Liao, Yi-Chi, et al.
Publicado: (2025)

Bridging Learnersourcing and AI: Exploring the Dynamics of Student-AI Collaborative Feedback Generation
por: Singh, Anjali, et al.
Publicado: (2023)

When Benchmarks Talk: Re-Evaluating Code LLMs with Interactive Feedback
por: Pan, Jane, et al.
Publicado: (2025)

Beyond the Interface: Redefining UX for Society-in-the-Loop AI Systems
por: Mafi, Nahal, et al.
Publicado: (2026)

Designing AI Personalities: Enhancing Human-Agent Interaction Through Thoughtful Persona Design
por: Zargham, Nima, et al.
Publicado: (2024)

SPHERE: Scaling Personalized Feedback in Programming Classrooms with Structured Review of LLM Outputs
por: Tang, Xiaohang, et al.
Publicado: (2024)

Evolving Agents: Interactive Simulation of Dynamic and Diverse Human Personalities
por: Li, Jiale, et al.
Publicado: (2024)

From Fixed to Flexible: Shaping AI Personality in Context-Sensitive Interaction
por: Jayasiriwardene, Shakyani, et al.
Publicado: (2026)

A Longitudinal Study on Different Annotator Feedback Loops in Complex RAG Tasks
por: Rosenthal, Sara, et al.
Publicado: (2025)

Seeing to Think? How Source Transparency Design Shapes Interactive Information Seeking and Evaluation in Conversational AI
por: He, Jiangen, et al.
Publicado: (2026)

An AI-Based Structured Semantic Control Model for Stable and Coherent Dynamic Interactive Content Generation
por: Liu, Rui
Publicado: (2026)

Learning to Live with AI: How Students Develop AI Literacy Through Naturalistic ChatGPT Interaction
por: Ammari, Tawfiq, et al.
Publicado: (2026)

A Closed-Loop CPR Training Glove with Integrated Tactile Sensing and Haptic Feedback
por: Moon, Jaeyoung, et al.
Publicado: (2026)

From Text to Map: A System Dynamics Bot for Constructing Causal Loop Diagrams
por: Hosseinichimeh, Niyousha, et al.
Publicado: (2024)

REVA: Supporting LLM-Generated Programming Feedback Validation at Scale Through User Attention-based Adaptation
por: Tang, Xiaohang, et al.
Publicado: (2025)

Interacting with Thoughtful AI
por: Liu, Xingyu Bruce, et al.
Publicado: (2025)

Feed-O-Meter: Investigating AI-Generated Mentee Personas as Interactive Agents for Scaffolding Design Feedback Practice
por: Lim, Hyunseung, et al.
Publicado: (2025)

Intelligence Preschool Education System based on Multimodal Interaction Systems and AI
por: Xu, Long
Publicado: (2024)

Learning Spatial Awareness for Laparoscopic Surgery with AI Assisted Visual Feedback
por: Liu, Songyang, et al.
Publicado: (2025)

Comparative Analysis of Human vs. AI-powered Support in VRChat Communities on Discord: User Engagement, Response Dynamics and Interaction Patterns
por: Zhang, He, et al.
Publicado: (2026)

A Two-Phase Visualization System for Continuous Human-AI Collaboration in Sequelae Analysis and Modeling
por: Ouyang, Yang, et al.
Publicado: (2024)

Sakshm AI: Advancing AI-Assisted Coding Education for Engineering Students in India Through Socratic Tutoring and Comprehensive Feedback
por: Gupta, Raj, et al.
Publicado: (2025)

AI Trust Reshaping Administrative Burdens: Understanding Trust-Burden Dynamics in LLM-Assisted Benefits Systems
por: Jo, Jeongwon, et al.
Publicado: (2025)

Design Exploration of AI-assisted Personal Affective Physicalization
por: Wu, Ruishan, et al.
Publicado: (2025)

Enhancing Interaction with Augmented Reality through Mid-Air Haptic Feedback: Architecture Design and User Feedback
por: Vaquero-Melchor, Diego, et al.
Publicado: (2025)

Emotionally Enriched Feedback via Generative AI
por: Alsaiari, Omar, et al.
Publicado: (2024)

Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions
por: Bhattacharya, Aditya
Publicado: (2023)

Toward Neurodivergent-Aware Productivity: A Systems and AI-Based Human-in-the-Loop Framework for ADHD-Affected Professionals
por: Deshmukh, Raghavendra
Publicado: (2025)

Evolving AI for Wellness: Dynamic and Personalized Real-time Loneliness Detection Using Passive Sensing
por: Qirtas, Malik Muhammad, et al.
Publicado: (2024)

Same Feedback, Different Source: How AI vs. Human Feedback Shapes Learner Engagement
por: Morris, Caitlin, et al.
Publicado: (2026)

MEDebiaser: A Human-AI Feedback System for Mitigating Bias in Multi-label Medical Image Classification
por: Shi, Shaohan, et al.
Publicado: (2025)

Interaction Design for Human-AI Choreography Co-creation
por: Liu, Yimeng
Publicado: (2024)

DraftMarks: Enhancing Transparency in Human-AI Co-Writing Through Interactive Skeuomorphic Process Traces
por: Siddiqui, Momin N., et al.
Publicado: (2025)

"My Grade is Wrong!": A Contestable AI Framework for Interactive Feedback in Evaluating Student Essays
por: Hong, Shengxin, et al.
Publicado: (2024)

Quantifying Personality in Human-Drone Interactions for Building Heat Loss Inspection with Virtual Reality Training
por: Liu, Pengkun, et al.
Publicado: (2025)

PII Shield: A Browser-Level Overlay for User-Controlled Personal Identifiable Information (PII) Management in AI Interactions
por: Holschneider, Max, et al.
Publicado: (2026)