Online clothing shopping is getting popular. However, it is challenging for BLV users as they need to imagine the clothes on themselves based on limited information. To enhance the accessibility of online shopping, we first conducted a formative study to understand BLV users' current practices and challenges in online clothing shopping. Based on the findings, we built TailoredVision, an innovative system that integrates Generative Artificial Intelligence (GenAI) with human crowdsourcing feedback. TailoredVision employs virtual try-on technology to generate integrated images from users' full-body images and their selected clothing items. The system then analyzes these images, providing comprehensive feedback about the suitability of clothing for their style, while the crowdsourcing element offers objective ratings. Our user study indicated that TailoredVision not only empowers BLV users with greater independence but also enhances their overall shopping satisfaction.

Recognizing emotions in children is challenging, particularly in child-centered design, as traditional self-report measures often fail to capture children's true emotional states. To address this deficit, we conducted a formative study to examine the accuracy of color-emotion associations and the effectiveness of auxiliary tools in supporting emotional expression. We explore the possibility of detecting children's emotion through their use of color in drawings, utilizing expressive arts therapy techniques. To do this, we curate a child-centered emotion-color dataset and perform assisted analysis to depict how children visually express emotions through color drawings. Afterwards, we proposed an application for caregivers to effectively perceive children’s emotions and conducted child-centered research to evaluate its effectiveness. Our analysis highlight the potential of integrating emotional detection tools into educational and psychological settings, facilitating early emotional recognition and intervention for children.

With the development of the Mixed Reality (MR) industry in recent years and the increasing number of VR users, the demand for large-scale production of immersive and expressive Visual Reality (VR) scenes has been driven, and it is used to enhance teaching concentration due to its immersive nature. In the mindfulness meditation therapy of VR technology, some meditation images used are not accurate enough and not combined with the real environment, so the user experience is not high.

This study pioneers a participatory approach to urban renewal, prioritizing the intrica- cies of urban fabric and spatial design to meet the evolving needs of the community. It focuses on the ambitious transformation of Ziyang Street’s farmers market into a dynamic community plaza in Hangzhou, emphasizing direct engagement with local residents to understand their diverse aspirations for the redevelopment.

Traditional art forms often fail to engage modern audiences seeking interactive experiences. "Digital Mustard Garden" bridges this gap by integrating traditional techniques from The Mustard Seed Garden Manual of Painting with digital technology. We trained and fine-tuned a model using the Mustard Seed Garden painting manual, which is then embedded in the installation's design to facilitate interaction.