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Remember Me, Not Save Me: A Collective Memory System for Evolving Virtual Identities in Augmented Reality

Tongzhou Yu, Han Lin

TL;DR

The paper addresses how to form evolving digital identities from collective public dialogue in augmented reality and AI. It introduces Dynamic Collective Memory (DCM), a Narrative Tension mechanism, a State-Reflective Avatar for ambient explainability, and Geo-Cultural Context Anchoring. Deployed at the 2024 Jinan Biennale, it reports stable ISTP personality emergence from over 2,500 interactions and demonstrates how grounding memories in real places enhances authenticity. The work offers a reproducible framework for designing digital entities that balance remembering with forgetting, advancing collective intelligence in public spaces.

Abstract

This paper presents "Remember Me, Not Save Me," an AR & AI system enabling virtual citizens to develop personality through collective dialogue. Core innovations include: Dynamic Collective Memory (DCM) model with narrative tension mechanisms for handling contradictory memories; State-Reflective Avatar for ambient explainability; and Geo-Cultural Context Anchoring for local identity. Deployed at the 2024 Jinan Biennale, the system demonstrated stable personality emergence (ISTP type via Apply Magic Sauce analysis) from over 2,500 public interactions. We provide a framework for designing evolving digital entities that transform collective memory into coherent identity.

Remember Me, Not Save Me: A Collective Memory System for Evolving Virtual Identities in Augmented Reality

TL;DR

The paper addresses how to form evolving digital identities from collective public dialogue in augmented reality and AI. It introduces Dynamic Collective Memory (DCM), a Narrative Tension mechanism, a State-Reflective Avatar for ambient explainability, and Geo-Cultural Context Anchoring. Deployed at the 2024 Jinan Biennale, it reports stable ISTP personality emergence from over 2,500 interactions and demonstrates how grounding memories in real places enhances authenticity. The work offers a reproducible framework for designing digital entities that balance remembering with forgetting, advancing collective intelligence in public spaces.

Abstract

This paper presents "Remember Me, Not Save Me," an AR & AI system enabling virtual citizens to develop personality through collective dialogue. Core innovations include: Dynamic Collective Memory (DCM) model with narrative tension mechanisms for handling contradictory memories; State-Reflective Avatar for ambient explainability; and Geo-Cultural Context Anchoring for local identity. Deployed at the 2024 Jinan Biennale, the system demonstrated stable personality emergence (ISTP type via Apply Magic Sauce analysis) from over 2,500 public interactions. We provide a framework for designing evolving digital entities that transform collective memory into coherent identity.
Paper Structure (25 sections, 1 equation, 5 figures, 3 tables)

This paper contains 25 sections, 1 equation, 5 figures, 3 tables.

Figures (5)

  • Figure 1: Does Data Know The Screen (2023) at Glow Shenzhen, our foundational exploration of collective memory.
  • Figure 2: System architecture showing four-stage pipeline: Perception captures multimodal input, Processing performs parallel analysis with memory decisions, Fusion integrates DCM with geo-cultural context for dialogue, Output visualizes through state-reflective avatar.
  • Figure 3: Visitor using AR to photograph the virtual citizen in real locations, creating synthetic memories that ground the AI's identity in actual urban spaces.
  • Figure 4: Installation view at 2024 Jinan International Biennale.
  • Figure 5: AMS analysis showing stable ISTP personality emergence from collective interactions.