We present a visualization system that computes amplitude spectrum slopes from street-level imagery and visualizes their variation, allowing users to perceive parametric density in urban canyons. The system provides a pipeline for spatial analysis via three-dimensional heatmap rendering. Giving street-view image samples as input, it extracts a sequence of spectral slopes, mapping these values back onto geographical coordinates using AMap (Gaode). In the visualization, the height and color of three-dimensional meshes jointly encode the slope values of the amplitude spectrum, which have been associated with visual perception and comfort in prior work. This system helps users quickly interpret how the slopes of amplitude spectra vary across streets at the city scale, providing an interpretable proxy to support exploratory assessment in urban analytics and design.

Sharing with others can play a vital role in helping to cope with stress and emotional burdens. Biofeedback systems have been growing in HCI as supportive of individual stress management; however, the potential of leveraging neurofeedback systems for embodied forms of interpersonal stress sharing remains unexplored. We present Minus × Minus=Plus, an interactive system that externalizes collective neural activity to create a shared affective space. The system allows two participants to visualize their stress in real time via Electroencephalography (EEG) and to jointly transform it through two forms of haptic interaction. The system was tested with 110 participants (55 pairs), and their experience of embodied stress sharing was evaluated. Results show that our system significantly promoted the sharing process, underscoring the central role of visual and haptic modalities. This work contributes empirical evidence and design insights for developing neurofeedback systems that foster interpersonal stress sharing and support mental health.

This study aims to explore human perceptions towards a robotic biofeedback system designed to support emotion regulation for non-clinical populations. We developed and implemented a robot-based emotion regulation system driven by breathing and heartbeat signals. Unlike traditional screen-based or wearable biofeedback systems, the proposed system employs an embodied robot to deliver perceivable biofeedback, enabling users to become aware of their physiological states and actively regulate them in a more natural and immersive way. Through this mechanism, users’ internal physiological signals are externalized and embodied as expressive responses, fostering a self-empowering experience of emotion regulation. Furthermore, this study investigates how the robot’s appearance influences users’ perceptions and acceptance to evaluate whether robotic embodied biofeedback can serve as a medium that enhances user engagement and psychological connectedness in emotion regulation processes.

Stress-tracking technologies based on physiological data have been widely used to promote self-awareness, yet most of them remain focused on the individual self. In this context, digitally shared stress data to foster empathy and peer support has proved to be effective in supporting everyday stress management; however, lots remain unexplored about tangible forms of stress sharing. This work presents a first iteration of a tangible prototype that enables real-time sharing with a remote peer of stress levels inferred from Heart Rate Variability (HRV) data, and mediates stress management through peer feedback. We invited 16 participants grouped into pairs; each pair interacted with the prototype and participated in semi-structured interviews. Preliminary findings reveal that the device can shift users’ attention away from stressful events and self-focused awareness toward their peers’ caring responses. This work extends the application of stress-tracking technologies from individual self-management towards mediated forms of peer support.