Ena, the EEG-Bike

We present “Ena, the eBike”, a novel EEG-supported eBike system that draws from the user’s neural activity to determine when the cyclist is in a state of peripheral awareness to regulate engine support as a way to make cycling more “fun” and safer.

Changes to the field of view in peripheral awareness have been linked with the quality of human performance: the instinctive narrowing of vision that occurs as a threat is perceived (such as a car cutting the cyclist off) has implications in activities that benefit from the user having a wide field of view, such as cycling to navigate the environment. A study revealed that peripheral awareness as a neurological state is viable to align human-machine integration with internal bodily processes, resulting also in insights how designers can use peripheral awareness as a neurological state for real-time human-computer integration, where the human is assisted by a computer to interact with the world.

Overall, our work around Ena, the eBike, suggests that eBikes can be better designed to facilitate a safer and
more enjoyable experience. Furthermore, the, for us, stand for a future where man and machine more tightly integrate, resulting in a human-computer integration experience.

See also our other eBike work: Ava, the eBike and Ari, the green-light eBike.


Andres, J., Schraefel, M.C., Semertzidis, N., Dwivedi, B., Kulwe, Y., von Kaenel, J., Mueller, F. Introducing Peripheral Awareness as a Neurological State for Human-Computer Integration. CHI 2020. Long paper. ACM. Video.


We thank the participants, reviewers and colleagues who have all helped improve the work. The Exertion Games Lab appreciates and acknowledges the support of the School of Design at RMIT University.