Cover Image

AURA: A Reinforcement Learning Framework for AI-Driven Adaptive Conversational Surveys

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tang, Jinwen, Shang, Yi
Format:	Preprint
Published:	2025
Subjects:	Human-Computer Interaction Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generative AI-Driven Human Digital Twin in IoT-Healthcare: A Comprehensive Survey
by: Chen, Jiayuan, et al.
Published: (2024)

New AI-Driven Tools for Enhancing Campus Well-being: A Prevention and Intervention Approach
by: Tang, Jinwen
Published: (2026)

ProPACT: A Proactive AI-Driven Adaptive Collaborative Tutor for Pair Programming
by: Golrang, Anahita, et al.
Published: (2026)

Bringing Generative AI to Adaptive Learning in Education
by: Li, Hang, et al.
Published: (2024)

Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation
by: Pan, Michelle, et al.
Published: (2024)

Reinforcement Learning Driven Generalizable Feature Representation for Cross-User Activity Recognition
by: Ye, Xiaozhou, et al.
Published: (2025)

Transparent Adaptive Learning via Data-Centric Multimodal Explainable AI
by: Mosleh, Maryam, et al.
Published: (2025)

TigerGPT: A New AI Chatbot for Adaptive Campus Climate Surveys
by: Tang, Jinwen, et al.
Published: (2025)

Agent AI: Surveying the Horizons of Multimodal Interaction
by: Durante, Zane, et al.
Published: (2024)

Efficient Human-in-the-Loop Active Learning: A Novel Framework for Data Labeling in AI Systems
by: Huang, Yiran, et al.
Published: (2024)

SouLLMate: An Application Enhancing Diverse Mental Health Support with Adaptive LLMs, Prompt Engineering, and RAG Techniques
by: Guo, Qiming, et al.
Published: (2024)

A Survey on Bridging EEG Signals and Generative AI: From Image and Text to Beyond
by: Shukla, Shreya, et al.
Published: (2025)

Reinforcement Learning-Enhanced Procedural Generation for Dynamic Narrative-Driven AR Experiences
by: Joshi, Aniruddha Srinivas
Published: (2025)

The Model Mastery Lifecycle: A Framework for Designing Human-AI Interaction
by: Chignell, Mark, et al.
Published: (2024)

TutoAI: A Cross-domain Framework for AI-assisted Mixed-media Tutorial Creation on Physical Tasks
by: Chen, Yuexi, et al.
Published: (2024)

Towards Automated Error Discovery: A Study in Conversational AI
by: Petrak, Dominic, et al.
Published: (2025)

Towards Interactive Reinforcement Learning with Intrinsic Feedback
by: Poole, Benjamin, et al.
Published: (2021)

Abstracted Trajectory Visualization for Explainability in Reinforcement Learning
by: Takagi, Yoshiki, et al.
Published: (2024)

Towards Human-Centered Construction Robotics: A Reinforcement Learning-Driven Companion Robot for Contextually Assisting Carpentry Workers
by: Wu, Yuning, et al.
Published: (2024)

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework
by: Ayan, Md Muntasir Jahid, et al.
Published: (2026)

RPKT: Learning What You Don't -- Know Recursive Prerequisite Knowledge Tracing in Conversational AI Tutors for Personalized Learning
by: Tang, Jinwen, et al.
Published: (2025)

MetaExplainer: A Framework to Generate Multi-Type User-Centered Explanations for AI Systems
by: Chari, Shruthi, et al.
Published: (2025)

Improving Health Professionals' Onboarding with AI and XAI for Trustworthy Human-AI Collaborative Decision Making
by: Lee, Min Hun, et al.
Published: (2024)

Align When They Want, Complement When They Need! Human-Centered Ensembles for Adaptive Human-AI Collaboration
by: Amin, Hasan, et al.
Published: (2026)

ConvoLearn: A Learning Sciences Grounded Dataset for Fine-Tuning Dialogic AI Tutors
by: Sharma, Mayank, et al.
Published: (2026)

ANSR-DT: An Adaptive Neuro-Symbolic Learning and Reasoning Framework for Digital Twins
by: Hakim, Safayat Bin, et al.
Published: (2025)

Integrating Policy Summaries with Reward Decomposition for Explaining Reinforcement Learning Agents
by: Septon, Yael, et al.
Published: (2022)

Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving
by: Huang, Zilin, et al.
Published: (2024)

Learning to Pay Attention: Unsupervised Modeling of Attentive and Inattentive Respondents in Survey Data
by: Triantafyllopoulos, Ilias, et al.
Published: (2026)

A Multi-Component AI Framework for Computational Psychology: From Robust Predictive Modeling to Deployed Generative Dialogue
by: Pareek, Anant
Published: (2025)

Culturally-Attuned Moral Machines: Implicit Learning of Human Value Systems by AI through Inverse Reinforcement Learning
by: Oliveira, Nigini, et al.
Published: (2023)

MENTOR: Guiding Hierarchical Reinforcement Learning with Human Feedback and Dynamic Distance Constraint
by: Zhou, Xinglin, et al.
Published: (2024)

Learning to Decide with AI Assistance under Human-Alignment
by: Benz, Nina Corvelo, et al.
Published: (2026)

Designing Interpretable ML System to Enhance Trust in Healthcare: A Systematic Review to Proposed Responsible Clinician-AI-Collaboration Framework
by: Nasarian, Elham, et al.
Published: (2023)

Self-Initiated Open World Learning for Autonomous AI Agents
by: Liu, Bing, et al.
Published: (2021)

A Pain Assessment Framework based on multimodal data and Deep Machine Learning methods
by: Gkikas, Stefanos
Published: (2025)

AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems
by: Punzi, Clara, et al.
Published: (2024)

Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback
by: Yuan, Yifu, et al.
Published: (2024)

Explaining AI Without Code: A User Study on Explainable AI
by: Abarca, Natalia, et al.
Published: (2025)

Personas Evolved: Designing Ethical LLM-Based Conversational Agent Personalities
by: Desai, Smit, et al.
Published: (2025)