Author(s):

Herman Saksono , Carmen Castaneda-Sceppa , Jessica Hoffman , Magy Seif El-Nasr , Vivien Morris , Andrea G. Parker

Abstract:

Wearable activity trackers can encourage physical activity (PA)-a behavior critical for preventing obesity and reducing the risks of chronic diseases. However, prior work has rarely explored how these tools can leverage family support or help people think about strategies for being active-wo factors necessary for achieving regular PA. In this 2-month qualitative study, we investigated PA tracking practices amongst 14 families living in low-income neighborhoods, where obesity is prevalent. We characterize how social discussions of PA data rarely extended beyond the early stages of experiential learning, thus limiting the utility of PA trackers. Caregivers and children rarely analyzed their experiences to derive insights about the meaning of their PA data for their wellbeing. Those who engaged in these higher-order learning processes were often influenced by parenting beliefs shaped by personal health experiences. We contribute recommendations for how technology can more effectively support family experiential learning using PA tracking data.

Documentation:

https://doi.org/10.1145/3290605.3300543

References:

  1. 2017. Health, United States, 2016: With Chartbook on Long-term Trends in Health. Technical Report. National Center for Health Statistics, Hyattsville, MD.Google Scholar
  2. Eric P S Baumer. 2015. Reflective Informatics: Conceptual Dimensions for Designing Technologies of Reflection. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems – CHI 2015. ACM, 585–594. Google ScholarDigital Library
  3. Shlomo Berkovsky, Mac Coombe, Jill Freyne, Dipak Bhandari, and Nilufar Baghaei. 2010. Physical Activity Motivating Games: Virtual Rewards for Real Activity. In CHI 2010. ACM, Atlanta, 243–252. Google ScholarDigital Library
  4. David Boud and David Walker. 1991. Experience and Learning: Reflection at Work. EAE600 Adults Learning in the Workplace: Part A. Adult and Workplace Education, Faculty of Education, Deakin University, Geelong, Victoria, Australia. 61–82 pages.Google Scholar
  5. H. E. Brown, A. J. Atkin, J. Panter, G. Wong, M. J.M. Chinapaw, and E. M.F. van Sluijs. 2016. Family-based interventions to increase physical activity in children: A systematic review, meta-analysis and realist synthesis. Obesity Reviews 17, 4 (2016), 345–360.Google ScholarCross Ref
  6. Nicole R. Bush, Amber L. Allison, Alison L. Miller, Julianna Deardorff, Nancy E. Adler, and W. Thomas Boyce. 2017. Socioeconomic disparities in childhood obesity risk: Association with an oxytocin receptor polymorphism. JAMA Pediatrics 171, 1 (2017), 61–67. arXiv:cond-mat/0604212v1Google ScholarCross Ref
  7. Eun Kyoung Choe, Bongshin Lee, Haining Zhu, Nathalie Henry Riche, and Dominikus Baur. 2017. Understanding Self-Reflection: How People Reflect on Personal Data Through Visual Data Exploration. Proc. EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth ’17) (2017). Google ScholarDigital Library
  8. Nathalie Colineau and Cécile Paris. 2010. Motivating reflection about health within the family: the use of goal setting and tailored feedback. User Modeling and User-Adapted Interaction 21, 4–5 (12 2010), 341–376. Google ScholarDigital Library
  9. Sunny Consolvo, David W Mcdonald, Tammy Toscos, Mike Y Chen, Jon Froehlich, Beverly Harrison, Predrag Klasnja, Anthony Lamarca, Louis Legrand, Ryan Libby, Ian Smith, and James A Landay. 2008. Activity Sensing in the Wild: A Field Trial of UbiFit Garden. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems – CHI 2008. Florence, 1797–1806. Google ScholarDigital Library
  10. Kristen Day. 2006. Active Living and Social Justice. Journal of American Planning Association 72, 1 (2006).Google ScholarCross Ref
  11. Aysegül Dogangün, Michael Schwarz, Katharina Kloppenborg, and Robert Le. 2017. An Approach to Improve Physical Activity by Generating Individual Implementation Intentions. Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization (2017), 370–375. Google ScholarDigital Library
  12. Joseph E Donnelly, Charles H Hillman, Darla M Castelli, Jennifer L Etnier, Sarah Lee, Phillip Tomporowski, Kate Lambourne, and Amanda N Szabo-reed. 2016. Physical Activity, Fitness, Cognitive Function, and Academic Achievement in Children: A Systematic Review. Vol. 48. 1197– 1222 pages.Google Scholar
