Copertina

Improving Dialogue Agents by Decomposing One Global Explicit Annotation with Local Implicit Multimodal Feedback

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lee, Dong Won, Park, Hae Won, Kim, Yoon, Breazeal, Cynthia, Morency, Louis-Philippe
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence Human-Computer Interaction Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Aligning Dialogue Agents with Global Feedback via Large Language Model Multimodal Reward Decomposition
di: Lee, Dong Won, et al.
Pubblicazione: (2025)

Social Human Robot Embodied Conversation (SHREC) Dataset: Benchmarking Foundational Models' Social Reasoning
di: Lee, Dong Won, et al.
Pubblicazione: (2025)

Integrating Flow Theory and Adaptive Robot Roles: A Conceptual Model of Dynamic Robot Role Adaptation for the Enhanced Flow Experience in Long-term Multi-person Human-Robot Interactions
di: Chen, Huili, et al.
Pubblicazione: (2024)

Social Robots as Social Proxies for Fostering Connection and Empathy Towards Humanity
di: Shen, Jocelyn, et al.
Pubblicazione: (2025)

Ensembling Large Language Models to Characterize Affective Dynamics in Student-AI Tutor Dialogues
di: Zhang, Chenyu, et al.
Pubblicazione: (2025)

Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions
di: Mathur, Leena, et al.
Pubblicazione: (2024)

Beyond Explicit and Implicit: How Users Provide Feedback to Shape Personalized Recommendation Content
di: Li, Wenqi, et al.
Pubblicazione: (2025)

Learning from Implicit User Feedback, Emotions and Demographic Information in Task-Oriented and Document-Grounded Dialogues
di: Petrak, Dominic, et al.
Pubblicazione: (2024)

Revolutionizing Mental Health Support: An Innovative Affective Mobile Framework for Dynamic, Proactive, and Context-Adaptive Conversational Agents
di: Islam, Rahul, et al.
Pubblicazione: (2024)

Problem Space Attunement in Youth Social Media Design
di: Kim, JaeWon
Pubblicazione: (2026)

A HeARTfelt Robot: Social Robot-Driven Deep Emotional Art Reflection with Children
di: Pu, Isabella, et al.
Pubblicazione: (2024)

Does the TalkMoves Codebook Generalize to One-on-One Tutoring and Multimodal Interaction?
di: Focsan, Corina Luca, et al.
Pubblicazione: (2026)

IP-Dialog: Evaluating Implicit Personalization in Dialogue Systems with Synthetic Data
di: Peng, Bo, et al.
Pubblicazione: (2025)

Work-in-Progress: An empirical study to understand how students use ChatGPT for writing essays and how it affects their ownership
di: Jelson, Andrew, et al.
Pubblicazione: (2024)

PupilSense: Detection of Depressive Episodes Through Pupillary Response in the Wild
di: Islam, Rahul, et al.
Pubblicazione: (2024)

FacePsy: An Open-Source Affective Mobile Sensing System -- Analyzing Facial Behavior and Head Gesture for Depression Detection in Naturalistic Settings
di: Islam, Rahul, et al.
Pubblicazione: (2024)

PITCH: Productivity and Mental Well-being Coaching through Daily Conversational Interaction
di: Abbas, Adnan, et al.
Pubblicazione: (2024)

Metaphors as Scaffolds: Spatial, Embodied, Fantastical, and Relational Framings for Youth Usable Privacy Design
di: Kim, JaeWon, et al.
Pubblicazione: (2026)

A Modern System Recipe for Situated Embodied Human-Robot Conversation with Real-Time Multimodal LLMs and Tool-Calling
di: Lee, Dong Won, et al.
Pubblicazione: (2026)

"How can we learn and use AI at the same time?": Participatory Design of GenAI with High School Students
di: Pu, Isabella, et al.
Pubblicazione: (2025)

Exploring Implicit Perspectives on Autism in Large Language Models Through Multi-Agent Simulations
di: Park, Sohyeon, et al.
Pubblicazione: (2026)

Enhancing Generative AI Image Refinement with Scribbles and Annotations: A Comparative Study of Multimodal Prompts
di: Park, Hyerim, et al.
Pubblicazione: (2026)

PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits
di: Jiang, Hang, et al.
Pubblicazione: (2023)

Does "Reasoning" with Large Language Models Improve Recognizing, Generating, and Reframing Unhelpful Thoughts?
di: Qi, Yilin, et al.
Pubblicazione: (2025)

Rapport-Driven Virtual Agent: Rapport Building Dialogue Strategy for Improving User Experience at First Meeting
di: Baihaqi, Muhammad Yeza, et al.
Pubblicazione: (2024)

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

Collaborative Human-AI Risk Annotation: Co-Annotating Online Incivility with CHAIRA
di: Park, Jinkyung Katie, et al.
Pubblicazione: (2024)

Feedback by Design: Understanding and Overcoming User Feedback Barriers in Conversational Agents
di: Sharma, Nikhil, et al.
Pubblicazione: (2026)

Predicting Volleyball Season Performance Using Pre-Season Wearable Data and Machine Learning
di: Ozolcer, Melik, et al.
Pubblicazione: (2025)

MoodCam: Mood Prediction Through Smartphone-Based Facial Affect Analysis in Real-World Settings
di: Islam, Rahul, et al.
Pubblicazione: (2024)

Decoding Student Dialogue: A Multi-Dimensional Comparison and Bias Analysis of Large Language Models as Annotation Tools
di: Cao, Jie, et al.
Pubblicazione: (2026)

Dynamite: Real-Time Debriefing Slide Authoring through AI-Enhanced Multimodal Interaction
di: Keelawat, Panayu, et al.
Pubblicazione: (2025)

An LLM-Assisted Toolkit for Inspectable Multimodal Emotion Data Annotation
di: Kuang, Zheyuan, et al.
Pubblicazione: (2026)

TaleMate: Exploring the use of Voice Agents for Parent-Child Joint Reading Experiences
di: Vargas-Diaz, Daniel, et al.
Pubblicazione: (2024)

"Having Lunch Now": Understanding How Users Engage with a Proactive Agent for Daily Planning and Self-Reflection
di: Abbas, Adnan, et al.
Pubblicazione: (2025)

Dialogue Agents that Share Family Information to Strengthen Grandparent-Grandchild Relationships
di: Mitsuno, Seiya, et al.
Pubblicazione: (2026)

Beyond Semantic Similarity: Open Challenges for Embedding-Based Creative Process Analysis Across AI Design Tools
di: Lee, Seung Won, et al.
Pubblicazione: (2026)

Automated Assessment and Adaptive Multimodal Formative Feedback Improves Psychomotor Skills Training Outcomes in Quadrotor Teleoperation
di: Jensen, Emily, et al.
Pubblicazione: (2024)

Let's Go Real Talk: Spoken Dialogue Model for Face-to-Face Conversation
di: Park, Se Jin, et al.
Pubblicazione: (2024)

Toward Needs-Conscious Design: Co-Designing a Human-Centered Framework for AI-Mediated Communication
di: Wolfe, Robert, et al.
Pubblicazione: (2025)