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arxiv: 2605.03882 · v1 · submitted 2026-05-05 · 💻 cs.HC · cs.AI· cs.CY

Recognition: unknown

Deco: Extending Personal Physical Objects into Pervasive AI Companion through a Dual-Embodiment Framework

Authors on Pith no claims yet

Pith reviewed 2026-05-07 14:36 UTC · model grok-4.3

classification 💻 cs.HC cs.AIcs.CY
keywords dual-embodimentAI companionaugmented realityemotional bondphysical objectLLMpervasive computinghuman-computer interaction
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The pith

Dual-embodiment systems let physical objects inherit emotional bonds when extended by responsive AI companions via AR and LLMs.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper claims that AI companions perform better when they extend users' existing attachments to physical objects rather than starting as independent digital entities. It first extracts four design principles from a formative study and then builds Deco as a mobile application that pairs a physical item with a synchronized AR digital version driven by multimodal LLMs. Controlled comparisons and a week-long deployment indicate stronger reported companionship, emotional bonds, and well-being gains than a digital-only baseline. Readers might care because many people already own cherished objects that could gain responsiveness without losing their tangible, history-rich presence.

Core claim

The Dual-Embodiment Companion Framework, realized in Deco, enables digital agents to inherit and extend the emotional history of physical objects through synchronized AR embodiments, producing measurably higher companionship and bond scores than standalone personalized LLM companions.

What carries the argument

The Dual-Embodiment Companion Framework, which synchronizes a user's physical companion object with an AR digital embodiment powered by multimodal LLMs to maintain identity, agency, presence, and memory across both forms.

If this is right

  • Deco produces higher scores than a personalized LLM baseline on perceived companionship, emotional bond, and adherence to the four design principles.
  • Seven days of use yields sustained engagement and a measurable rise in subjective well-being.
  • Digital activities can retroactively increase the perceived vitality of the original physical object.
  • Bond deepening correlates more with depth of emotional engagement than with raw interaction frequency.
  • Users continue the relationship while explicitly acknowledging and navigating the companion's AI character.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same dual-embodiment logic could apply to other personal physical items such as tools, jewelry, or mementos that users already treat as emotionally significant.
  • Longer deployments might show whether the digital layer changes how often or how tenderly people handle the physical object itself.
  • Adding environmental sensors could further support the ambient-presence principle by letting the companion react to context outside the user's direct interaction.

Load-bearing premise

Emotional bonds formed with physical objects can be faithfully inherited and extended by a digital AR embodiment without the technology introducing artifacts that erode authenticity or immersion.

What would settle it

A larger within-subjects study that finds no statistically significant difference in emotional-bond or companionship scores between Deco and the digital-only baseline would undermine the claimed advantage of the dual-embodiment approach.

Figures

Figures reproduced from arXiv: 2605.03882 by Bingsheng Yao, Dakuo Wang, Emma Macmanus, Frances R. Levin, James L. David, Lena Mamykina, Mengyuan Millie Wu, Nabila El-Bassel, Ping Zhang, Ruishi Zou, Ryan Sultan, Shiyu Xu, Steven Liao, Tingyu Cheng, Xuhai Xu, Xun Qian, Zhihan Jiang.

Figure 1
Figure 1. Figure 1: Overview of Deco. A user’s cherished physical object is extended through the dual-embodiment framework into a pervasive digital companion, realized as a mobile system guided by four design principles: Faithful Identity, Calibrated Agency, Ambient Presence, and Reciprocal Memory. arXiv:2605.03882v1 [cs.HC] 5 May 2026 view at source ↗
Figure 2
Figure 2. Figure 2: Dual-Embodiment Companion Framework. The companion exists as a single entity with physical and digital em view at source ↗
Figure 3
Figure 3. Figure 3: The photos of the cherished physical objects of P1-P9 in the formative study. view at source ↗
Figure 4
Figure 4. Figure 4: System Architecture of Deco. The system consists of four modules: (1) the object-grounded identity synchronization module, (2) the identity-anchored interaction module, (3) the context-situated agency module, and (4) the reciprocally evolving memory module. • Pixel-art style avatar generation: A generative vision model (Gemini 3.1 Pro) processes user uploads into pixel-art sprites (Appendix B.1.1). To enfo… view at source ↗
Figure 5
Figure 5. Figure 5: Study I chat content analysis: percentage of user-sent messages in each category by condition ( view at source ↗
Figure 6
Figure 6. Figure 6: Feature contribution rating heatmap and pre-post comparison of WHO-5 well-being and loneliness ( view at source ↗
Figure 7
Figure 7. Figure 7: Daily prevalence of ten message categories (measured in %) over the seven-day deployment ( view at source ↗
read the original 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 baseline on perceived companionship, emotional bond, and design-principle scales (all p<0.01). A seven-day field deployment (N=17) showed sustained engagement, subjective well-being improvement (p=.040), and three key relational patterns: digital activities retroactively vitalized physical objects, bond deepening was driven by emotional engagement depth rather than interaction frequency, and users sustained bonds while actively navigating digital companions' AI nature. This work highlights a promising alternative for designing digital companions: moving from creating new relationships to dual embodiment, where digital agents seamlessly extend the emotional history of physical objects.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The paper proposes the Dual-Embodiment Companion Framework to extend users' existing emotional attachments to physical objects (e.g., plush toys) into responsive AI companions via synchronized AR and multimodal LLM embodiments. Four design principles (Faithful Identity, Calibrated Agency, Ambient Presence, Reciprocal Memory) are derived from a formative study (N=9). These inform the Deco system, which is evaluated in a within-subjects lab study (N=25) showing statistically significant advantages over a personalized LLM digital baseline on companionship, emotional bond, and principle scales (all p<0.01), plus a 7-day field deployment (N=17) reporting sustained engagement, well-being gains (p=.040), and three relational patterns.

