Social Interactions
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Related Articles from SNS
Personality Anchoring for Social Simulation: Linking Personality, Social Behavior, and Interaction Success with LLM Agents
arXiv:2606.06936v1 Announce Type: new Abstract: Social interactions are shaped by the interplay of dispositional traits and situational context, yet systematically investigating how personality configurations between individuals jointly influence social behavior across diverse social contexts remains methodologically challenging. We address this gap by introducing a simulation pipeline adapted from the CHARISMA framework, which employs well-known movie characters and public figures as...
TRANS: Terrain-aware Reinforcement Learning for Agile Navigation of Quadruped Robots under Social Interactions
arXiv:2602.12724v3 Announce Type: replace Abstract: This study introduces TRANS: Terrain-aware Reinforcement learning for Agile Navigation under Social interactions, a deep reinforcement learning (DRL) framework for quadrupedal social navigation over unstructured terrains. Conventional quadrupedal navigation typically separates motion planning from locomotion control, neglecting whole-body constraints and terrain awareness. On the other hand, end-to-end methods are more integrated but...
Annotation of Positive vs Negative User Interactions for Social Sign Prediction
Announce Type: new Abstract: Inferring the sign of social relationships from online interactions is a fundamental challenge in social network analysis. Existing approaches typically rely on sentiment analysis to label individual interactions as positive or negative, then aggregate these labels to assign a sign to the relationship.
Annamalai to disclose his future course in a social media interaction on Friday
Former BJP Tamil Nadu president K Annamalai is expected to disclose his future course of action during a social media interaction on Friday, intensifying speculation that he might launch a new political party. Taking to social media, Annamalai posted: “Tomorrow at 12 noon, I eagerly look forward to interacting with you all on social media to share my thoughts and have an open, heart-to-heart conversation.” He also shared a link for the online session.
Social Caption: Evaluating Social Understanding in Multimodal Models
arXiv:2601.14569v2 Announce Type: replace Abstract: Social understanding abilities are crucial for multimodal large language models (MLLMs) to interpret human social interactions. We introduce SOCIAL CAPTION, a framework grounded in interaction theory to evaluate social understanding abilities of MLLMs along three dimensions: Social Inference (SI), the ability to make accurate inferences about interactions; Holistic Social Analysis (HSA), the ability to generate comprehensive descriptions of...
Online Agent-as-a-Judge: Situation-Generating Evaluation for Interactive Agents
arXiv:2606.08200v1 Announce Type: new Abstract: Evaluating LLM-powered interactive social agents is challenging because socially relevant behaviors depend not only on isolated outputs, but also on prior interactions, social roles, and downstream actions. Existing methods typically allow a target agent to act freely in an environment and then score the resulting trajectory. However, this passive setup can miss capabilities that only become observable under specific social circumstances; for...
Toward Signing Activity Projection in Sign Language Interaction
Announce Type: new Abstract: Social robots must interact robustly not only with users assumed by speech-centered systems but also with diverse users whose communication relies on different modalities, e.g., sign language. One important capability gap is predictive turn-taking with signing users. Although Voice Activity Projection (VAP) has been successfully used to model future voice activity in spoken interaction, it remains unclear whether the framework transfers to sign language interaction.
CoMPAS3D: A Dataset and Benchmark for Interactive Motion
arXiv:2507.19684v2 Announce Type: replace Abstract: Socially interactive humanoid robots must engage with humans through their bodies, adapting in real time to a partner's movement, intent, and abilities. This requires models that understand not just how bodies move, but what movement means in a shared social context. Yet evaluation frameworks for interactive motion generation do not measure whether generated follower motion is legible within a shared movement vocabulary, nor whether it is...
Real-time fish interaction enlarges young guppy brains, while screen time falls short
Real-time fish interaction enlarges young guppy brains, while screen time falls short Sadie Harley Scientific Editor Robert Egan Associate Editor Young guppies who were able to see and interact with live fish developed larger brains than guppies who only saw other fish on a screen. This is shown in a new study from Stockholm University, published in Biology Letters. The findings suggest that live social interaction in real time may be important for brain development.
EUDAIMONIA: Evaluating Undesirable Dynamics in AI
Announce Type: new Abstract: Large language models (LLMs) are increasingly used as conversational partners for companionship, emotional disclosure, and interpersonal advice, but the social dynamics of these interactions can create harms that are not captured by capability-oriented or traditional safety evaluations. We introduce the Social AI Design Code, a framework for evaluating whether LLMs align with user welfare in social interactions, including whether they encourage harmful intimacy,...