Activating Cultural Genes: A Generative Ecosystem Approach for the Living Transmission of Tianjin Yangliuqing New Year Paintings
Abstract
1. Introduction
- Theoretical contribution: It constructs an integrative analytical framework that bridges the macro-level evolutionary dynamics of CAS with the micro-level motivational pathways of Emotional Design, addressing a theoretical gap between systemic heritage preservation and individual user experience.
- Methodological contribution: It operationalizes this framework into a reproducible design methodology for translating abstract ICH cultural genes into tangible, reconfigurable modules driven by a semantic ontology, transitioning the design focus from static reproduction to generative cultivation.
2. Theoretical Foundations and Analytical Framework
2.1. Terminology and Conceptual Boundaries
2.2. CAS: A Paradigm Shift from Static Preservation to Ecological Cultivation
2.2.1. Adaptive Agents: From Sole Inheritors to a Heterogeneous Actor-Network
2.2.2. Interaction Rules: From Designing Products to Engineering Generative Principles
2.2.3. Emergence: From Imparting Meaning to Facilitating Emergent Identity
2.2.4. Evolution: From a Fixation on Authenticity to a Dynamic Equilibrium
2.3. Cultural Genes: The Fundamental Units of ICH Evolution
2.3.1. Core Cultural Genes: The Spiritual Nucleus and Value Archetypes
2.3.2. Structural Cultural Genes: Artisanal Formulae and Narrative Rules
2.3.3. Phenotypic Cultural Genes: Visual Symbols and Sensory Elements
2.4. Emotional Design: The Motivational Engine of Systemic Evolution
2.4.1. The Visceral Level: Creating Initial Attraction Through Sensory Experience
2.4.2. The Behavioral Level: Empowering Co-Creation Through Interaction Rules
2.4.3. The Reflective Level: Cultivating Value-Based Identity Through Community Narrative
2.5. The Integrative Analytical Framework
- CAS theory provides the macro-level systemic lens, framing ICH living transmission as a dynamic cultural ecosystem defined by agent interaction and emergence.
- Cultural gene theory offers the meso-level analytical unit, enabling the deconstruction and recombination of cultural content as it moves through the ecosystem.
- Emotional design theory delivers the micro-level motivational strategy, offering a pathway to activate public engagement and cultivate value-based identity.
2.5.1. A Systemic Diagnostic Function
2.5.2. Guidance for Generative Design
- Designing emotional entry points: Leveraging visceral design to create compelling sensory experiences that capture public attention and invite initial engagement.
- Designing interaction rules: Translating cultural genes into engaging, gamified interaction rules at the behavioral level, empowering the public to recombine and innovate through active participation.
- Designing the ecosystem for meaning-making: Architecting a reflective space where community interaction and collective narratives can flourish, enabling cultural identity to emerge organically.
2.5.3. Catalyzing a Paradigm Shift
3. Methodology: A Framework for Constructive Design Research
3.1. Phase I: Cultural Gene Deconstruction and Aesthetic Transcoding (Visceral Level)
3.1.1. A Genealogical Deconstruction of Cultural Genes
- Identification and classification: This step identifies the heritage’s core cultural genes (e.g., conveying auspicious wishes), its structural cultural genes (e.g., the artisanal logic of “half-printing, half-painting”), and its phenotypic cultural genes (e.g., iconographic motifs and signature color palettes).
- Modularization and parameterization: The complex visual system is deconstructed into reconfigurable, modular units. For example, a traditional print like Liannian Youyu (Surplus Year after Year) is broken down into independent modules: the child’s posture, the carp’s form, and the lotus flower. This process establishes the technical foundation for subsequent public co-creation.
- Core cultural genes were identified by recurring symbolic meanings and underlying philosophical values (e.g., auspiciousness, harmony, prosperity) that remained invariant across eras. Consensus among the expert team was prioritized for these classifications.
- Structural cultural genes were defined by technical procedures (e.g., ’half-printing, half-painting’ workflow), compositional rules (e.g., symmetry, hierarchy), and narrative conventions (e.g., specific character pairings for blessings), identified through analysis of workshop manuals and inheritor interviews.
