AIGC国际交互挑战营 | AIGC 驱动的未来交互范式项目

参与北京字节跳动 × 北京邮电大学数字媒体与设计艺术学院联合项目，聚焦 AIGC 技术对未来交互范式的革新探索，主导 “象生 Formlife” 平台的参数化生成与交互逻辑设计，实现从用户个性化数据到艺术化交互体验的全链路落地。

核心工作：

• 设计参数化生成体系：用户输入生辰、星盘、情绪状态等信息后，通过 AI 大模型进行命理学分析，生成驱动色彩、形态、光影的个性化参数，最终产出独一无二的平面纹样，实现 “个人数据 - 艺术符号” 的精准转化；

• 构建全链路交互逻辑：从用户信息输入、五行命理分析生成、参数影响设定，到纹样生成与多场景应用（壁纸、纹身贴、3D 沉浸式空间交互），搭建完整且丝滑的用户体验流程，让个性化创作可落地、可交互、可复用；

• 推动跨学科技术融合：联动算法、设计、用户体验团队，攻克 AIGC 在命理参数映射、纹样风格一致性、多模态交互适配等技术难点，成果成为挑战营标杆案例，为 AIGC 驱动的个性化交互设计提供可复制的方法论。

English Project Experience

International Interaction Challenge Camp | AIGC-Driven Future Interaction Paradigm Project (Aug 2025)

Participated in the joint project by ByteDance Beijing and the School of Digital Media & Design Art, Beijing University of Posts and Telecommunications, focusing on exploring the innovative paradigm of future interaction driven by AIGC. Led theparametric generation and interaction logic designfor the "Formlife" platform, realizing the full-link implementation from users’ personalized data to artistic interactive experience.

Key Responsibilities:

• Designed the parametric generation system: After users input information such as birth date, astrolabe, and emotional state, the AI large model conducts numerological analysis to generate personalized parameters that drive color, form, and light effects, ultimately producing unique planar patterns and achieving the precise conversion of "personal data - artistic symbols";

• Built the full-link interaction logic: From user information input, numerological analysis generation, parameter impact setting, to pattern generation and multi-scenario applications (wallpaper, tattoo stickers, 3D immersive space interaction), constructed a complete and smooth user experience process, making personalized creation implementable, interactive, and reusable;

• Promoted interdisciplinary technology integration: Collaborated with algorithm, design, and user experience teams to tackle technical challenges such as numerological parameter mapping, pattern style consistency, and multimodal interaction adaptation. The 成果 became a benchmark case of the challenge camp, providing a replicable methodology for AIGC-driven personalized interaction design.