mlsanityData to 14 Oct 2026

Deco: Extending Cherished Physical Objects into AI Companion Agents through Dual Embodiment

arXiv 2605.03882 ↗First posted 5 May 2026cs.HC cs.AI cs.CYcited by 0

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Abstract (arXiv)

Physical objects (e.g., plush toys) can transcend materiality to become emotional anchors and provide companionship. However, these bonds remain one-sided because most physical objects cannot reciprocate. AI companions offer responsiveness and personalization, but typically entail building bonds from scratch. We investigated how AI companions might inherit and extend users' existing bonds with physical objects. A formative study (N=9) informed four design principles (Faithful Identity, Calibrated Agency, Ambient Presence, Reciprocal Memory), shaping our Dual-Embodiment Companion Framework. We instantiated it as Deco to create digital embodiments of physical companions. In a within-subjects lab study (N=25), Deco was rated higher than a personalized digital-only companion on six companion-related measures (all p<.01). A subsequent seven-day field deployment (N=17) showed sustained engagement, higher post-deployment well-being (p=.040), and three key relational patterns: digital activities retroactively vitalized physical objects, bond deepening centered on emotional engagement depth, and participants sustained bonds while navigating companions' AI nature. Dual embodiment offers a promising framework for revitalizing physical objects with AI agents.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 9 of its 68 references that are in the map. First posted on arXiv 5 May 2026.

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References · 9

  1. 2024Examining Identity Drift in Conversations of LLM Agentscited by 25
  2. 2024ComPeer: A Generative Conversational Agent for Proactive Peer Supportcited by 24
  3. 2024MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiencescited by 24
  4. 2025Mental Health Impacts of AI Companions: Triangulating Social Media Quasi-Experiments, User Perspectives, and Relational Theorycited by 9
  5. 2025InteRecon: Towards Reconstructing Interactivity of Personal Memorable Items in Mixed Realitycited by 3
  6. 2026Hear You in Silence: Designing for Active Listening in Human Interaction with Conversational Agents Using Context-Aware Pacingcited by 3
  7. 2025AI for Proactive Mental Health: A Multi-Institutional, Longitudinal, Randomized Controlled Trialcited by 1
  8. 2026Conversing with Objects toward Fluid Human and Artificial Identities during Life Transitionscited by 1
  9. 2026More than Decision Support: Exploring Patients' Longitudinal Usage of Large Language Models in Real-World Healthcare-Seeking Journeyscited by 1

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  1. 2025Systematizing LLM Persona Design: A Four-Quadrant Technical Taxonomy for AI Companion Applications
  2. 2025Reframing Human-Robot Interaction Through Extended Reality: Unlocking Safer, Smarter, and More Empathic Interactions with Virtual Robots and Foundation Models ↗
  3. 2026Toward Natural and Companionable Virtual Agents via Cross-Temporal Emotional Modeling
  4. 2026ExpressionCueLens: A Cross-Cultural Analysis of Human-AI Companion Conversations on Social Media ↗
  5. 2026Distributed Human Identity: AI-Enabled Multi-Existence Through Cognitive Replication and Robotic Embodiments
  6. 2025Talking Spell: A Wearable System Enabling Real-Time Anthropomorphic Voice Interaction with Everyday Objects ↗
  7. 2024"I Like Sunnie More Than I Expected!": Exploring User Expectation and Perception of an Anthropomorphic LLM-based Conversational Agent for Well-Being Support
  8. 2025DinoCompanion: An Attachment-Theory Informed Multimodal Robot for Emotionally Responsive Child-AI Interaction