Toward Interaction Dynamics

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10 papers in the last 28 days · 0.2% of indexed attention

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Period ending 2026-09-21

5 new papers

A weekly snapshot of new work published in Toward Interaction Dynamics.

Period ending 2026-09-14

2 new papers

A weekly snapshot of new work published in Toward Interaction Dynamics.

38 papers

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Towards Interaction Regulation from Human Feedback via Free Energy Minimization
Sep 16, 2026Maria Paula Diaz Monfort, Cinzia Tomaselli, Michael Richardson +1Human-Robot Interaction Control System Operator Learning
PRISM: Predictive Representation of Interaction Style and Motion for Social Robot Navigation
Sep 16, 2026Bo-Han Chen, Hiromu Taketsugu, Norimichi UkitaSocial Robot Navigation Human-Robot Interaction
Scaling Articulated Rationales for MLLM-based Recommendation
Sep 15, 2026Haoke Xiao, Yueyang Liu, Yuhui Zhang +17Recommendation Multimodal Recommendation
DuctAM: A Duct-Assisted Quadrotor-Based Aerial Manipulator Enabling High-Force Push-and-Pull Interactions
Sep 14, 2026Yi Wang, Rui Jin, Xinhang Xu +4Aerial Manipulation Flight Performance
DIDO: Distilling Interaction-Centric Dynamics into One-Step Denoising for World Action Models
Sep 14, 2026Jing Lyu, Shuanghao Bai, Runze Xiao +11Efficient World-Action Model World Models
Learning Interaction Kernels from Collective Steady States
Sep 10, 2026Baoli Hao, Mauro Maggioni, Ming ZhongSystem Identification Toward Interaction Dynamics
HiBRIDGE: A Hierarchical Bayesian Neural Network Framework for Interpretable Dialogue Management in Group-Robot Interaction
Sep 8, 2026Massimiliano Nigro, Hatice Gunes, Micol Spitale +1Human-Robot Interaction Executable Robot Behavior
Solaris: Towards Interfaces That Are Generated, Not Coded
Sep 1, 2026Yuval Alaluf, Omri Avrahami, Guy Bukchin Leshem +18User Interface Toward Interaction Dynamics
IMPACT: Attention Is the Interaction Map for Scalable Interaction-Aware World Model Training
Aug 31, 2026Rongze Tang, Jianjie Fang, Zhaolu Wang +8Efficient World-Action Model Toward Interaction Dynamics
Towards Cognitive Process-Aware Proactive Writing Support
Aug 31, 2026Masahiro Yoshida, Atsuya Kobayashi, Kei Tateno +1Ai-Assisted Writing Writing
Feature Interaction Modeling for Neural Operators
Jul 30, 2026Quan Gu, Xiaoduo Li, Hongxia LiuConventional Physics-Informed Neural Networks Partial Differential Equations
DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search
Jul 29, 2026Raphaël Sourty, Antoine Chaffin, Paulo Roberto Moura Junior +1Multilingual Language Models Bert-Based Models
Align AI to Dynamic Human-AI Workflows
Jul 15, 2026Valerie Chen, Cleotilde Gonzalez, Anita Williams Woolley +4Artificial Intelligence Alignment Human-Ai Interaction
InterCMDM: Block-Causal Diffusion for Autoregressive Human Interaction Generation
Jul 2, 2026Qing Yu, Kent FujiwaraToward Interaction Dynamics Human Motion Generation
DAIN: Dynamic Agent-Based Interaction Network for Efficient and Collaborative Multimodal Reasoning
Jun 29, 2026Xinxin Chen, Yuchen Li, Zihan Wang +3Multimodal Fusion Multimodal Agents
Learning High-Level Decision Making with an Interaction-Aware Attention-Based Network in Autonomous Driving
Jun 29, 2026Marcelo Contreras, Willi Poh, Christoph Stiller +1Autonomous Driving Driving
When May I Help You? On The Effect of Proactivity on Group Human-Robot Collaboration
Jun 26, 2026Thomas Vitry, Vanessa Maeder, Kieran von Valeburg +6Proactive Toward Interaction Dynamics
A Generative Model for Closed-Loop Microsimulation of Signalized Intersections
Jun 22, 2026Yash Ranjan, Rahul Sengupta, Anand Rangarajan +1Microscopic Traffic Simulations Trajectory Prediction
Learn to Quantify Social Interaction with Constraints for Pedestrian Walking
Jun 16, 2026Xiaodan ShiPedestrian Trajectory Prediction Toward Interaction Dynamics
Context-Guided Semantic Alignment for Feature Fusion Networks
Jun 12, 2026Hyungseop Lee, Jiho Lee, Woochul KangFeature Pyramid Networks Object Detection
Toward Interaction Dynamics: A Predictive Framework for Safe Physical Human Robot Interaction
Jun 6, 2026Yongyan Cao, Jinshan TangHuman-Robot Interaction Impedance Control
Structured interactions improve distributed coordination beyond model scaling in a real-world multi-robot system
