Zhaoyuan Su
ABSTRACT
Data-driven health technologies, such as wearables and medical devices, are increasingly part of children’s daily lives. These technologies help children collect, reflect on, and use their health data. The hope is that they develop healthy habits and skills and prepare themselves to manage their health and wellbeing. However, past research has shown that children, especially those of young age, have limited interactions with these technologies and often struggle to understand their health data. My dissertation research contributes to a comprehensive understanding of how children and their caregivers (i.e., parents and healthcare providers) perceive data-driven health technologies, and use the resulting data to improve children’s health. Drawing on findings from a systematic literature review, content analysis, qualitative interviews, and participatory design workshops, my dissertation research fosters discussion of children’s health data literacy and identifies design opportunities to build children’s health capacity through supporting their health data literacy.
- [n. d.]. Healthy People 2030 | health.gov. https://health.gov/healthypeopleGoogle Scholar
- Swamy Ananthanarayan, Katie Siek, and Michael Eisenberg. 2016. A Craft Approach to Health Awareness in Children. In Proceedings of the 2016 ACM Conference on Designing Interactive Systems(DIS ’16). Association for Computing Machinery, New York, NY, USA, 724–735. https://doi.org/10.1145/2901790.2901888Google ScholarDigital Library
- Elizabeth A. Ankrah, Franceli L. Cibrian, Lucas M. Silva, Arya Tavakoulnia, Jesus A. Beltran, Sabrina E.B. Schuck, Kimberley D. Lakes, and Gillian R. Hayes. 2022. Me, My Health, and My Watch: How Children with ADHD Understand Smartwatch Health Data. ACM Transactions on Computer-Human Interaction (Dec. 2022). https://doi.org/10.1145/3577008 Just Accepted.Google ScholarDigital Library
- Lindsay Blackwell, Emma Gardiner, and Sarita Schoenebeck. 2016. Managing Expectations: Technology Tensions among Parents and Teens. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing(CSCW ’16). Association for Computing Machinery, New York, NY, USA, 1390–1401. https://doi.org/10.1145/2818048.2819928Google ScholarDigital Library
- Kirsten Boehner, Janet Vertesi, Phoebe Sengers, and Paul Dourish. 2007. How HCI interprets the probes. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, San Jose California USA, 1077–1086. https://doi.org/10.1145/1240624.1240789Google ScholarDigital Library
- Jeremy Boy, Ronald A. Rensink, Enrico Bertini, and Jean-Daniel Fekete. 2014. A Principled Way of Assessing Visualization Literacy. IEEE Transactions on Visualization and Computer Graphics 20, 12 (Dec. 2014), 1963–1972. https://doi.org/10.1109/TVCG.2014.2346984Google ScholarCross Ref
- Janine Bröder, Orkan Okan, Ullrich Bauer, Dirk Bruland, Sandra Schlupp, Torsten M. Bollweg, Luis Saboga-Nunes, Emma Bond, Kristine Sørensen, Eva-Maria Bitzer, Susanne Jordan, Olga Domanska, Christiane Firnges, Graça S. Carvalho, Uwe H. Bittlingmayer, Diane Levin-Zamir, Jürgen Pelikan, Diana Sahrai, Albert Lenz, Patricia Wahl, Malcolm Thomas, Fabian Kessl, and Paulo Pinheiro. 2017. Health literacy in childhood and youth: a systematic review of definitions and models. BMC Public Health 17, 1 (April 2017), 361. https://doi.org/10.1186/s12889-017-4267-yGoogle Scholar
- Bengisu Cagiltay, Hui-Ru Ho, Joseph E Michaelis, and Bilge Mutlu. 2020. Investigating family perceptions and design preferences for an in-home robot. In Proceedings of the Interaction Design and Children Conference. ACM, London United Kingdom, 229–242. https://doi.org/10.1145/3392063.3394411Google ScholarDigital Library
- Tamara Clegg, Daniel M. Greene, Nate Beard, and Jasmine Brunson. 2020. Data Everyday: Data Literacy Practices in a Division I College Sports Context. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems(CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3313831.3376153Google ScholarDigital Library
