绿色IT可持续设计理念下基于量化自我的智能服装交互设计

目的智能服装通过可穿戴计算和量化自我的方式收集个体小数据,物联网(Io T)和万联网(Io E)将小数据和大数据相连接,将用户体验从以用户为中心的设计(UCD)向用户参与式设计(UPD)转化,形成绿色IT的可持续设计。方法采用用户参与式设计的方法,利用嵌入在智能服装中的传感器收集穿衣者的身体量化自我的个人小数据,并进行信息可视化和交互设计。通过情境感知、意识感知和情感感知,建立信息架构和敏捷交互模型,提出以意义为中心的交互设计方法。通过映射心智模型,发掘利益相关者和交互逻辑动线。通过敏捷交互和直觉交互的实时高保真原型进行迭代式的可用性测试。结论人工智能能够应用于交互设计,将情境角色设计转变为"为真实的用户做真实的设计",提出了基于小数据量化自我的绿色IT可持续设计理念指导下的参与式交互设计方法。

Interaction Design of Smart Clothing Based on Quantified Self under the Concept of Green IT Design for Sustainability

The smart clothing uses the wearable computing and quantified self to collect personal small data, and depends on IoT and IoE to connect the small data with the big data, the user experience design transforms the User-Centered Design(UCD) into User Participated Design(UPD) under the perspective of green IT design for sustainability. It uses the UPD to do the information visualization and interaction design based on small data which collected and stored by the sensors embedded in the smart clothing. The design research proposes the meaning-centered design method to build the information architecture and agile interaction model. Through the mental model mapping, the design digs out the stakeholder and interactive logic flow and behavior pattern, and performs the high fidelity prototype iterative usability testing through agile interaction and instinct interaction to modify the design results. It explores the possibility of Artificial Intelligence to interaction design and transforms the personas scenario simulation into "Real Design for Real People", and proves the UPD interaction design method based on small data quantified self with the green IT sustainable design manifesto.