Sea, Sense, and Melody - IoT sensor development
Project Description
The proposed project, Sea, Senses, and Melody, aims to create an environment-driven, generative, and interactive art experience related to HKUST’s natural surroundings. The goal is to encourage emotional sharing and empathy. The project will leverage a 3D virtual ecosystem where human users, as players, can engage in conversations with virtual beings driven by non-human data related to the sea near and around the campus.

In this experience, multi-sensory input from sensors placed on the HKUST main campus atrium balcony will drive an AI agent with its own virtual personality. This AI will generate moody poems and respond to users' emotional expressions, generate unique flowers and melody as response, which will be displayed on a large LED screen on campus. Instead of directly display user’s emotional expression, the proposed framework deals with it poetically and ambiguously, making the emotion sharing experience into a co-creation process between AI, environment and human.

This research aims to adapts a research-through-design, especially digital art-making.It is within the intersection of Human-Computer-Interaction(HCI), Interactive Digital artwork, social context of sustainability and emotional care, and humanity context of more-than-human. The applicant can learn and gain the ability to create interactive art using emerging AI technology, reflecting from a humanistic perspective on how art intervenes in public spaces. How can we use technological means to achieve AI, human, and environment co-created art that traditional methods cannot create.
Supervisor
BRAUD, Tristan Camille
Quota
5
Course type
UROP1000
UROP1100
UROP2100
UROP3100
UROP3200
UROP4100
Applicant's Roles
Applicant will be responsible for creating the IoT system based on the design brief. This includes establishing a server to receive data remotely transmitted from sensors. Tasks will involve the design and assembly of PCBs and sensors. Required components include a camera sensor, humidity sensor, Wi-Fi data transmission module, data processing chip, battery, and LED lights.
Applicant's Learning Objectives
- Implement IOT module in a complete project using knowledge from electrical engineering course.
- Address the challenges of data transmission and the scale required for real-world projects.
Complexity of the project
Moderate