  13. Chris Elsden, David S Kirk, and Abigail C Durrant. 2015. A Quantified Past: Toward Design for Remembering With Personal Informatics. Human-Computer Interaction 0024, June (2015), 1–40. Google ScholarDigital Library
  14. Kelly R. Evenson, Michelle M. Goto, and Robert D. Furberg. 2015. Systematic review of the validity and reliability of consumer-wearable activity trackers. International Journal of Behavioral Nutrition and Physical Activity 12, 1 (2015), 159.Google ScholarCross Ref
  15. Alicia L. Fedewa and Soyeon Ahn. 2011. The Effects of Physical Activity and Physical Fitness on Children’s Achievement and Cognitive Outcomes: A Meta-Analysis. Research Quarterly for Exercise and Sport 82, 3 (2011), 521–535.Google ScholarCross Ref
  16. Tara J. J. Fenwick. 2001. Experiential Learning: A Theoretical Critique from Five Perspectives. Information Series No. 385. (2001), 76.Google Scholar
  17. Rowanne Fleck. 2012. Rating reflection on experience: A case study of teachers’ and tutors’ reflection around images. Interacting with Computers 24, 6 (2012), 439–449. Google ScholarDigital Library
  18. Andrea Grimes, Desney Tan, and Dan Morris. 2009. Toward Technologies that Support Family Reflections on Health. In GROUP ’09. ACM Press, New York, New York, USA, 311. Google ScholarDigital Library
  19. Sabrina L Gustafson and Ryan E Rhodes. 2006. Parental correlates of physical activity in children and early adolescents. Sports Medicine 36, 1 (1 2006), 79–97.Google Scholar
  20. Daniel Harrison, Paul Marshall, Nadia Bianchi-Berthouze, and Jon Bird. 2015. Activity Tracking: Barriers, Workarounds and Customisation. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing – UbiComp ’15. ACM, Osaka, 617–621. Google ScholarDigital Library
  21. Erik Hemmingsson. 2018. Early Childhood Obesity Risk Factors: Socioeconomic Adversity, Family Dysfunction, Offspring Distress, and Junk Food Self-Medication. Current Obesity Reports 7, 2 (2018), 204–209.Google ScholarCross Ref
  22. K Janz and Marshall H Becker. 1984. The Health Belief Model: A Decade Later. Health Education Quarterly (1984), 1–47.Google Scholar
  23. Danish U. Khan, Swamy Ananthanarayan, An T. Le, Christopher L. Schaefbauer, and Katie A. Siek. 2012. Designing mobile snack application for low socioeconomic status families. In 2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth). IEEE, 57–64.Google Scholar
  24. Stephen Kimani, Nilufar Baghaei, Jill Freyne, Shlomo Berkovsky, Dipak Bhandari, and Greg Smith. 2010. Gender and role differences in family-based healthy living networks. In International Conference on Human Factors in Computing Systems – CHI EA ’10. 4219. Google ScholarDigital Library
  25. Ruth R. Kipping, Laura D. Howe, Russell Jago, Rona Campbell, Sian Wells, Catherine R. Chittleborough, Julie Mytton, Sian M. Noble, Tim J. Peters, and Debbie A. Lawlor. 2014. Effect of intervention aimed at increasing physical activity, reducing sedentary behaviour, and increasing fruit and vegetable consumption in children: Active for Life Year 5 (AFLY5) school based cluster randomised controlled trial. BMJ (Online) 348, 348 (2014).Google Scholar
  26. Predrag Klasnja, Sunny Consolvo, and Wanda Pratt. 2011. How to evaluate technologies for health behavior change in HCI research. Proceedings of the 2011 Annual Conference on Human Factors in Computing Systems – CHI ’11 (2011), 3063. Google ScholarDigital Library
  27. David A. Kolb. 1984. Experiential learning: Experience as the source of learning and development. FT press.Google Scholar
  28. W Kroeze, A Werkman, and J Brug. 2006. A systematic review of randomized trials on the effectiveness of computer-tailored education on physical activity and dietary behaviors. Annals of Behavioral Medicine 31, 3 (2006), 205–223.Google ScholarCross Ref
  29. Shiriki Kumanyika and Sonya Grier. 2006. Targeting interventions for ethnic minority and low-income populations. The Future of children / Center for the Future of Children, the David and Lucile Packard Foundation 16, 1 (1 2006), 187–207. http://www.ncbi.nlm.nih.gov/pubmed/16532664Google Scholar
