基于人工智能生成内容技术的数字纪念平台服务设计与运营策略研究——以“星寰”网站为例

Research on the Service Design and Operation Strategy of Digital Memorial Platforms Based on Artificial Intelligence Generated Content Technology—A Case Study of the “Xinghuan” Website

摘要: 当前社会大众死亡焦虑加剧，传统殡葬服务在可及性与人文关怀上存在短板。为满足用户长效情感联结的需求，本研究融合AIGC与情感计算技术，基于380份有效问卷，以持续性联结理论与情感化设计理论为支撑，通过“需求洞察 → 理论建模 → 架构设计 → 功能实现”的路径，开发了“星寰”数字纪念网站。研究提出“隐私保护为底线、情感陪伴为核心、分层运营为策略”的服务设计逻辑，可为数字哀伤服务产品的设计与实践提供参考。

Abstract: Currently, public death anxiety is intensifying, and traditional funeral services exhibit notable deficiencies in accessibility and humanistic care. To address users’ need for long-term emotional connection, this study integrates AIGC and affective computing technologies. Supported by the continuing bonds theory and emotional design theory, it adopts a research path of “need insight → theoretical modeling → architecture design → function implementation” based on 380 valid questionnaires, and develops the “Xinghuan” digital memorial website. The study proposes a service design logic of “privacy protection as the bottom line, emotional companionship as the core, and tiered operation as the strategy”, offering a practical reference for the design and application of digital grief service products.