User experience design for Green IT products through wearable computing and Quantified Self

Abstract

Green IT products collect personal small data by wearable computing and Quantified Self, Internet of Things (IoT) and Internet of Everything (IoE) link the small data with the big data, and transform the user experience from User-Centered Design (UCD) into User Participated (Involved or engagement) Design (UPD). To collect the seamless and sustainable UPD small data, we use the wearable computing sensors and applications for small data mining, filter, information visualization and interaction design. By information sorting the wearable computing into five types (in me, on me, with me, around me, beyond me), we intend to design the user experience in a sustainable way by Quantified Self. With the context awareness, conscious awareness and emotion awareness, we use LBS (location-based service) to construct context awareness, set up big five personalities and Enneagram to deal with the data of conscious awareness. For the Green IT Products, we set up the eco system information architecture and agile interaction model for the user experience design, we also use pre-conscious, subconscious and conscious awareness big data to analyze and predict the long-term impaction factors for the user experience and users’ intuitive interaction. From the strategy level, structure level, framework level and visual level, we point out the Meaning-Centered Design methodology to dig out the user experience design for the Green IT Products, green and live information architecture for the life cycle evaluation for the Green IT products, figure out the stakeholder and interaction logic moving line by mapping the mental model for the diversified users’ agile transformation needs, emotions and interaction feedback, provide the mass customization and crowds innovation contents to support the Green IT products and Product Service System (PSS), modify the quality of the real physical products and enrich the virtual reality digital information contents to prolong the life cycle of the Green IT Products. By decreasing the carbon footprint and increasing the three flows (information flow, logistics, financial flow) chain touchpoints, we find the painpoints and design the good user experience for the real people. We construct the user engagement innovation platform and transform the users’ function with duality role player with user and designer. For the evaluation of the user experience, we change the scenario role player design into ‘real design for real people’, and with the agile interaction and intuitive interaction, we modify the user experience with the real time high-fidelity prototype and iterative usability testing. In the pilot study, we design the smart clothes and interactive stage, props to collect the dancer’s small data about the heart-beat, EMG, EEG, motion, body gesture, emotion and the audience feedback such as the sound of clapping, the environment light change, the audience moving line and the air smog haze index. We use the module and separate design for the clothes and sensors, memory metal, fiber-optical to balance the clothes light change, clothes form transformation and small data visualization. On the one hand, the clothes can collect the dancer’s action data in an active way, at the same time, the clothes also interact with the dancer, the audience and the stage environment to support the digital contents of the dance. One clothes can express the five scenes of the dance in a sustainable way. And because of the separate design, the clothes and the sensors play the role in a parallel way to leave the dancer plenty of free uncertainty expression space. That win-win design support the real and virtual parts life cycle for the Green IT Products. We use the expert review, heuristic evaluation, big data visual analytics and usability testing for the user experience design evaluation and design the third version for the smart clothes and interactive stage.