以生成式 AI（AIGC）線稿創作優化兒童相機之人機互動：提升創作體驗與商業價值之研究

Abstract

本研究針對兒童數位相機「功能單一、黏著度低」之產業痛點，導入生成式 AI（AIGC）線稿創作優化人機互動，並以實際回收之 N=200 量化數據（SurveyCake 線上問卷）驗證研究架構，獲致三項主要結論。第一，在互動體驗上，AI 線稿著色將單向的拍照紀錄轉化為「捕捉—列印—著色—展示」之創作循環，創作體驗（CE）成為購買意願最強之預測因子，有助於延長產品使用生命週期。第二，在教育心理上，線稿著色創作有助於發揮「教育支架」作用，教育價值（EV）獲家長高度認同，滿足其對啟蒙工具之期待。第三，在商業價值上，受測家長對 AI 加值相機之可接受價格較傳統相機平均提升逾七成，並透過創作互動帶動熱感紙耗材之持續回購，形成「硬體溢價＋耗材循環」之雙引擎商業模式。

研究採行 HCI 實驗與問卷調查法驗證成效。研究結果顯示：

1.強化探索與創作感：AI 轉化功能有效降低創作門檻，將單向的拍照紀錄轉化為「捕捉、列印、著色」的雙向互動循環，有助於延長產品生命週期。 2.教育價值認同：線稿著色創作有助於發揮「教育支架」作用，獲得家長對啟蒙工具之認同。 3.商模轉型與溢價：受測家長對 AI 加值相機之可接受價格顯著高於傳統相機（平均提升逾七成），並透過「著色需求」帶動熱感紙耗材之持續性回購，據以建立「硬體＋軟體＋耗材」之循環商模。

本研究結合技術實踐與商學分析，為兒童教育硬體產業在 AI 浪潮下的產品創新與轉型策略提供實務指引。

This study addresses the critical industrial pain points of “limited functionality” and “low user stickiness” in conventional children’s digital cameras by integrating Generative AI (AIGC) to optimize Human-Computer Interaction (HCI). Focusing on the product transformation of NovaPlus (LeChing Tech), the research develops a “Cloud-Edge Hybrid” software architecture that leverages cloud computing to overcome hardware constraints, enabling its core AI-driven feature: AIGC line-art creation, which converts children’s own photographs into high-contrast sketches for thermal printing and hands-on coloring. Real-time image recognition is positioned as an optional extension feature, rather than a focus of the empirical validation in this study.

The research employs a combination of HCI experimental observation and quantitative surveys to validate its effectiveness. Key findings indicate that:

1.Enhanced Creativity and Exploration: The AI transformation lowers the barrier to artistic creation, shifting the user experience from a one-way recording process to a two-way "Capture-Print-Color" interactive loop, thereby helping to extend the product’s life cycle. 2.Educational Value: The line-art coloring creation helps serve as an “Educational Scaffolding” tool, supporting parents’ expectations for aesthetic enlightenment and hands-on creation. 3.Business Model Innovation: Surveyed parents’ acceptable price for the AI-enhanced camera was, on average, over 70% higher than for a conventional camera, and the demand for coloring is expected to drive recurring purchases of thermal paper, supporting a competitive “hardware + software + consumables” model.

By synthesizing technical implementation with business analysis, this study provides a strategic roadmap for the digital transformation and product innovation of the children’s educational hardware industry in the era of Generative AI.