- Patrícia Dias, Rita Brito, Wannes Ribbens, Linda Daniela, Zanda Rubene, Michael Dreier, Monica Gemo, Rosanna Di Gioia, and Stéphane Chaudron. 2016. The role of parents in the engagement of young children with digital technologies: Exploring tensions between rights of access and protection, from ‘Gatekeepers’ to ‘Scaffolders’. Global Studies of Childhood 6, 4 (Dec. 2016), 414–427. https://doi.org/10.1177/2043610616676024 Publisher: SAGE Publications.Google Scholar
- William W. Gaver, Andrew Boucher, Sarah Pennington, and Brendan Walker. 2004. Cultural probes and the value of uncertainty. Interactions 11, 5 (Sept. 2004), 53–56. https://doi.org/10.1145/1015530.1015555Google ScholarDigital Library
- Danielle Hagood, Cynthia Carter Ching, and Sara Schaefer. 2016. Integrating physical activity data in videogames with user-centered dashboards. In Proceedings of the Sixth International Conference on Learning Analytics & Knowledge(LAK ’16). Association for Computing Machinery, New York, NY, USA, 530–531. https://doi.org/10.1145/2883851.2883958Google ScholarDigital Library
- Alexis Hiniker, Sarita Y. Schoenebeck, and Julie A. Kientz. 2016. Not at the Dinner Table: Parents’ and Children’s Perspectives on Family Technology Rules. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing(CSCW ’16). Association for Computing Machinery, New York, NY, USA, 1376–1389. https://doi.org/10.1145/2818048.2819940Google ScholarDigital Library
- Alexis Hiniker, Kiley Sobel, and Bongshin Lee. 2017. Co-Designing with Preschoolers Using Fictional Inquiry and Comicboarding. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems(CHI ’17). Association for Computing Machinery, New York, NY, USA, 5767–5772. https://doi.org/10.1145/3025453.3025588Google ScholarDigital Library
- Matthew K. Hong, Udaya Lakshmi, Thomas A. Olson, and Lauren Wilcox. 2018. Visual ODLs: Co-Designing Patient-Generated Observations of Daily Living to Support Data-Driven Conversations in Pediatric Care. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3173574.3174050Google ScholarDigital Library
- Elizabeth Kaziunas, Mark S. Ackerman, Silvia Lindtner, and Joyce M. Lee. 2017. Caring through Data: Attending to the Social and Emotional Experiences of Health Datafication. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing(CSCW ’17). Association for Computing Machinery, New York, NY, USA, 2260–2272. https://doi.org/10.1145/2998181.2998303Google ScholarDigital Library
- Eva Knutz, Tau Ulv Lenskjold, and Thomas Markussen. 2016. Fiction as a resource in participatory design. Proceedings of DRS 2016 International Conference 5 (2016), 1830–1844. https://doi.org/10.21606/drs.2016.476 Publisher: Design Research Society.Google ScholarCross Ref
- Priya Kumar, Jessica Vitak, Marshini Chetty, Tamara L. Clegg, Jonathan Yang, Brenna McNally, and Elizabeth Bonsignore. 2018. Co-designing online privacy-related games and stories with children. In Proceedings of the 17th ACM Conference on Interaction Design and Children(IDC ’18). Association for Computing Machinery, New York, NY, USA, 67–79. https://doi.org/10.1145/3202185.3202735Google ScholarDigital Library
- Victor Lee and Joel Drake. 2013. Quantified recess: Design of an activity for elementary students involving analyses of their own movement data. Proceedings of the 12th International Conference on Interaction Design and Children (July 2013), 273–276. https://doi.org/10.1145/2485760.2485822Google ScholarDigital Library
- Institute of Medicine (US) Committee on Health Literacy, Lynn Nielsen-Bohlman, Allison M. Panzer, and David A. Kindig. 2004. Introduction. National Academies Press (US). https://www.ncbi.nlm.nih.gov/books/NBK216033/ Publication Title: Health Literacy: A Prescription to End Confusion.Google Scholar
- Clarence Maybee and Lisa Zilinski. 2015. Data informed learning: A next phase data literacy framework for higher education. Proceedings of the Association for Information Science and Technology 52, 1 (2015), 1–4. https://doi.org/10.1002/pra2.2015.1450520100108 _eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/pra2.2015.1450520100108.Google ScholarCross Ref