May 28, 2026Junping Wang, Zhizhong Zhang, Yongqiang Tang +5Multi-Robot Systems Toward Interaction Dynamics
When Does Model Collapse Occur in Structured Interactive Learning?
May 19, 2026Yuchen Wu, Kangjie Zhou, Weijie SuCollapse Generative Models
Alignment Drift in Long-Term Human-LLM Interaction: A Mechanism-Oriented Framework
May 15, 2026Xintong YaoArtificial Intelligence Alignment Human-Ai Interaction
BEHAVE: A Hybrid AI Framework for Real-Time Modeling of Collective Human Dynamics
May 12, 2026Helene MalyutinaCollective Behaviors Toward Interaction Dynamics
Engagement Process: Rethinking the Temporal Interface of Action and Observation
May 12, 2026Jialian Li, Yuchen Cao, Junhong Liu +5Partially Observable Markov Decision Process Toward Interaction Dynamics
A Marine Debris Detection Framework for Ocean Robots via Self-Attention Enhancement and Feature Interaction Optimization
May 8, 2026Yuyang Li, Jiashu Han, Yinyi Lai +2Underwater Robots Toward Interaction Dynamics
Contact Matrix: Enhancing Dance Motion Synthesis with Precise Interaction Modeling
May 6, 2026Xuhai Chen, Zhi Cen, Huaijin Pi +3Human Motion Generation Duet
InterFuserDVS: Event-Enhanced Sensor Fusion for Safe RL-Based Decision Making
May 5, 2026Mustafa Sakhaia, Kaung Sithua, Min Khant Soe Okea +1Multi-Sensor Fusion Autonomous Driving Perception
ExoActor: Exocentric Video Generation as Generalizable Interactive Humanoid Control
Apr 30, 2026Yanghao Zhou, Jingyu Ma, Yibo Peng +3Long-Tail Humanoid Whole-Body Control Large-Scale Video Generation Models
From Prompt to Physical Actuation: Holistic Threat Modeling of LLM-Enabled Robotic Systems
Apr 29, 2026Neha Nagaraja, Hayretdin Bahsi, Carlo R. da CunhaThreat Models Robotics
Understanding DNNs in Feature Interaction Models: A Dimensional Collapse Perspective
Apr 29, 2026Jiancheng Wang, Mingjia Yin, Hao Wang +1Higher-Order Correlations Toward Interaction Dynamics
Generalizable Friction Coefficient Estimation via Material Embedding and Proxy Interaction Modeling
Apr 27, 2026Zhendong Wang, Huamin WangFriction Toward Interaction Dynamics
Environmental Understanding Vision-Language Model for Embodied Agent
Apr 21, 2026Jinsik Bang, Jaeyeon Bae, Donggyu Lee +2Embodied Agents Large Vision Language Models
Resolving space-sharing conflicts in road user interactions through uncertainty reduction: An active inference-based computational model
Apr 21, 2026Julian F. Schumann, Johan Engström, Ran Wei +3Collision Avoidance Toward Interaction Dynamics
Modeling Distinct Human Interaction in Web Agents
Feb 19, 2026Faria Huq, Zora Zhiruo Wang, Zhanqiu Guo +6Web Agents Human-Ai Collaboration
Friend or Foe
Aug 29, 2025Oleksandr Cherednichenko, Josephine Solowiej-Wedderburn, Laura M. Carroll +1Bacterial Colony Counting Peers
Emergent interactions lead to collective frustration in robotic matter
Jul 29, 2025Onurcan Bektas, Adolfo Alsina, Steffen RulandsCollective Behaviors Multi-Robot Systems

Sep 16, 2026 · eess.SYJ/K move · Enter open · S save

Towards Interaction Regulation from Human Feedback via Free Energy Minimization

Maria Paula Diaz Monfort, Cinzia Tomaselli, Michael Richardson, Giovanni Russo

A central challenge across control and learning is the design of mechanisms regulating the interactions between humans and autonomous agents. Inspired by the free energy principle from computational neuroscience, we introduce a control-theoretical framework to integrate human preferences online into an agent policy. We turn the framework into an open control architecture and validate our approach using a human-in-the-loop experimental testbed involving a rover navigating via onboard sensing. The human, remotely located and equipped with virtual reality headsets, shares the same sensory information as the rover. Human preferences are provided to the rover via gestures which introduce both cooperative and competitive interactions between the agent goal and the preferences. The experiments show that interactions are regulated, validating the proposed approach.

Human-Robot Interaction Control System Operator Learning Long-Tail Humanoid Whole-Body Control Toward Interaction Dynamics Reinforcement Learning From Human Feedback Human-In-The-Loop Agentic Control

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