Developing a Novel Citizen-Scientist Smartphone App for Collecting Behavioral and Affective Data from Children Populations

Christos Maramis; Ioannis Ioakimidis; Vassilis Kilintzis; Leandros Stefanopoulos; Eirini Lekka; Vasileios Papapanagiotou; Christos Diou; Anastasios Delopoulos; Penio Kassari; Evangelia Charmandari; Nikolaos Maglaveras

Wireless Mobile Communication and Healthcare. 8th EAI International Conference, MobiHealth 2019, Dublin, Ireland, November 14-15, 2019, Proceedings

Research Article

Developing a Novel Citizen-Scientist Smartphone App for Collecting Behavioral and Affective Data from Children Populations

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@INPROCEEDINGS{10.1007/978-3-030-49289-2_23,
    author={Christos Maramis and Ioannis Ioakimidis and Vassilis Kilintzis and Leandros Stefanopoulos and Eirini Lekka and Vasileios Papapanagiotou and Christos Diou and Anastasios Delopoulos and Penio Kassari and Evangelia Charmandari and Nikolaos Maglaveras},
    title={Developing a Novel Citizen-Scientist Smartphone App for Collecting Behavioral and Affective Data from Children Populations},
    proceedings={Wireless Mobile Communication and Healthcare. 8th  EAI International Conference, MobiHealth 2019, Dublin, Ireland, November 14-15, 2019, Proceedings},
    proceedings_a={MOBIHEALTH},
    year={2020},
    month={6},
    keywords={mHealth Citizen-science Crowdsourced data collection Behavioral informatics Children behavior},
    doi={10.1007/978-3-030-49289-2_23}
}

Christos Maramis
Ioannis Ioakimidis
Vassilis Kilintzis
Leandros Stefanopoulos
Eirini Lekka
Vasileios Papapanagiotou
Christos Diou
Anastasios Delopoulos
Penio Kassari
Evangelia Charmandari
Nikolaos Maglaveras
Year: 2020
Developing a Novel Citizen-Scientist Smartphone App for Collecting Behavioral and Affective Data from Children Populations
MOBIHEALTH
Springer
DOI: 10.1007/978-3-030-49289-2_23

Christos Maramis¹^,*, Ioannis Ioakimidis²^,*, Vassilis Kilintzis¹^,*, Leandros Stefanopoulos¹^,*, Eirini Lekka¹^,*, Vasileios Papapanagiotou¹^,*, Christos Diou¹^,*, Anastasios Delopoulos¹^,*, Penio Kassari³^,*, Evangelia Charmandari³^,*, Nikolaos Maglaveras⁴^,*

1: Aristotle University of Thessaloniki
2: Karolinska Institutet
3: Biomedical Research Foundation, Academy of Athens
4: Northwestern University

*Contact email: chmaramis@med.auth.gr, Ioannis.Ioakimidis@ki.se, billyk@med.auth.gr, lstefano@auth.gr, lekka@med.auth.gr, vassilis@mug.ee.auth.gr, diou@mug.ee.auth.gr, adelo@eng.auth.gr, peniokassari@gmail.com, echarmand@med.uoa.gr, nikolaos.maglaveras@northwestern.edu

Abstract

The paradigm of citizen-science, i.e., scientific research that is conducted in whole or in part by non-professional scientists, has gained popularity lately, e.g., for the purpose of crowdsourced data collection. Smartphones with their abundance and ubiquity are perfectly suited and have been widely used for crowdsourced data collection in real life settings. The ongoing, EC-funded research programme named BigO exploits the citizen-science paradigm to collect behavioral (eating, sleeping and physical activity) and affective (mood) data from children populations by means of a novel smartphone application with the intention of developing a decision support system to assist public health authorities in effective policy making against childhood obesity. This paper presents the development – in the context of BigO – of the myBigO app, one of the first citizen-scientist smartphone applications addressed to children for behavioral and affective data collection. This includes the design, implementation, and deployment of myBigO app in a number of data collection studies as well as its preliminary evaluation with respect to technical robustness and user experience in the context of these studies.

Keywords: mHealth Citizen-science Crowdsourced data collection Behavioral informatics Children behavior

Published: 2020-06-05
Appears in: ACM Digital Library

: http://dx.doi.org/10.1007/978-3-030-49289-2_23