Oral health directly influences children's overall well-being, yet pervasive dental anxiety has become an unavoidable barrier to pediatric dental care.While behavior management proves more effective than environmental or equipment improvements in reducing pediatric dental anxiety while improving treatment understanding and oral health awareness, its time-intensive nature often conflicts with dentists' demanding workloads.Through formative research, we proposed a structured combination of behavior management techniques within dental waiting rooms, employing tangible interactions to create a comprehensive anxiety relief system for children aged 5-10 years.The system encompasses two core processes, dental caries treatment and caries prevention.We conducted the validation experiment and pilot study to refine the system.Then we deployed a user study involving 32 child-parent groups.The results demonstrated that the system effectively alleviates children's dental anxiety, prepares them for dental visits, promotes parent-child interaction, and supports children's participation.

Picky eating behavior is common in preschoolers and has been linked to a lack of food literacy with support from certain research. Recent research has focused on interventions for children’s mealtime behaviors which can lead to distraction and neglect of food literacy learning. We propose FeastyMaze, a tangible and multi-sensory interactive puzzle game for young children to improve eating behavior. With the Five-color Diet Theory, our approach enables children to actively learn about food nutrition and balanced diets. To evaluate the effectiveness and acceptability of FeastyMaze, we conducted a user study with preschoolers (N = 12) who exhibited picky eating behaviors. The results showed that it effectively increased children’s familiarity and understanding of food knowledge, built positive attitudes towards previously disliked foods, and had the potential to improve their eating behavior.

The advent of conductive thermoplastic filaments and multi-material 3D printing has made it feasible to create interactive 3D printed objects. Yet, challenges arise due to the volume constraints of desktop 3D printers and the high resistive characteristics of current conductive materials, making the fabrication of large-scale or highly conductive interactive objects can be daunting. We propose E-Joint, a novel fabrication pipeline for 3D printed objects utilizing mortise and tenon joint structures combined with a copper plating process. The segmented pieces and joint structures are customized in software along with integrated circuits. Then electroplate them for enhanced conductivity. We designed four distinct electrified joint structures in the experiment and evaluated the practical feasibility and effectiveness of fabricating pipes. By constructing three applications with those structures, we verified the usability of E-Joint in making large-scale interactive objects and showed the path to a more integrated future for manufacturing.

Quad-tree based Coding Unit structure in HEVC provides more motion compensation sizes to improve rate-distortion performance at the cost of greatly increased computational complexity. Different from other researches on fast algorithms, we develop an optimally complexity scalable multi-mode decision algorithm (OCSMD) for HEVC. There are two major contributions in this paper. The first one is a novel feature proposed to describe the relationship between MV field and CU depth. The second is that we build a cost-performance priority predicting model in frame level based on the feature with negligible overhead as well as no conflict with the standard. Our method may allocate computational resources to the MD of all the CUs in frame level under arbitrary complexity constraints, while obtaining nearly optimal coding performance. The experimental result shows that our algorithm can adjust complexity under varying computing capacity while achieving near-optimal R-D performance.