AI is evolving faster than we imagined, quietly transforming everyday life. This year, MODA presented "AI Living Lab" to show the public that AI isn't a distant technology—it's an everyday companion woven into our daily routines. But here was the challenge: How do we make people tangibly feel AI's deep connection with daily life?
An AI Experiment You Can Ride Into
We chose something everyone knows—riding a bicycle—as the perfect bridge between technology and everyday life. When visitors mounted our custom bikes and turned the handlebars to choose their route, they began exploring a virtual city. Along the way, they encountered questions like: "Hop on—where do you want to start your journey?" "Where do you usually go?" "Turn a corner—how do you normally use AI?" "Waiting at a red light—how do you hope AI can make life smarter?" "Finally, look up at the sky—how are you feeling today?" These seemingly simple questions cleverly connected diverse AI application scenarios in daily life: from commute routes and daily habits to emotional awareness—all aspects where AI is already part of our lives.
After completing the ride, AI instantly analyzed each person's pedaling speed, route choices, and answers to generate a unique, personalized soundtrack, printed on-site as a cassette postcard—turning the experience into a takeable memory.
Riding Into Resonance
Over four days, more than a thousand people tried the experience, with many coming back for multiple rides. One kid pedaled at record speed, generating an intense electronic dance track. These genuine interactions showed us something important: AI applications don't need to be complex or obscure. When technology learns to listen to each person's rhythm, every moment of life can become a soundtrack worth keeping.
主辦單位 Organizer｜數位發展部數位產業署 Administration for Digital Industries, MODA
執行單位 Execution｜台北電腦同業公會 Taipei Computer Association
專案管理 Project Management｜陳軍宇 Zun Yu Tan
內容企劃 Content Strategy｜李立琪 Chi Li、黃香綺 Kiki Huang
視覺設計 Visual Design ｜呂淑雅 Zuiea Lu
動態影像設計 Dynamic image design｜張偉廷 Aaron Chang、謝國揚 Argo Heish
AI 音樂開發及訓練｜黃韜云 Bernie Huang
程式整合暨開發 Programming and Development｜陳力瑋 David Chen、黃韜云 Bernie Huang