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Visualizing the Daily Physical Activities and Nutrition Information of High School Athletes

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Information Technology and Systems (ICITS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 918))

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Abstract

Tracking food intake, sleep, and physical activity, then generating consolidated peer visual reports for participants in large-scale health studies, can be challenging. This paper presents an integrated health study dashboard that enables scientists to conduct large-scale field studies involving hundreds of subjects organized into dozens of treatment groups, including the collection and analysis of data from devices and surveys. The system also provides a feature for the scientist to perform bulk processing and editing of subject demographic information, as well as to generate health reports. The system was used in six rounds of reports for 750 high school students. A preliminary qualitative evaluation was conducted with the user responsible for generating those reports for all the students, as well as five other graduate students who could use the system for other field studies in health science. Their answers revealed that the system was considered both usable and effective.

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Author information

Authors and Affiliations

  1. Oregon State University, Corvallis, OR, 97330, USA

    Rahul Patel & Chris Scaffidi

Authors
  1. Rahul Patel
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  2. Chris Scaffidi
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Corresponding author

Correspondence to Chris Scaffidi .

Editor information

Editors and Affiliations

  1. DEI/FCT, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. Facultad de Geografía, Universidad de Santiago de Compostela, Santiago Compostela, La Coruña, Spain

    Carlos Ferrás

  3. Departamento de Eléctrica, Electrónica y Telecomunicaciones, Universidad de las Fuerzas Armadas “ESPE”, Sangolqui, Ecuador

    Manolo Paredes

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Patel, R., Scaffidi, C. (2019). Visualizing the Daily Physical Activities and Nutrition Information of High School Athletes. In: Rocha, Á., Ferrás, C., Paredes, M. (eds) Information Technology and Systems. ICITS 2019. Advances in Intelligent Systems and Computing, vol 918. Springer, Cham. https://doi.org/10.1007/978-3-030-11890-7_66

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