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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: they operate through us, reconfiguring culture, emotion, and meaning from within.
Phenomenology: How Technology Appears
Mapping the sensory patterns of algorithmic rhythms and how they shape attention, imagination, and daily experience.
Praxis: How We Act / Intervene
Designing reflective AI systems that function as partners in emotional grounding, symbolic insight, and relational attunement.
