UMA-P: Smart bike interaction that adapts to environment, user habits and companions

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Abstract

In modern transportation system, biking with smart bikes will be a flexible and environmental friendly option for over-crowded mega cities. Aiming at making the biking experience with smart bikes more attractive we create a playful smart bike light UMA-P that forms its own light interaction mode with the metaphor of personality. UMA-P will collect data of the biking condition and perform certain sets of light animations. With the help of UMA-P users are expected to see their smart bikes as a pet that reacts to their biking behavior, biking environment and other smart bikes nearby. A pilot user test is conducted and an increase in acceptance of smart bikes is observed. Our exploration will benefit the human-computer interaction community in designing playful interaction on future transportation which adapts to user behavior and environment.

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Du, J., Luo, R., Zou, M., Shen, Y., & Yang, Y. (2018). UMA-P: Smart bike interaction that adapts to environment, user habits and companions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10921 LNCS, pp. 223–231). Springer Verlag. https://doi.org/10.1007/978-3-319-91125-0_19

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