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Co-Operative Design of a Coach Dashboard for Training Monitoring and Feedback.

Jos F A GoudsmitRuby T A OtterInge StoterBerry J van HollandStephan van der ZwaardJohan de JongSteven B Vos
Published in: Sensors (Basel, Switzerland) (2022)
Athlete development depends on many factors that need to be balanced by the coach. The amount of data collected grows with the development of sensor technology. To make data-informed decisions for training prescription of their athletes, coaches could be supported by feedback through a coach dashboard. The aim of this paper is to describe the design of a coach dashboard based on scientific knowledge, user requirements, and (sensor) data to support decision making of coaches for athlete development in cyclic sports. The design process involved collaboration with coaches, embedded scientists, researchers, and IT professionals. A classic design thinking process was used to structure the research activities in five phases: empathise, define, ideate, prototype, and test phases. To understand the user requirements of coaches, a survey ( n = 38), interviews ( n = 8) and focus-group sessions ( n = 4) were held. Design principles were adopted into mock-ups, prototypes, and the final coach dashboard. Designing a coach dashboard using the co-operative research design helped to gain deep insights into the specific user requirements of coaches in their daily training practice. Integrating these requirements, scientific knowledge, and functionalities in the final coach dashboard allows the coach to make data-informed decisions on training prescription and optimise athlete development.
Keyphrases
  • electronic health record
  • healthcare
  • big data
  • decision making
  • virtual reality
  • machine learning
  • artificial intelligence
  • quality improvement