Deco: Extending Personal Physical Objects into Pervasive AI Companion through a Dual-Embodiment Framework
Zhihan Jiang, Mengyuan Millie Wu, Ruishi Zou, Shiyu Xu, Xun Qian, Emma Macmanus, Steven Liao, Ping Zhang, Bingsheng Yao, Tingyu Cheng, James L. David, Nabila El-Bassel, Lena Mamykina, Frances R. Levin, Ryan Sultan, Dakuo Wang, Xuhai Xu

TL;DR
Deco introduces a dual-embodiment framework that extends emotional bonds with physical objects into digital AI companions using multimodal LLMs and AR, enhancing perceived companionship and emotional connection.
Contribution
This work presents Deco, a novel system combining physical objects with digital AI companions through a dual-embodiment framework, supported by formative studies and field deployment.
Findings
Deco significantly improved perceived companionship and emotional bonds (p<0.01).
Participants showed sustained engagement and subjective well-being improvement.
Digital activities retroactively revitalized physical objects and deepened bonds.
Abstract
Individuals frequently form deep attachments to physical objects (e.g., plush toys) that usually cannot sense or respond to their emotions. While AI companions offer responsiveness and personalization, they exist independently of these physical objects and lack an ongoing connection to them. To bridge this gap, we conducted a formative study (N=9) to explore how digital agents could inherit and extend the emotional bond, deriving four design principles (Faithful Identity, Calibrated Agency, Ambient Presence, and Reciprocal Memory). We then present the Dual-Embodiment Companion Framework, instantiated as Deco, a mobile system integrating multimodal Large Language Models (LLMs) and Augmented Reality to create synchronized digital embodiments of users' physical companions. A within-subjects study (N=25) showed Deco significantly outperformed a personalized LLM-empowered digital companion…
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