Performative Space, Embodiment, and Place in Emerging Digital Environments

This PhD explores how emerging digital technologies are transforming the relationship between: the human body space place in immersive and performative environments. Current digital systems often: treat “place” as static ignore the physical and emotional experience of users This project challenges that by designing interactive, intelligent systems that: respond to the audience and performer in real time actively shape digital environments treat space as alive and dynamic The core idea is to build a performative system (AI-driven agent) that: interprets human states adapts the environment accordingly Research Focus The project may explore: real-time interpretation of: physiological signals neural activity emotional/affective states creation of environments that: respond to movement react to proximity evolve based on audience interaction Possible Research Questions How can neuro-physiological signals enhance live performance? Can digital environments reshape performer–audience interaction? How can “liveness” be preserved in tech-driven performances? What happens when neuroscience meets creative practice? Practice-Based Methods You may work on: interactive installations immersive performances AI-driven visual and sound systems biofeedback-based environments Technologies may include: motion capture wearable neuroimaging (fNIRS) physiological sensors generative AI systems Industry Collaboration Partner: Artinis Medical Systems Access to: advanced neuroimaging tools (Brite MKII fNIRS systems) real-time brain and physiological data systems Research Environment Creative Computing Institute (CCI) Nerve Lab (advanced perception & neuroscience lab) Focus areas: perception and attention human-computer interaction embodied cognition immersive media

Academic Requirements:

Strong degree (2:1 or equivalent) in:
Computer Science
Digital Arts
Human-Computer Interaction
Design
or related field

Preferred Experience:

creative coding / generative art
performance or interactive design
AI / machine learning
HCI or UX
working with sensors or real-time systems

Academic Requirements:

Strong degree (2:1 or equivalent) in:
Computer Science
Digital Arts
Human-Computer Interaction
Design
or related field

Preferred Experience:

creative coding / generative art
performance or interactive design
AI / machine learning
HCI or UX
working with sensors or real-time systems