MaraVis: Representation and Coordinated Intervention of Medical Encounters in Urban Marathon

Quan Li, Huanbin Lin, Xiguang Wei, Yangkun Huang, Lixin Fan, Jian Du, Xiaojuan Ma, Tianjian Chen

MaraVis, a real-time urban marathon visualization system that supports better represen- tation and coordinated intervention of medical encounters, optimizing the usage of massive marathon data streams. The system contains four coordinated views: (1) a marathon overview, (2) an anomaly detection view, (3) a camera shot view, and (4) an HRV inspection view.

Description

There is an increased use of Internet-of-Things and wearable sensing devices in the urban marathon to ensure an effective response to unforeseen medical needs. However, the massive amount of real-time, heterogeneous movement and psychological data of runners impose great challenges on prompt medical incident analysis and intervention. Conventional approaches compile such data into one dashboard visualization to facilitate rapid data absorption but fail to support joint decision-making and operations in medical encounters. In this paper, we present MaraVis, a real-time urban marathon visualization and coordinated intervention system. It first visually summarizes real-time marathon data to facilitate the detection and exploration of possible anomalous events. Then, it calculates an optimal camera route with an arrangement of shots to guide offline effort to catch these events in time with a smooth view transition. We conduct a within-subjects study with two baseline systems to assess the efficacy of MaraVis.

Materials

Paper Video

Citation

MaraVis: Representation and Coordinated Intervention of Medical Encounters in Urban Marathon. Quan Li, Huanbin Lin, Xiguang Wei, Yangkun Huang, Lixin Fan, Jian Du, Xiaojuan Ma, and Tianjian Chen. ACM Conference on Human Factors in Computing Systems (CHI). Honolulu, HI, USA, 2020.

BibTeX

@inproceedings{li2020maravis,
     title={MaraVis: Representation and Coordinated Intervention of Medical Encounters in Urban Marathon},
    author={Quan, Li and Huanbin, Lin and Xiguang, Wei and Yangkun, Huang and Lixin, Fan and Jian, Du and Xiaojuan, Ma and Tianjian, Chen},
    booktitle={Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},
    year={2020},
    organization={ACM}
}