Summary of Socialmind: Llm-based Proactive Ar Social Assistive System with Human-like Perception For In-situ Live Interactions, by Bufang Yang et al.
SocialMind: LLM-based Proactive AR Social Assistive System with Human-like Perception for In-situ Live Interactions
by Bufang Yang, Yunqi Guo, Lilin Xu, Zhenyu Yan, Hongkai Chen, Guoliang Xing, Xiaofan Jiang
First submitted to arxiv on: 5 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces SocialMind, the first large language model (LLM)-based proactive augmented reality (AR) social assistive system that provides users with real-time social assistance during live conversations. It uses multi-modal sensors to extract verbal and nonverbal cues, social factors, and implicit personas, which are incorporated into LLM reasoning for generating social suggestions. The system employs a collaborative generation strategy and proactive update mechanism to display suggestions on AR glasses, ensuring timely provision without disrupting conversation flow. Evaluations on three public datasets and a user study show that SocialMind achieves 38.3% higher engagement compared to baselines, with 95% of participants willing to use the system in their daily social interactions. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary SocialMind is an exciting new technology that helps people have better conversations! Right now, virtual assistants can only help one person at a time, but SocialMind lets them provide real-time assistance during live conversations. It does this by using special sensors and computer algorithms to understand what’s happening in the conversation and suggest helpful next steps. The system even updates itself as the conversation goes on, so it always knows what to say. In tests, people were much more engaged when using SocialMind, and most people wanted to use it again. |
Keywords
» Artificial intelligence » Large language model » Multi modal