Significance. If the empirical claims hold after addressing reporting gaps, the work offers a distinctive alternative to de novo AI companion design by leveraging pre-existing physical bonds, with potential implications for more authentic long-term human-AI relationships. The multi-phase evaluation (formative + controlled + in-situ) and identification of specific relational patterns (e.g., digital activities retroactively vitalizing physical objects) constitute concrete strengths that could guide future systems.

major comments (2)
  1. [§5] §5 (Within-Subjects Evaluation): The N=25 study reports significant superiority (p<0.01) on perceived companionship and emotional bond scales yet omits effect sizes, counterbalancing details for the within-subjects design, blinding procedures, and power analysis; these omissions directly undermine confidence in the load-bearing claim that the dual-embodiment approach outperforms a non-physical baseline.
  2. [§6] §6 (Field Deployment): The N=17 seven-day study shows well-being improvement (p=.040) and relational patterns but includes neither a physical-only control arm nor independent authenticity/immersion metrics (e.g., third-party observation or physiological synchrony); without these, the central assumption that AR embodiment faithfully extends physical bonds without detectable artifacts remains untested at scale.
minor comments (2)
  1. [§4] The four design principles are introduced in §4 and then reused as evaluation scales in §5 without an explicit statement of how they were operationalized into questionnaire items.
  2. [Results figures] Figure captions and axis labels in the results figures lack units or scale ranges, reducing interpretability of the reported means and significance markers.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their thoughtful and constructive feedback on our manuscript. We address each major comment below and outline the revisions we will make to strengthen the paper.

read point-by-point responses
  1. Referee: [§5] §5 (Within-Subjects Evaluation): The N=25 study reports significant superiority (p<0.01) on perceived companionship and emotional bond scales yet omits effect sizes, counterbalancing details for the within-subjects design, blinding procedures, and power analysis; these omissions directly undermine confidence in the load-bearing claim that the dual-embodiment approach outperforms a non-physical baseline.

    Authors: We agree that more detailed statistical reporting is necessary to support the claims. In the revised version, we will add effect sizes (Cohen's d) for all reported significant differences. We will include details on the counterbalancing procedure, which used a balanced Latin square to assign condition orders. The study was single-blind in that participants were unaware of the specific hypotheses being tested, though the visual difference in conditions made full double-blinding impractical; we will clarify this limitation. Additionally, we will report a post-hoc power analysis confirming sufficient power for the observed effects. These changes will be incorporated without altering the core findings. revision: yes

  2. Referee: [§6] §6 (Field Deployment): The N=17 seven-day study shows well-being improvement (p=.040) and relational patterns but includes neither a physical-only control arm nor independent authenticity/immersion metrics (e.g., third-party observation or physiological synchrony); without these, the central assumption that AR embodiment faithfully extends physical bonds without detectable artifacts remains untested at scale.

    Authors: The field study was intended as an exploratory deployment to capture real-world usage patterns and emergent relational dynamics, complementing the controlled lab study. A physical-only control arm was not feasible in this in-situ context as participants used their own personal objects, and the focus was on integration with the dual-embodiment system. We acknowledge the value of additional metrics for authenticity and immersion. In the revision, we will expand the discussion of limitations, explicitly noting the absence of control conditions and objective measures, and propose future studies incorporating physiological data or observational methods. The qualitative findings on relational patterns provide supporting evidence for the framework's viability, but we will temper claims accordingly. revision: partial

Circularity Check

0 steps flagged

No significant circularity

full rationale

The paper follows a standard empirical HCI research process with no mathematical derivations, parameter fitting, or definitional loops. A small formative study (N=9) derives four design principles that inform the Dual-Embodiment Framework and Deco implementation; these are then evaluated via independent larger studies (within-subjects N=25 against a non-physical LLM baseline, and field deployment N=17) using direct user-reported measures of companionship, emotional bond, well-being, and engagement. No equations, self-citations of prior author work, or fitted inputs reduce the central empirical claims to the formative inputs by construction. The outperformance results (p<0.01, p=0.040) are external observations against a control condition and are not tautological.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 1 invented entities

The central claim rests on the domain assumption that emotional attachments to physical objects are transferable to digital counterparts via synchronized embodiment. No free parameters or invented physical entities are introduced; the framework itself is the primary contribution.

axioms (1)
  • domain assumption Users form deep attachments to physical objects that can be inherited and extended by digital agents without loss of authenticity
    This premise underpins the entire Dual-Embodiment Framework and is justified only by the small formative study.
invented entities (1)
  • Dual-Embodiment Companion no independent evidence
    purpose: Synchronized physical-digital entity that extends emotional history
    Core system concept introduced by the paper; no independent falsifiable evidence outside the reported studies.

pith-pipeline@v0.9.0 · 5620 in / 1553 out tokens · 182892 ms · 2026-05-07T14:36:57.336553+00:00 · methodology

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Reference graph

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