skip to main content
10.1145/3568294.3580197acmconferencesArticle/Chapter ViewAbstractPublication PageshriConference Proceedingsconference-collections
short-paper

BeeBot: A Robot that Help Children Manage Their Blood Glucose in a Friendly Way

Published:13 March 2023Publication History

ABSTRACT

Obesity is a major problem affecting children around the world. In many cases this condition leads to an even more serious disease, diabetes, a condition for which the child and his or her family must create new habits and purchase medical devices. BeeBot is an affordable robot that helps children with diabetes and obesity who are unfamiliar with or afraid of using a glucometer. It incorporates a glucometer and, in addition, includes a counter to capture the number of glasses of water to be consumed and a special button that, when pressed, will advise the child on the exercise he or she can do. Finally, it has two buttons that the child can press depending on whether or not the child has met the day's goal, whether it is the number of glasses of water or the recommended exercise. All the information can be monitored by the parent through an app.

Skip Supplemental Material Section

Supplemental Material

BeeBot HRI 2023.mp4

mp4

157.1 MB

References

  1. WHO, "Obesity and overweight", June 9, 2021. [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight. [Accessed Jan. 10, 2023].Google ScholarGoogle Scholar
  2. El Peruano, "Niños y obesidad", November 6, 2022. [Online]. Available: http://www.elperuano.pe/noticia/196369-ninos-y-obesidad. [Accessed Jan. 10, 2023].Google ScholarGoogle Scholar
  3. T. Toscos, K. Connelly, and Y. Rogers. 2012. Best intentions: health monitoring technology and children. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '12). Association for Computing Machinery, New York, NY, USA, 1431--1440 [Online]. Available: https://doi.org/10.1145/2207676.2208603. [Accessed Jan. 10, 2023].Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. J. McLenon, Rogers, MAM. The fear of needles: A systematic review and meta-analysis. J Adv Nurs. 2019; 75: 30--42 [Online]. Available: https://doi.org/10.1111/jan.13818. [Accessed Jan. 10, 2023].Google ScholarGoogle ScholarCross RefCross Ref
  5. T. Alhmiedat and M. Alotaibi, ?Design and Evaluation of a Personal Robot Playing a Self-Management for Children with Obesity," Electronics, vol. 11, no. 23, p. 4000, Dec. 2022 [Online]. Available: doi: 10.3390/electronics11234000. [Accessed Jan. 10, 2023].Google ScholarGoogle ScholarCross RefCross Ref
  6. A. Triantafyllidis, A. Alexiadis, D. Elmas. et al. A social robot-based platform for health behavior change toward prevention of childhood obesity. Univ Access Inf Soc (2022) [Online]. Available: https://doi.org/10.1007/s10209-022-00922-7. [Accessed Jan. 11, 2023].Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ?A Social Robot-based Platform towards Automated Diet Tracking". In Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, ACSIS, Vol. 21, pages 11--14 (2020) [Online]. Available: http://dx.doi.org/10.15439/2020F146. [Accessed Jan. 11, 2023].Google ScholarGoogle ScholarCross RefCross Ref
  8. M. A. Al-Taee, W. Al-Nuaimy, Z. J. Muhsin and A. Al-Ataby, "Robot Assistant in Management of Diabetes in Children Based on the Internet of Things," in IEEE Internet of Things Journal, vol. 4, no. 2, pp. 437--445, April 2017 [Online]. Available: doi: 10.1109/JIOT.2016.2623767. [Accessed Jan. 11, 2023].Google ScholarGoogle ScholarCross RefCross Ref
  9. [n. d.]. IDEO.org Approach. https://www.ideo.org/approach. ([n. d.]). Last Accessed: 2018-01-19. [Accessed Jan. 12, 2023].Google ScholarGoogle Scholar
  10. Social Robots in the Wild, "Human Centered Robotics: Designing Valuable Experiences for Social Robots", March 2018, Chicago, IL USA. [Online]. Available: http://socialrobotsinthewild.org/wp-content/uploads/2018/02/HRI-SRW_2018_paper_2.pdf. [Accessed: Jan. 12, 2023].Google ScholarGoogle Scholar
  11. American Diabetes Association; 13. Children and Adolescents: Standards of Medical Care in Diabetes-2021. Diabetes Care 1 January 2021; 44 (Supplement_1): S180--S199 [Online]. Available: https://doi.org/10.2337/dc21-S013. [Accessed Jan. 12, 2023].Google ScholarGoogle ScholarCross RefCross Ref
  12. C. Smart, E. Aslander-van, S. Waldron. Nutritional management in children and adolescents with diabetes. Pediatr Diabetes. 2009 Sep;10 Suppl 12:100-17 [Online]. Available: doi: 10.1111/j.1399-5448.2009.00572.x. PMID: 19754622. [Accessed Jan. 12, 2023].Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. BeeBot: A Robot that Help Children Manage Their Blood Glucose in a Friendly Way

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        HRI '23: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction
        March 2023
        612 pages
        ISBN:9781450399708
        DOI:10.1145/3568294

        Copyright © 2023 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 13 March 2023

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • short-paper

        Acceptance Rates

        Overall Acceptance Rate242of1,000submissions,24%
      • Article Metrics

        • Downloads (Last 12 months)44
        • Downloads (Last 6 weeks)5

        Other Metrics

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader