R8SpecialB03

        R8 TOKUBETSU B03 | Rivers Lab |

        Regulation Behaviour in Discretized Human–Machine Systems

This live research dashboard documents an ongoing field-based study of cadence regulation, gear selection, cassette configuration and human–machine coordination across repeated road and off-road Strava segment environments. The project examines how different drivetrain configurations — including variations in cassette range, sprocket spacing, chainring size and wheel–tyre systems — shape rider behaviour, pedalling strategy and mechanical adaptation under changing environmental loads. By repeatedly traversing fixed ecological segments under controlled yet naturally variable conditions, the research investigates how riders regulate cadence and power output in response to gradients, surface type, rolling resistance, fatigue, terrain transitions, wind exposure and traction demands. Particular attention is given to how wide-range gravel cassettes, tighter road-oriented cassette structures and mixed-terrain drivetrain systems influence shifting behaviour, cadence stability, torque production and broader patterns of human–machine performance regulation over time.

I investigate human behaviour and decision-making through data-driven model-based approaches that draw from educational psychology,
cognitive science and human–machine interaction. I analyse how constraint structures behaviour, how behaviour is adapted
over time and how these processes generate measurable outcomes within complex systems.

Future University Hakodate | School of Systems Information Science | Center for Meta-Learning | Professor | Damian Rivers MSc MA PhD

All content, research materials, visualizations, text and associated media presented on this website are the intellectual property of the author and may not be reproduced, distributed or reused without permission. While every effort has been made to ensure accuracy, all errors, omissions and interpretations remain the responsibility of the author. © Damian Rivers.