- Iþil Oygür, Zhaoyuan Su, Daniel A. Epstein, and Yunan Chen. 2021. The Lived Experience of Child-Owned Wearables: Comparing Children’s and Parents’ Perspectives on Activity Tracking. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. ACM, Yokohama Japan, 1–12. https://doi.org/10.1145/3411764.3445376Google ScholarDigital Library
- Javier Calzada Prado and Miguel Ángel Marzal. 2013. Incorporating Data Literacy into Information Literacy Programs: Core Competencies and Contents. Libri 63, 2 (June 2013), 123–134. https://doi.org/10.1515/libri-2013-0010 Publisher: De Gruyter Saur.Google Scholar
- Shriti Raj, Joyce M. Lee, Ashley Garrity, and Mark W. Newman. 2019. Clinical Data in Context: Towards Sensemaking Tools for Interpreting Personal Health Data. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3, 1 (March 2019), 22:1–22:20. https://doi.org/10.1145/3314409Google ScholarDigital Library
- Russell L Rothman, Victor M. Montori, Andrea Cherrington, and Michael P. Pignone. 2008. Perspective: The Role of Numeracy in Health Care. Journal of health communication 13, 6 (Sept. 2008), 583–595. https://doi.org/10.1080/10810730802281791Google ScholarCross Ref
- Elisa Rubegni, Laura Malinverni, and Jason Yip. 2022. “Don’t let the robots walk our dogs, but it’s ok for them to do our homework”: children’s perceptions, fears, and hopes in social robots.. In Interaction Design and Children. ACM, Braga Portugal, 352–361. https://doi.org/10.1145/3501712.3529726Google ScholarDigital Library
- Herman Saksono, Carmen Castaneda-Sceppa, Jessica Hoffman, Magy Seif El-Nasr, Vivien Morris, and Andrea G. Parker. 2018. Family Health Promotion in Low-SES Neighborhoods: A Two-Month Study of Wearable Activity Tracking. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems(CHI ’18). Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3173574.3173883Google ScholarDigital Library
- Lee M. Sanders, Judith S. Shaw, Ghislaine Guez, Cynthia Baur, and Rima Rudd. 2009. Health Literacy and Child Health Promotion: Implications for Research, Clinical Care, and Public Policy. Pediatrics 124, Supplement_3 (Nov. 2009), S306–S314. https://doi.org/10.1542/peds.2009-1162GGoogle Scholar
- Milo Shields. 2005. Information Literacy, Statistical Literacy, Data Literacy. IASSIST Quarterly 28, 2-3 (Aug. 2005), 6–6. https://doi.org/10.29173/iq790 Number: 2-3.Google ScholarCross Ref
- Lucas M. Silva, Franceli L. Cibrian, Elissa Monteiro, Arpita Bhattacharya, Jesus A. Beltran, Clarisse Bonang, Daniel A. Epstein, Sabrina E. B. Schuck, Kimberley D. Lakes, and Gillian R. Hayes. 2023. Unpacking the Lived Experiences of Smartwatch Mediated Self and Co-Regulation with ADHD Children. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems(CHI ’23). Association for Computing Machinery, New York, NY, USA, 1–19. https://doi.org/10.1145/3544548.3581316Google ScholarDigital Library
- Zhaoyuan Su, Lu He, Sunit P Jariwala, Kai Zheng, and Yunan Chen. 2022. "What is Your Envisioned Future?": Toward Human-AI Enrichment in Data Work of Asthma Care. Proceedings of the ACM on Human-Computer Interaction 6, CSCW2 (Nov. 2022), 267:1–267:28. https://doi.org/10.1145/3555157Google ScholarDigital Library
- Damyanka Tsvyatkova and Cristiano Storni. 2014. Adapting design probes to explore health management practices in pediatric type 1 diabetes. In Proceedings of the 2014 conference on Interaction design and children(IDC ’14). Association for Computing Machinery, New York, NY, USA, 277–280. https://doi.org/10.1145/2593968.2610471Google ScholarDigital Library
- Ge Wang, Jun Zhao, Max Van Kleek, and Nigel Shadbolt. 2023. ‘Treat me as your friend, not a number in your database’: co-designing with children to cope with datafication online. (2023).Google Scholar
Index Terms
- Caring for Children’s Health and Wellbeing Through Understanding and Designing for Health Data Literacy
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