- Phenotypic cultural genes encompassed specific iconographic motifs (e.g., Baoyu Wawa, lotus, carp), characteristic color palettes, and material qualities. These were cataloged as the most visible and variable expressions. Initial coding was performed independently by two researchers, followed by cross-validation to resolve discrepancies and ensure inter-coder reliability. Examples of each gene type are provided in Section 4.2.1. This rigorous process established a comprehensive yet modular “gene pool” for the subsequent design phases.
3.1.2. The Contemporary Aesthetic Transcoding of Phenotypic Cultural Genes
- Abstraction and stylization of graphics: Traditional motifs are abstracted and stylized to enhance their modern appeal and combinatorial flexibility while preserving their core recognizable features.
- Reconstruction of the emotional color palette: Signature color genes are extracted and reconfigured into a standardized emotional color palette that retains traditional resonance while meeting modern aesthetic preferences.
- Translation of materiality and tactility: Materiality and tactility are translated through carefully selected materials that convey emotional values like warmth and affinity, engaging the user’s visceral perception through haptic experiences.
3.2. Phase II: Design of Generative Interaction Rules (Behavioral Level)
3.2.1. Designing the Interactive Framework as a Set of Generative Rules
3.2.2. Constructing a Physical-Digital Evolutionary Loop
- Digitalization and social dissemination: Users transform their physical creations into dynamic digital content, such as augmented reality (AR) videos or stickers, for social sharing. This enhances the participatory experience and catalyzes the living transmission of new cultural variations.
- Real-time integration of cultural semantics: The platform integrates a Cultural Gene Interpretation Library that recognizes cultural gene combinations in user creations and generates personalized interpretations of their cultural symbolism. This method enables intuitive learning through direct engagement.
- Community recognition as an incentive mechanism: The platform incorporates gamified features like narrative assembly showcases, peer endorsements, and themed challenges. These features provide social validation and incentivize continuous creation, thereby applying positive evolutionary pressure to the ecosystem.
3.3. Phase III: Cultivating an Emergent Field for Meaning-Making (Reflective Level)
3.3.1. Designing a Digitally Curated Environment for Meaning-Making
3.3.2. Catalyzing the Formation of a Community of Practice
3.3.3. Closing the Evolutionary Loop
4. Case Study: Instantiating the Framework via the Yangliuqing Narrative Ecosystem Design
4.1. Design Rationale and Objectives
4.2. Ecosystem Architecture: A Physical-Digital Hybrid
4.2.1. The Physical Layer: Cultural Gene Modules
- Cultural gene mapping: The cultural gene pool of Yangliuqing New Year Paintings, including figures, flora, fauna, and decorative motifs, is mapped onto a library of distinct, combinatorial wooden modules. Each module is the physical embodiment of a discrete unit of cultural meaning.
- Multisensory design: The modules are designed for a multisensory experience to enhance visceral appeal. Visually, they employ a refined traditional color system. Haptically, they are crafted from high-quality wood to provide a warm, pleasing texture, while their interlocking structures provide auditory feedback, creating a holistic sensory invitation for engagement.
4.2.2. The Digital Layer: The Narrative Engine Mini-Program
4.3. Operationalizing the Three-Level Emotional Pathway
4.3.1. Visceral-Level Application: Establishing Initial Emotional Engagement
4.3.2. Behavioral-Level Application: Driving Co-Creation Through Narrative Interaction
- Embodied creation: Users physically manipulate and assemble cultural gene modules, engaging in a form of cultural creation grounded in embodied cognition [56]. This accessible and open-ended form of meaningful play constitutes the core participatory experience.
- AR scanning and semantic generation: This step provides the critical link between behavior and meaning. After completing a narrative assembly (the physical combination of modules), the user scans it with the mini-program’s AR function:
- Dynamic augmentation: On-screen, the static modules are brought to life with dynamic effects, providing immediate and engaging visual feedback.
- Narrative generation: This action activates the ecosystem’s backend cultural gene ontology, which identifies the module combination and generates a personalized cultural interpretation. The cultural gene ontology is a structured knowledge base serving as the backbone for semantic generation. It was constructed by linking identified phenotypic and structural cultural gene modules to their corresponding core cultural gene values and traditional narratives. For example, if a user combines the “chubby baby” module with the “lotus” and “carp” modules, the ontology recognizes this specific combination. It then retrieves associated narrative fragments from its database and dynamically generates a personalized narrative explaining that this arrangement evokes the ancient blessing of “Liannian Youyu” (surplus year after year), linking the user’s tangible creation directly to its rich cultural heritage.