  30. Gwendolyn M. Lawson, Cayce J. Hook, and Martha J. Farah. 2018. A meta-analysis of the relationship between socioeconomic status and executive function performance among children. Developmental Science 21, 2 (2018), 1–22.Google ScholarCross Ref
  31. James J Lin, Lena Mamykina, Silvia Lindtner, Gregory Delajoux, and Henry B Strub. 2006. Fish’n’Steps: Encouraging Physical Activity with an Interactive Computer Game. In Ubicomp 2006. 261–278. Google ScholarDigital Library
  32. Andrew Macvean and Judy Robertson. 2012. iFitQuest: A School Based Study of a Mobile Location-Aware Exergame for Adolescents. In MobileHCI ’12. San Francisco, 359–368. Google ScholarDigital Library
  33. Alison M McMinn, Esther Mf van Sluijs, Nicholas C Harvey, Cyrus Cooper, Hazel M Inskip, Keith M Godfrey, and Simon J Griffin. 2009. Validation of a maternal questionnaire on correlates of physical activity in preschool children. International Journal of Behavioral Nutrition and Physical Activity 6 (1 2009), 81.Google Scholar
  34. Rebecca Ann Meriwether, Pamela M McMahon, Nahid Islam, and William C Steinmann. 2006. Physical activity assessment: Validation of a Clinical Assessment Tool. American Journal of Preventive Medicine 31, 6 (12 2006), 484–91.Google ScholarCross Ref
  35. Susan; Michie, Craig; Abraham, Charles; Whittington, John; McAteer, and Sunjai Gupta. 2009. Effective techniques in healthy eating and physical activity interventions: A meta-regression. Technical Report 6. 690– 701 pages. arXiv:gr-qc/9809069v1Google Scholar
  36. Andrew D. Miller and Elizabeth D. Mynatt. 2014. StepStream: A School-based Pervasive Social Fitness System for Everyday Adolescent Health. Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems – CHI ’14 (2014), 2823–2832. Google ScholarDigital Library
  37. Beth E Molnar, Steven L Gortmaker, Fiona C Bull, and Stephen L Buka. 2004. Unsafe to Play? Neighborhood Disorder and Lack Among Urban Children and Adolescents. American Journal of Health Promotion (2004), 378–387.Google Scholar
  38. Sean Munson and Sunny Consolvo. 2012. Exploring Goal-setting, Rewards, Self-monitoring, and Sharing to Motivate Physical Activity. Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare (2012), 25–32.Google ScholarCross Ref
  39. Jasmin Niess and Pawel W. Wozniak. 2018. Supporting Meaningful Personal Fitness. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems – CHI ’18 (2018), 1–12. Google ScholarDigital Library
  40. Cynthia L. Ogden, Margaret D. Carroll, Brian K. Kit, and Katherine M. Flegal. 2014. Prevalence of Childhood and Adult Obesity in the United States, 2011–2012. JAMA: The Journal of the American Medical Association 311, 8 (2 2014), 806.Google ScholarCross Ref
  41. K. Patrick, J. F. Sallis, B. Long, K. J. Calfas, W. Wooten, G. Heath, and M. Pratt. 1994. A new tool for encouraging activity: Project PACE., 45–46 pages.Google Scholar
  42. Laura R Pina, Sang-Wha Sien, Teresa Ward, Jason C Yip, Sean A Munson, James Fogarty, and Julie A Kientz. 2017. From Personal Informatics to Family Informatics. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing – CSCW ’17. 2300–2315. Google ScholarDigital Library
  43. Aare Puussaar, Adrian K Clear, and Peter Wright. 2017. Enhancing Personal Informatics Through Social Sensemaking. In CHI ’17 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Google ScholarDigital Library
  44. J J Reilly and J Kelly. 2011. Long-term impact of overweight and obesity in childhood and adolescence on morbidity and premature mortality in adulthood: systematic review. International journal of obesity 35, July 2010 (2011), 891–898.Google Scholar
  45. John Rooksby, Mattias Rost, Alistair Morrison, and Matthew Chalmers. 2014. Personal tracking as lived informatics. Proceedings of the 32nd annual ACM conference on Human factors in computing systems – CHI ’14 (2014), 1163–1172. Google ScholarDigital Library
  46. 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. ACM, Montreal, BC, Canada, 1–13. Google ScholarDigital Library
  47. Herman Saksono and Andrea Grimes Parker. 2017. Reflective Informatics Through Family Storytelling: Self-discovering Physical Activity Predictors. In Proceedings of the 2017 ACM Conference on Human Factors in Computing Systems – CHI ’17. ACM, Denver, CO, USA, 5232–5244. Google ScholarDigital Library
