Research from PhD candidate, Kanishka Dandeniya, explores how digital systems can move beyond basic personalisation to deliver truly personalised experiences.
“Traditional personalisation relies on static rules that results in a one-size-fits-all experience,” he explains. “The aim of hyperpersonalisation is to provide a tailored journey that evolves in real time based on changing user behaviours, contexts and goals.”
To achieve this, Kanishka developed the Zero-Shot to Head-Shot (Z2H2) AI-driven framework, a three-stage system that gradually builds a deeper, evolving understanding of the user beyond a single online session.
“Rather than relying on limited initial data, the Z2H2 framework integrates multiple forms of information to create a hyperpersonalised experience,” he says.
Early testing in an online learning environment delivered promising results.
“We were able to demonstrate how to maintain a persistent and evolving understanding of the user by transitioning from session-bound interactions to an objective-driven, lifelong user representation,” he says.
The next phase of Kanishka’s research will focus on refining user models and testing the framework on industry platforms.
Kanishka is currently collaborating with Industry PhD partner, Core dna, to validate his research.
“Personalisation needs to be adaptive, not static, and Kanishka’s Z2H2 approach is a practical step toward that kind of real time, evolving user experience,” said Sam Saltis, CEO of Core dna.
“We’re excited to partner on translating this research into deployable capability that creates measurable impact for users and organisations.”
