Practice Based Research
Practice-based research is a methodological framework that integrates creative or artistic practice with formal investigation into a specific subject or problem. Rather than treating artistic work and research as separate activities, this approach uses the act of making, creating, or practicing as the primary means of generating knowledge and understanding. It is particularly suited to exploring complex phenomena that may resist traditional empirical methods by embedding inquiry directly within the creative process itself.
In the domain of AI agents, this methodology facilitates the development of systems that interpret and generate data through aesthetic and experiential lenses. By combining artistic practice with investigation into dyslexia visualization, researchers can create agents that model cognitive diversity and non-linear information processing. This integration allows for the exploration of how AI can represent and interact with subjective human experiences that are often difficult to quantify through standard algorithmic metrics.
Kim Percy’s work exemplifies this intersection by utilizing practice-based research to examine the visualization of dyslexia. Her projects demonstrate how artistic inquiry can inform the design of AI agents that are sensitive to varied perceptual frameworks. This approach highlights the potential for creative practices to drive technical innovation, ensuring that AI systems are developed with a deeper understanding of human cognitive variance and accessibility needs.