PRIORITY APPLICATION PERIOD FOR FALL 2027: OCTOBER 1 – NOVEMBER 30, 2026
Theses & ResearchClass of 2022
voice interactionemotional designsmart environmentslightingwellbeing

LuVoTem

Voice-controlled lighting that adapts to your emotional state.

Focus: Emotionally Responsive Environments

LuVoTem installation — ambient lighting responding to voice
LuVoTem prototype installation, IxDIA Studio, 2022
Designers
  • Lynn Green
  • Fengping Xiong
Faculty AdvisorProf. Josette Melchor
Year2022

Video Trailer

LuVoTem — Thesis Trailer

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Abstract

LuVoTem (Luminescence–Voice–Temperature) is an emotionally responsive environment that bridges human affect and physical space. The installation listens to the user's voice—analyzing pitch, cadence, and volume—and translates those qualities into corresponding lighting color, intensity, and temperature.

The project asks: what if your environment could listen? By making the emotional content of speech visible as light, LuVoTem creates a feedback loop between internal states and the built world. Spaces become sympathetic rather than neutral.

Design Challenge

Modern environments are predominantly static. Lighting presets, standardized temperatures, and uniform surfaces treat all occupants as equivalent. LuVoTem challenges this assumption by making the environment an active participant in emotional regulation—drawing on research in chromotherapy, affective computing, and ambient interface design.

Technical Approach

The system uses a microphone array and a lightweight ML model trained to classify vocal affect across six dimensions. Classification results drive a DMX lighting controller linked to RGB LED panels, creating real-time color and intensity mappings. A supplemental thermal controller adjusts radiant heat output.

Outcomes

User testing across 20 participants showed measurable reductions in self-reported stress and increased sense of calm in the LuVoTem environment vs. a static control. The project was presented at the IxDIA Spring Exhibition 2022.

Process Documentation

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Download Written Thesis (PDF)

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