Buchumschlag

Empathic Grounding: Explorations using Multimodal Interaction and Large Language Models with Conversational Agents

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Arjmand, Mehdi, Nouraei, Farnaz, Steenstra, Ian, Bickmore, Timothy
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Human-Computer Interaction Computation and Language Robotics
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Virtual Agents for Alcohol Use Counseling: Exploring LLM-Powered Motivational Interviewing
von: Steenstra, Ian, et al.
Veröffentlicht: (2024)

Scaffolding Empathy: Training Counselors with Simulated Patients and Utterance-level Performance Visualizations
von: Steenstra, Ian, et al.
Veröffentlicht: (2025)

A Risk Ontology for Evaluating AI-Powered Psychotherapy Virtual Agents
von: Steenstra, Ian, et al.
Veröffentlicht: (2025)

Relational Appliances: A Robot in the Refrigerator for Home-Based Health Promotion
von: Bickmore, Timothy, et al.
Veröffentlicht: (2026)

HealthDial: A No-Code LLM-Assisted Dialogue Authoring Tool for Healthcare Virtual Agents
von: Nouraei, Farnaz, et al.
Veröffentlicht: (2025)

Investigating User Perceptions of Collaborative Agenda Setting in Virtual Health Counseling Session
von: Fallah, Mina, et al.
Veröffentlicht: (2024)

Assessing Risks of Large Language Models in Mental Health Support: A Framework for Automated Clinical AI Red Teaming
von: Steenstra, Ian, et al.
Veröffentlicht: (2026)

Designing for Adolescent Voice in Health Decisions: Embodied Conversational Agents for HPV Vaccination
von: Steenstra, Ian, et al.
Veröffentlicht: (2026)

Keeping Users Engaged During Repeated Administration of the Same Questionnaire: Using Large Language Models to Reliably Diversify Questions
von: Yun, Hye Sun, et al.
Veröffentlicht: (2023)

Virtual Agent-Based Communication Skills Training to Facilitate Health Persuasion Among Peers
von: Nouraei, Farnaz, et al.
Veröffentlicht: (2024)

Towards Multimodal Social Conversations with Robots: Using Vision-Language Models
von: Janssens, Ruben, et al.
Veröffentlicht: (2025)

Agreeing to Interact in Human-Robot Interaction using Large Language Models and Vision Language Models
von: Sasabuchi, Kazuhiro, et al.
Veröffentlicht: (2025)

When Large Language Models are Reliable for Judging Empathic Communication
von: Kumar, Aakriti, et al.
Veröffentlicht: (2025)

Reframing Human-Robot Interaction Through Extended Reality: Unlocking Safer, Smarter, and More Empathic Interactions with Virtual Robots and Foundation Models
von: Zhang, Yuchong, et al.
Veröffentlicht: (2025)

Does the Appearance of Autonomous Conversational Robots Affect User Spoken Behaviors in Real-World Conference Interactions?
von: Pang, Zi Haur, et al.
Veröffentlicht: (2025)

Large Language Models as Zero-Shot Human Models for Human-Robot Interaction
von: Zhang, Bowen, et al.
Veröffentlicht: (2023)

Empathic Prompting: Non-Verbal Context Integration for Multimodal LLM Conversations
von: Stacchio, Lorenzo, et al.
Veröffentlicht: (2025)

Practicing with Language Models Cultivates Human Empathic Communication
von: Kumar, Aakriti, et al.
Veröffentlicht: (2026)

When Robots Say No: The Empathic Ethical Disobedience Benchmark
von: Kuzmenko, Dmytro, et al.
Veröffentlicht: (2025)

Interactive Task Planning with Language Models
von: Li, Boyi, et al.
Veröffentlicht: (2023)

Spoken Language Interaction with Robots: Research Issues and Recommendations, Report from the NSF Future Directions Workshop
von: Marge, Matthew, et al.
Veröffentlicht: (2020)

Towards Equitable Robotic Furnishing Agents for Aging-in-Place: ADL-Grounded Design Exploration
von: Lee, Hansoo, et al.
Veröffentlicht: (2026)

Robotic Backchanneling in Online Conversation Facilitation: A Cross-Generational Study
von: Kobuki, Sota, et al.
Veröffentlicht: (2024)

WinClick: GUI Grounding with Multimodal Large Language Models
von: Hui, Zheng, et al.
Veröffentlicht: (2025)

E-THER: A Multimodal Dataset for Empathic AI -- Towards Emotional Mismatch Awareness
von: Tahir, Sharjeel, et al.
Veröffentlicht: (2025)

Child Speech Recognition in Human-Robot Interaction: Problem Solved?
von: Janssens, Ruben, et al.
Veröffentlicht: (2024)

A Framework for Adapting Human-Robot Interaction to Diverse User Groups
von: Rosin, Theresa Pekarek, et al.
Veröffentlicht: (2024)

Think, Act, and Ask: Open-World Interactive Personalized Robot Navigation
von: Dai, Yinpei, et al.
Veröffentlicht: (2023)

The Conversation is the Command: Interacting with Real-World Autonomous Robot Through Natural Language
von: Nwankwo, Linus, et al.
Veröffentlicht: (2024)

Understanding Large-Language Model (LLM)-powered Human-Robot Interaction
von: Kim, Callie Y., et al.
Veröffentlicht: (2024)

How Can Large Language Models Enable Better Socially Assistive Human-Robot Interaction: A Brief Survey
von: Shi, Zhonghao, et al.
Veröffentlicht: (2024)

LaMI: Large Language Models for Multi-Modal Human-Robot Interaction
von: Wang, Chao, et al.
Veröffentlicht: (2024)

Robot Tasks with Fuzzy Time Requirements from Natural Language Instructions
von: Sucker, Sascha, et al.
Veröffentlicht: (2024)

Multimodal Programming in Computer Science with Interactive Assistance Powered by Large Language Model
von: Gupta, Rajan Das, et al.
Veröffentlicht: (2025)

Gaze-supported Large Language Model Framework for Bi-directional Human-Robot Interaction
von: Rüppel, Jens V., et al.
Veröffentlicht: (2025)

LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments, and Future Trends
von: Cui, Can, et al.
Veröffentlicht: (2024)

Reasoning LLMs for User-Aware Multimodal Conversational Agents
von: Rahimi, Hamed, et al.
Veröffentlicht: (2025)

Model of Spatial Human-Agent Interaction with Consideration for Others
von: Sakamoto, Takafumi, et al.
Veröffentlicht: (2026)

The Design of Informative Take-Over Requests for Semi-Autonomous Cyber-Physical Systems: Combining Spoken Language and Visual Icons in a Drone-Controller Setting
von: Gundappa, Ashwini, et al.
Veröffentlicht: (2024)

IROSA: Interactive Robot Skill Adaptation using Natural Language
von: Knauer, Markus, et al.
Veröffentlicht: (2026)