mlsanityData to 14 Oct 2026

Suzume-chan: Your Personal Navigator as an Embodied Information Hub

arXiv 2512.09932 ↗First posted 29 Oct 2025cs.AI cs.HCcited by 0

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Abstract (arXiv)

Access to expert knowledge often requires real-time human communication. Digital tools improve access to information but rarely create the sense of connection needed for deep understanding. This study addresses this issue using Social Presence Theory, which explains how a feeling of "being together" enhances communication. An "Embodied Information Hub" is proposed as a new way to share knowledge through physical and conversational interaction. The prototype, Suzume-chan, is a small, soft AI agent running locally with a language model and retrieval-augmented generation (RAG). It learns from spoken explanations and responds through dialogue, reducing psychological distance and making knowledge sharing warmer and more human-centered.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 8 references that are in the map. First posted on arXiv 29 Oct 2025.

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References · 2

  1. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 14,132
  2. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 4,057

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