Buchumschlag

Multimodal Transformer Models for Turn-taking Prediction: Effects on Conversational Dynamics of Human-Agent Interaction during Cooperative Gameplay

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Bae, Young-Ho, Bennett, Casey C.
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Human-Computer Interaction Artificial Intelligence Computation and Language
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Beyond Turn-taking: Introducing Text-based Overlap into Human-LLM Interactions
von: Kim, JiWoo, et al.
Veröffentlicht: (2025)

Empathic Grounding: Explorations using Multimodal Interaction and Large Language Models with Conversational Agents
von: Arjmand, Mehdi, et al.
Veröffentlicht: (2024)

Modeling Distinct Human Interaction in Web Agents
von: Huq, Faria, et al.
Veröffentlicht: (2026)

Human Latency Conversational Turns for Spoken Avatar Systems
von: Jacoby, Derek, et al.
Veröffentlicht: (2024)

LLMs Get Lost In Multi-Turn Conversation
von: Laban, Philippe, et al.
Veröffentlicht: (2025)

Towards Human-like Multimodal Conversational Agent by Generating Engaging Speech
von: Kim, Taesoo, et al.
Veröffentlicht: (2025)

Real-time and Continuous Turn-taking Prediction Using Voice Activity Projection
von: Inoue, Koji, et al.
Veröffentlicht: (2024)

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay
von: Zhu, Andrew, et al.
Veröffentlicht: (2025)

Perfecting Human-AI Interaction at Clinical Scale. Turning Production Signals into Safer, More Human Conversations
von: Mukherjee, Subhabrata, et al.
Veröffentlicht: (2026)

Exploring Gender Biases in Language Patterns of Human-Conversational Agent Conversations
von: Liu, Weizi
Veröffentlicht: (2024)

EICAP: Deep Dive in Assessment and Enhancement of Large Language Models in Emotional Intelligence through Multi-Turn Conversations
von: Nazar, Nizi, et al.
Veröffentlicht: (2025)

Language Models in Dialogue: Conversational Maxims for Human-AI Interactions
von: Miehling, Erik, et al.
Veröffentlicht: (2024)

Gaze-Enhanced Multimodal Turn-Taking Prediction in Triadic Conversations
von: Heo, Seongsil, et al.
Veröffentlicht: (2025)

Turn-taking annotation for quantitative and qualitative analyses of conversation
von: Kelterer, Anneliese, et al.
Veröffentlicht: (2025)

Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation
von: Qian, Yushan, et al.
Veröffentlicht: (2023)

Beyond One-Way Influence: Bidirectional Opinion Dynamics in Multi-Turn Human-LLM Interactions
von: Jiang, Yuyang, et al.
Veröffentlicht: (2025)

Towards Human-centered Proactive Conversational Agents
von: Deng, Yang, et al.
Veröffentlicht: (2024)

Chart-to-Experience: Benchmarking Multimodal LLMs for Predicting Experiential Impact of Charts
von: Kim, Seon Gyeom, et al.
Veröffentlicht: (2025)

Personality Matters: User Traits Predict LLM Preferences in Multi-Turn Collaborative Tasks
von: Yunusov, Sarfaroz, et al.
Veröffentlicht: (2025)

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

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

Conversations Gone Awry, But Then? Evaluating Conversational Forecasting Models
von: Tran, Son Quoc, et al.
Veröffentlicht: (2025)

Conversations in Space: Structuring Non-Linear LLM Interactions on a Canvas
von: Amin, Rifat Mehreen, et al.
Veröffentlicht: (2026)

The Dynamics of Delusion: Modeling Bidirectional False Belief Amplification in Human-Chatbot Dialogue
von: Mehta, Ashish, et al.
Veröffentlicht: (2026)

Characterizing Similarities and Divergences in Conversational Tones in Humans and LLMs by Sampling with People
von: Huang, Dun-Ming, et al.
Veröffentlicht: (2024)

Animating Language Practice: Engagement with Stylized Conversational Agents in Japanese Learning
von: Rackauckas, Zackary, et al.
Veröffentlicht: (2025)

ReactGenie: A Development Framework for Complex Multimodal Interactions Using Large Language Models
von: Yang, Jackie Junrui, et al.
Veröffentlicht: (2023)

Large Language Model-based Human-Agent Collaboration for Complex Task Solving
von: Feng, Xueyang, et al.
Veröffentlicht: (2024)

EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria
von: Kim, Tae Soo, et al.
Veröffentlicht: (2023)

Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies
von: Cohen, Myke C., et al.
Veröffentlicht: (2026)

Toward Safe and Human-Aligned Game Conversational Recommendation via Multi-Agent Decomposition
von: Hui, Zheng, et al.
Veröffentlicht: (2025)

One Agent Too Many: User Perspectives on Approaches to Multi-agent Conversational AI
von: Clarke, Christopher, et al.
Veröffentlicht: (2024)

AgentA/B: Automated and Scalable Web A/BTesting with Interactive LLM Agents
von: Lu, Yuxuan, et al.
Veröffentlicht: (2025)

Human-AI Interaction and User Satisfaction: Empirical Evidence from Online Reviews of AI Products
von: Pasch, Stefan, et al.
Veröffentlicht: (2025)

MONAL: Model Autophagy Analysis for Modeling Human-AI Interactions
von: Yang, Shu, et al.
Veröffentlicht: (2024)

Alignment Drift in Multimodal LLMs: A Two-Phase, Longitudinal Evaluation of Harm Across Eight Model Releases
von: Ford, Casey, et al.
Veröffentlicht: (2026)

From Seeing it to Experiencing it: Interactive Evaluation of Intersectional Voice Bias in Human-AI Speech Interaction
von: Satish, Shree Harsha Bokkahalli, et al.
Veröffentlicht: (2026)

IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction
von: Lin, Inna Wanyin, et al.
Veröffentlicht: (2024)

OpenOmni: A Collaborative Open Source Tool for Building Future-Ready Multimodal Conversational Agents
von: Sun, Qiang, et al.
Veröffentlicht: (2024)

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