This type-2 project explores the gamification of flow performance during knowledge work by leveraging biosensing artificial intelligence (AI) that effectively monitors human operators and nudges them towards healthy flow based on their internally hidden cognitive and affective states.
Members: Troy Weekes & Dustin Eirdosh
Flow is an enjoyable state of high performance when the awareness of the self and time is traded off for awareness of the task and situation. In this project, we provide a high-level overview of the Flow Choice Architecture (FCA) biosensing technology, which provides a novel neurofeedback solution that selectively nudges individual knowledge workers.
We outline a framework for specifying a variety of knowledge work scenarios then identify a suitable choice architecture of interventions for nudging individual knowledge workers into the flow state and enhancing their psychological flexibility. We visualize an interactive prototype of FCA that highlights the game elements and our multimodal user interface design philosophy. We demonstrate how FCA captures value in structured variables and abstracted real-time signals, which are supplemented with narrative explanations.
Our project concludes with a preliminary rationalization of relevant principles for usable and responsible AI that are implemented in FCA to build trust and reliability while mitigating dependence and addiction in the dyadic human-AI flow training relationship.