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Research
Reflective Intelligence
Po-Yao Wu's research investigates how computational systems shape experience at emotional, perceptual, and symbolic levels. Growing up in Taiwan’s high-velocity semiconductor culture, Wu came to understand technology not only as machinery but as an affective atmosphere—one that subtly reorganizes how bodies feel, attend, and make meaning. This recognition guides Wu's central question: How might we design AI systems that deepen awareness rather than accelerate fragmentation?
Wu calls this orientation Reflective Intelligence—a paradigm of human–AI interaction that prioritizes attunement over optimization, symbolic resonance over prediction, and relational clarity over behavioral steering.
# Techno-Trauma
# Affective Technological Ecology
# Reflective Intelligence
# Emotional Coherence
# AI–HCI as Self-Awareness Mirror
Ontology — What Technology Is
Understanding computational systems as material–affective ecologies that reconfigure culture, emotion, and meaning from within.
Phenomenology — How Technology Appears
Mapping the sensory and symbolic imprints of algorithmic rhythms—how they shape attention, imagination, and inner life.
Praxis — How We Act / Intervene
Designing reflective AI systems that function as partners in emotional grounding, symbolic insight, and relational attunement.
