2016 20th International Conference Information Visualisation (IV) (2016)
July 19, 2016 to July 22, 2016
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IV.2016.34
While quantified-self applications and wearable sensors for running, cycling or strength training are receiving broad interest from science and industry, little attention has been paid to the increasingly popular climbing sport, so far. To fill this gap, specialized wrist-worn sensor devices for tracking climbers have been developed recently. To support climbers and make the best of the available sensor data use possible, we designed a set of interactive visual interfaces which provide detailed insights into training data and support self-assessments of various aspects of the climbing technique. Our approach consists of a mobile web application to be used during the training and a desktop tool for presentation and analysis. In our design study we conducted semi-structured interviews with climbers, developed a scenario-based prototype in D3.js and evaluated our prototype. The initial interviews, a formative expert review and a summative usability study indicate the importance of providing manual input possibilities in addition to the automatically detected data and visualization techniques showing an overview of their training data. The findings of this design study provide an understanding of how climbers will interact with quantified-self applications and what the individual requirements for such a system are.
Data visualization, Training, Tracking, Interviews, Mobile communication, Sensors
C. Niederer, A. Rind and W. Aigner, "Multi-device Visualisation Design for Climbing Self-Assessment," 2016 20th International Conference Information Visualisation (IV), Lisbon, Portugal, 2016, pp. 171-176.