JoggAR is a mixed-modality AR approach for technology-augmented jogging. It combines wearable visual, audio, and sensing technology to create a persistent AR environment that enhances jogging and other exertion experiences, especially with varying attention intensities during the activity.

A key feature of JoggAR is its audio-first exploration method for 3D virtual spaces, designed to support exertion-focused activities without overloading the visual channel.

JoggAR

🔬 Project Members

  • Chek Tien Tan (UTS Games Studio)
  • Floyd Mueller (RMIT Exertion Games Lab)
  • Rich Byrne (RMIT Exertion Games Lab)
  • Simon Lui (SUTD Audio Research Lab)

🏆 Outputs

  • SIGGRAPH Asia 2015 – Mobile Graphics & Interactive Applications
    Tan, C. T., Byrne, R., Lui, S., Liu, W., & Mueller, F. (2015). JoggAR: A mixed-modality AR approach for technology-augmented jogging. In SIGGRAPH Asia 2015 Mobile Graphics and Interactive Applications (Article 33, 1 page). Association for Computing Machinery. https://doi.org/10.1145/2818427.2818434

  • CHI PLAY 2017
    Mueller, F. F., Tan, C. T., Byrne, R., & Jones, M. (2017). 13 Game Lenses for Designing Diverse Interactive Jogging Systems. In Proceedings of the Annual Symposium on Computer-Human Interaction in Play (pp. 43–56). Association for Computing Machinery. https://doi.org/10.1145/3116595.3116607

💡 Keywords

AR, Jogging, Exertion, Wearables, Audio-First Navigation, Game Design