- Community dissemination: Users can share the resulting AR video clip on social media or within the ecosystem’s “Narrative Assembly Plaza,” initiating the network transmission and collective selection of cultural genes.
4.3.3. Reflective-Level Application: Cultivating Community and Cultural Identity
- Collective narrative as an emergent property: The “Narrative Assembly Plaza” is designed as a dynamic environment where collective behavior becomes visible. Algorithms curate and display popular or novel cultural gene combinations, providing real-time feedback to the community. This makes the evolving cultural narrative an emergent property of the ecosystem, authored collectively rather than dictated top-down.
- Community empowerment and the emergence of a community of practice: The ecosystem is explicitly designed to empower its participants, shifting them from passive consumers to active stewards of the heritage. As users interact by sharing, remixing, and validating creations, social bonds and shared norms are designed to emerge. This process catalyzes the formation of a community of practice [52], a stable, macro-level structure that becomes the primary locus of cultural authority. In this emergent structure, the community itself governs the evolution of the heritage, ensuring that its development is grounded in shared values and collective identity. The system thereby becomes a symbolic marker of belonging and a tool for genuine cultural self-determination.
4.4. Realizing the Evolutionary Loop
4.5. Proposed Evaluation Framework for Future Empirical Validation
4.5.1. Methodology: Mixed-Methods Approach
4.5.2. Targeted Participants and Sampling
- Expert review (N = 5–7): Cultural heritage experts, design practitioners, and inheritors will be recruited through purposive sampling to assess the ecosystem’s cultural fidelity, design quality, and theoretical alignment.
- User study (N = 50–100): A diverse group of participants with varying prior knowledge of ICH will be recruited via convenience sampling from local communities to engage in hands-on interaction with the system.
4.5.3. Key Metrics, Instruments, and Analysis Plan
- Visceral Level Assessment (Initial Attraction):
- Metrics: Aesthetic appeal, perceived enjoyment, desire to explore.
- Instruments: User surveys (Likert scales), qualitative interviews on first impressions.
- Analysis: Descriptive statistics and thematic analysis of emotional responses.
- Behavioral Level Assessment (Active Co-creation):
- Metrics: Engagement depth (e.g., number of creations), diversity of cultural gene combinations, perceived ease of use, sense of agency.
- Instruments: Platform analytics, user surveys on usability and creative freedom, direct observation.
- Analysis: Statistical analysis of platform data, correlation analysis, and thematic analysis of feedback.
- Reflective Level Assessment (Cultural Identity and Community):
- Metrics: Increased cultural understanding, perceived relevance to personal identity, participation in community features (likes, comments), expert review of user-generated narratives for cultural fidelity and innovation.
- Instruments: Post-interaction surveys, focus groups on cultural learning and sense of belonging, content analysis of user outputs by experts.
- Analysis: Thematic analysis of qualitative data on cultural perception, social network analysis of community interactions, and qualitative content analysis by experts.
5. Conclusions and Future Prospects
5.1. Core Contributions and Implications
- Proposing a reconceptualized transmission paradigm from static fidelity to genetic evolution. This study reframes the goal of transmission not as the faithful replication of historical forms but as the activation of intrinsic cultural genes within a dynamic ecosystem. This approach shifts the focus from preserving static objects to cultivating the relationships and processes that enable self-evolution, offering a new theoretical lens for understanding ICH in the digital era.
- Articulating a redefined role for the public from passive consumers to active co-creators. In this model, the public is repositioned as active co-creators who encode and transmit cultural meaning. Their collective creativity becomes the primary driver of cultural variation and selection, thus offering a pathway for ICH to achieve a state of self-regeneration rather than passive dependency. This re-envisioning highlights the transformative potential of participatory design in heritage contexts.
- Reimagining the designer’s role from auteur to ecosystem architect. The designer’s role transforms from a creator of static forms to an architect of generative ecosystems. Their focus is not on engineering a finite outcome but on cultivating a possibility space, reflecting a sophisticated understanding of the emergent properties inherent in complex systems.
