Through your eyes
A robot that mirrors how we interpret others through our own biased social lens
Meet a robot that reads social cues through radar and gaze tracking, reacting to perceived behavior. A live visualization reveals its reasoning, mirroring how cognitive biases shape interaction. This platform could explores human-robot interaction from multiple perspectives: first-person, third-person, each with different interpretations. Like our subjective views of others, there's no single objective truth. It invites reflection of how humans and machines construct meaning from ambiguous signals, and the invisible lenses through which we judge ourselves and others.
Project conducted for the Master Thesis
Duration: 5 months
Designer: Hanna Loschacoff
Technology:
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ESP32 microcontroller + 24 GHz radar sensor (serial communication)
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Servo motor control (physical shape-changing response)
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Node.js WebSocket server (real-time browser ↔ hardware communication)
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WebGazer.js (open-source browser-based gaze tracking)
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HTML + JavaScript (React Framework, data processing & real-time visualization)
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Local hosting via Live Server (VS Code)
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Privacy: fully local, ephemeral, no data persistence
Final design
Final interaction loop
Final stand
Data pipeline
Process
Methodology: Research through Design
Making logs of integrating sensing (gaze and radar)
Designing live visualization
Ideating interaction loop
Interaction loop evolution
Designing and building the integrated aluminium stand
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Form exploration
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