Baby CROINC: An online, crowd-based, expert-curated system for monitoring child development

Ayelet Ben-Sasson; Eli Ben-Sasson; Kayla Jacobs; Eden Saig

doi:10.1145/3154862.3154887

Baby CROINC: An online, crowd-based, expert-curated system for monitoring child development

Ayelet Ben-Sasson, Eli Ben-Sasson, Kayla Jacobs, Eden Saig

Department of Occupational Therapy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Baby CROINC (CROwd INtelligence Curation) is an online early-childhood development tracker designed to be both personalized and objective. To meet these goals, we rely on Curated Crowd Intelligence (CCI), a process in which experts curate personalized inputs to connect with the crowd's aggregate data, providing parents with objective and personalized feedback on their children's development. In this paper, we describe Baby CROINC's design, with a focus on CCI, and assess the extent to which it meets its design goals of objectivity and personalization. In Baby CROINC, parents create a diary by adding developmental milestones to a timeline. Visual statistics are presented per milestone. Expert curators clarify, merge, and classify milestones which are new to the system. Diary personalization was evident through users' rich and diverse milestone choices, and by the continuous system increase in new canonical developmental concepts. Findings demonstrate the objectivity of the crowd-based percentiles extracted from Baby CROINC, based on consistency of developmental differences in preterm vs. fullterm and boys vs. girls with established research, and the correlation between medians reported in our system and those appearing on the U.S. Centers for Disease Control and Prevention's Milestones webpage.^1. CCI led to a dramatic increase in users' ability to view crowdbased statistics, indicating that CCI is critical for enabling objectivity while maintaining personalization.

Original language	English
Title of host publication	Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017
Publisher	Association for Computing Machinery
Pages	110-119
Number of pages	10
ISBN (Electronic)	9781450363631
DOIs	https://doi.org/10.1145/3154862.3154887
State	Published - 23 May 2017
Event	11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017 - Barcelona, Spain Duration: 23 May 2017 → 26 May 2017

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017
Country/Territory	Spain
City	Barcelona
Period	23/05/17 → 26/05/17

Bibliographical note

Funding Information:
We thank the team members for their contribution to the Baby CROINC system design and maintenance: Gal Agmon, Tal Bussel, Daniel Moran, Elisheva Rotman Argaman, Ori Sberlo, Yael Schwartz, Gal Shachaf, Danielle Wolinski, Matan Yechieli, Almog Zimelman, and Ohad Zohar. The research of the first author received funding from a Yigal Alon Fellowship; research of the last three co-authors received funding from the European Research Council (under grant agreement 240258) and the Israeli Science Foundation (grant 1501/14).

Keywords

Crowd sourcing
Health informatics
early child development

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3154862.3154887

Cite this

Ben-Sasson, A., Ben-Sasson, E., Jacobs, K., & Saig, E. (2017). Baby CROINC: An online, crowd-based, expert-curated system for monitoring child development. In Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017 (pp. 110-119). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3154862.3154887

Ben-Sasson, Ayelet ; Ben-Sasson, Eli ; Jacobs, Kayla et al. / Baby CROINC : An online, crowd-based, expert-curated system for monitoring child development. Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017. Association for Computing Machinery, 2017. pp. 110-119 (ACM International Conference Proceeding Series).

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abstract = "Baby CROINC (CROwd INtelligence Curation) is an online early-childhood development tracker designed to be both personalized and objective. To meet these goals, we rely on Curated Crowd Intelligence (CCI), a process in which experts curate personalized inputs to connect with the crowd's aggregate data, providing parents with objective and personalized feedback on their children's development. In this paper, we describe Baby CROINC's design, with a focus on CCI, and assess the extent to which it meets its design goals of objectivity and personalization. In Baby CROINC, parents create a diary by adding developmental milestones to a timeline. Visual statistics are presented per milestone. Expert curators clarify, merge, and classify milestones which are new to the system. Diary personalization was evident through users' rich and diverse milestone choices, and by the continuous system increase in new canonical developmental concepts. Findings demonstrate the objectivity of the crowd-based percentiles extracted from Baby CROINC, based on consistency of developmental differences in preterm vs. fullterm and boys vs. girls with established research, and the correlation between medians reported in our system and those appearing on the U.S. Centers for Disease Control and Prevention's Milestones webpage.1. CCI led to a dramatic increase in users' ability to view crowdbased statistics, indicating that CCI is critical for enabling objectivity while maintaining personalization.",

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Ben-Sasson, A, Ben-Sasson, E, Jacobs, K & Saig, E 2017, Baby CROINC: An online, crowd-based, expert-curated system for monitoring child development. in Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 110-119, 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017, Barcelona, Spain, 23/05/17. https://doi.org/10.1145/3154862.3154887

Baby CROINC : An online, crowd-based, expert-curated system for monitoring child development. / Ben-Sasson, Ayelet; Ben-Sasson, Eli; Jacobs, Kayla et al.

Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017. Association for Computing Machinery, 2017. p. 110-119 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Saig, Eden

N1 - Funding Information: We thank the team members for their contribution to the Baby CROINC system design and maintenance: Gal Agmon, Tal Bussel, Daniel Moran, Elisheva Rotman Argaman, Ori Sberlo, Yael Schwartz, Gal Shachaf, Danielle Wolinski, Matan Yechieli, Almog Zimelman, and Ohad Zohar. The research of the first author received funding from a Yigal Alon Fellowship; research of the last three co-authors received funding from the European Research Council (under grant agreement 240258) and the Israeli Science Foundation (grant 1501/14).

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N2 - Baby CROINC (CROwd INtelligence Curation) is an online early-childhood development tracker designed to be both personalized and objective. To meet these goals, we rely on Curated Crowd Intelligence (CCI), a process in which experts curate personalized inputs to connect with the crowd's aggregate data, providing parents with objective and personalized feedback on their children's development. In this paper, we describe Baby CROINC's design, with a focus on CCI, and assess the extent to which it meets its design goals of objectivity and personalization. In Baby CROINC, parents create a diary by adding developmental milestones to a timeline. Visual statistics are presented per milestone. Expert curators clarify, merge, and classify milestones which are new to the system. Diary personalization was evident through users' rich and diverse milestone choices, and by the continuous system increase in new canonical developmental concepts. Findings demonstrate the objectivity of the crowd-based percentiles extracted from Baby CROINC, based on consistency of developmental differences in preterm vs. fullterm and boys vs. girls with established research, and the correlation between medians reported in our system and those appearing on the U.S. Centers for Disease Control and Prevention's Milestones webpage.1. CCI led to a dramatic increase in users' ability to view crowdbased statistics, indicating that CCI is critical for enabling objectivity while maintaining personalization.

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Ben-Sasson A, Ben-Sasson E, Jacobs K, Saig E. Baby CROINC: An online, crowd-based, expert-curated system for monitoring child development. In Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017. Association for Computing Machinery. 2017. p. 110-119. (ACM International Conference Proceeding Series). doi: 10.1145/3154862.3154887

Baby CROINC: An online, crowd-based, expert-curated system for monitoring child development

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this