Contemporaries suffer from more stress and emotional difficulties, but developing practices that allow them to manage and become aware of emotional states has been a challenge. MindTerior is a mental health care game developed for people who occasionally experience mild emotional difficulties. The game contains four mechanisms: measuring players’ emotional state, providing game activities that help mitigate certain negative emotions, visualizing players’ emotional state and letting players cultivate the game space with customizable items, and completing game events that educate players on how to cope with certain negative emotions. This set of gameplays can allow players to experience effective positive emotional relaxation and to perform gamified mental health care activities. Playtest showed that projecting players’ emotional state to a virtual game space is helpful for players to be conscious of their emotional state, and playing gamified activities is helpful for mental health care. Additionally, the game motivated players to practice the equivalent activities in real life.

Visible greenery is widely considered beneficial in urban design, but it is less clear whether adding more greenery to the same view always improves restorative appraisal. This study tested that question using matched three-dimensional scenes. Nine Field photographs from three urban sites were used to construct nine Modeled reference scenes, each edited into Reduced and Added scenes. A total of 114 participants evaluated 27 rendered scenes for perceived restorativeness, Perceived Sensory Dimensions, and scene preference, while panoptic segmentation quantified visual composition. Reduced scenes received lower perceived-restorativeness ratings (b = −0.278, p < 0.001) and preference ratings (b = −0.289, p = 0.006) than Modeled reference scenes. Added scenes did not reliably improve either outcome. Importantly, the manipulations changed the whole visible composition rather than vegetation pixels alone: Added scenes increased Nature and Rich in species but reduced Prospect, visible sky, and built features. Effects also varied across sites and viewpoints. These findings do not imply that adding vegetation is ineffective. Instead, they show that the restorative value of additional greenery depends on how it reconfigures the broader scene. The matched-scene approach provides a pre-implementation method for comparing greenery changes within a specific urban view.

This paper aims at building a knowledge-based system of smart mirrors for the cosmetic industry. In order to better understand hair and cosmetic experts, we first conduct interviews for knowledge acquisition. Then, we obtain insights from each category of answers collected from expert interviews. To design this knowledge-based system, we define concepts, main tasks and subtasks in order to extract rules to design the system. This system can suggest hairstyles and make-up colors by considering users’ face shapes and their personal colors.