5.2. Limitations and Future Research Directions
- The cultural gene metaphor. While the cultural gene model offers analytical clarity, its application requires caution to avoid cultural essentialism. The transmission of tacit knowledge and the experiential aura of cultural practice remain critical dimensions that this model may not fully capture.
- Future empirical validation. The proposed design is, at present, a proof-of-concept. As detailed in Section 4.5, its real-world efficacy will require rigorous empirical validation through expert reviews and user studies to understand its interaction with broader socio-cultural forces. This validation will be crucial for moving beyond theoretical potential to demonstrated impact.
- Balancing innovation and fidelity. Although the framework anchors innovation in core cultural genes, the distinction between culture core and phenotypic modules is inherently a discursive construction. Future work must address how to evaluate a dynamic, negotiated authenticity to prevent significant semantic drift.
- Developing a multi-dimensional evaluation framework. A significant next step is to establish clear metrics for evaluating the success of such a generative ecosystem. A robust evaluation requires a multi-dimensional framework assessing system performance and cultural impact across at least three domains: (1) Engagement metrics (e.g., active users, creation frequency, genetic entropy); (2) Community health metrics (e.g., density of social connections, user retention); and (3) Cultural vitality metrics (e.g., novelty and resonance of emergent forms, strength of self-reported cultural identity). Establishing such a framework is essential for moving from a proof-of-concept to a validated model for living transmission.
- Scalability and applicability to diverse ICH domains. This framework was developed through a case study of a visual craft. Its direct applicability to other ICH forms, particularly non-visual domains like oral traditions or performing arts, requires further investigation. While the core principles of CAS and Emotional Design may be broadly applicable, the specific methodological steps for deconstructing and recombining cultural genes must be carefully re-calibrated for each unique domain.
- Integrating broader socio-cultural, economic, and ethical dimensions. A comprehensive approach must also integrate critical considerations beyond the design itself. This includes navigating issues of the digital divide and technological accessibility; addressing intellectual property rights for co-created works to ensure equitable value distribution; and establishing ethical safeguards to prevent the trivialization of deep cultural meanings or the creation of culturally inappropriate content. Future iterations must incorporate a robust ethical design process.
5.3. Prospects: Toward a Computational Heritage Studies
- Cultural genomics. Future work could build a structured genomic database of cultural traditions. Computational methods could then be used to model and analyze these large-scale cultural datasets, offering a data-informed perspective on the principles of cultural evolution.
- Human–AI cultural co-creation. The generative toolkit could be integrated with generative AI technologies to explore models of human–AI collaboration. In this scenario, AI could serve as an inspirational partner that has mastered the cultural grammar, assisting users in creating novel cultural content.
- Hybrid cultural tourism. The ecosystem could be combined with locative media like Augmented and Mixed Reality (AR/MR) to create immersive, hybrid narrative experiences in cultural heritage sites such as museums and historical districts.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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Shen, Z.; Cai, Y.; Yu, Y.; Kong, X.; Cang, S. Activating Cultural Genes: A Generative Ecosystem Approach for the Living Transmission of Tianjin Yangliuqing New Year Paintings. Heritage 2026, 9, 113. https://doi.org/10.3390/heritage9030113
Shen Z, Cai Y, Yu Y, Kong X, Cang S. Activating Cultural Genes: A Generative Ecosystem Approach for the Living Transmission of Tianjin Yangliuqing New Year Paintings. Heritage. 2026; 9(3):113. https://doi.org/10.3390/heritage9030113
Chicago/Turabian StyleShen, Zhaoning, Yuxin Cai, Yanhong Yu, Xiaohua Kong, and Shijian Cang. 2026. "Activating Cultural Genes: A Generative Ecosystem Approach for the Living Transmission of Tianjin Yangliuqing New Year Paintings" Heritage 9, no. 3: 113. https://doi.org/10.3390/heritage9030113
APA StyleShen, Z., Cai, Y., Yu, Y., Kong, X., & Cang, S. (2026). Activating Cultural Genes: A Generative Ecosystem Approach for the Living Transmission of Tianjin Yangliuqing New Year Paintings. Heritage, 9(3), 113. https://doi.org/10.3390/heritage9030113