  48. Herman Saksono, Ashwini Ranade, Geeta Kamarthi, Carmen Castaneda-Sceppa, Jessica A. Hoffman, Cathy Wirth, and Andrea G. Parker. 2015. Spaceship Launch: Designing a Collaborative Exergame for Families. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW ’15). ACM, Vancouver, BC, Canada, 1776–1787. Google ScholarDigital Library
  49. Chris Schaefbauer, Danish Kahn, Amy Le, Garrett Sczechowski, and Katie Siek. 2015. Snack Buddy: Supporting Healthy Snacking in Low Socioeconomic Status Families. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW ’15). ACM, New York, New York, USA, 1045–1057. Google ScholarDigital Library
  50. US Department of Health Services and Human. 2008. 2008 Physical Activity Guidelines for Americans. Technical Report. U.S. Department of Health and Human Services. https://health.gov/PAGuidelines/Google Scholar
  51. Christopher Spera, Kathryn R. Wentzel, and Holly C. Matto. 2009. Parental aspirations for their children’s educational attainment: Relations to ethnicity, parental education, children’s academic performance, and parental perceptions of school climate. Journal of Youth and Adolescence 38, 8 (2009), 1140–1152.Google ScholarCross Ref
  52. Kevin G Stanley, Ian Livingston, Alan Bandurka, Robert Kapiszka, and Regan L Mandryk. 2010. PiNiZoRo: A GPS-based Exercise Game for Families. In Futureplay ’10 Proceedings of the International Academic Conference on the Future of Game Design and Technology. ACM, Vancouver, British Columbia, Canada, 243–246. Google ScholarDigital Library
  53. Elizabeth Stowell, Mercedes C Lyson, Herman Saksono, Reneé C Wurth, Holly Jimison, Misha Pavel, and Andrea G. Parker. 2018. Designing and Evaluating mHealth Interventions for Vulnerable Populations: A Systematic Review. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, New York, NY, USA, 1–17. Google ScholarDigital Library
  54. Haichun Sun. 2013. Impact of exergames on physical activity and motivation in elementary school students: A follow-up study. Journal of Sport and Health Science 2, 3 (9 2013), 138–145.Google ScholarCross Ref
  55. David R Thomas. 2003. A general inductive approach for qualitative data analysis. Population English Edition 27, 2 (2003), 237–246.Google Scholar
  56. Stewart G Trost, Neville Owen, Adrian E Bauman, James F Sallis, and Wendy Brown. 2002. Correlates of adults’ participation in physical activity: review and update. Medicine & Science in Sports & Exercise 34, 12 (2002), 1996–2001.Google ScholarCross Ref
  57. Amna Umer, George A Kelley, Lesley E Cottrell, Peter Giacobbi Jr, Kim E Innes, and Christa L Lilly. 2009. Childhood obesity and adult cardiovascular disease risk: a systematic review. BMC Public Health 17, 683 (2009), 1–11.Google Scholar
  58. Kim M. Unertl, Chris L. Schaefbauer, Terrance R. Campbell, Charles Senteio, Katie A. Siek, Suzanne Bakken, and Tiffany C. Veinot. 2016. Integrating community-based participatory research and informatics approaches to improve the engagement and health of underserved populations. Journal of the American Medical Informatics Association 23, 1 (2016), 60–73.Google ScholarCross Ref
  59. Klazine Van Der Horst, Marijke J.Chin A. Paw, Jos W.R. Twisk, and Willem Van Mechelen. 2007. A brief review on correlates of physical activity and sedentariness in youth. Medicine and Science in Sports and Exercise 39, 8 (2007), 1241–1250.Google ScholarCross Ref
  60. Esther M F Van Sluijs, Alison M McMinn, and Simon J Griffin. 2008. Effectiveness of interventions to promote physical activity in children and adolescents: systematic review of controlled trials. British journal of sports medicine 42, 8 (2008), 653–657.Google Scholar
  61. Dana L. Wolff-Hughes, David R. Bassett, and Eugene C. Fitzhugh. 2014. Population-Referenced Percentiles for Waist-Worn AccelerometerDerived Total Activity Counts in U.S. Youth: 2003 – 2006 NHANES. PLoS ONE 9, 12 (2014), e115915.Google ScholarCross Ref
  62. Yan Xu, Erika Shehan Poole, and Andrew D. Miller. 2012. This is not a one-horse race: understanding player types in multiplayer pervasive health games for youth. In Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work (CSCW ’12). ACM, Seattle, 843–852. Google ScholarDigital Library
  63. Adina Zeki Al Hazzouri, Tali Elfassy, Stephen Sidney, David Jacobs, Eliseo J. Perez Stable, and Kristine Yaffe. 2017. Sustained Economic Hardship and Cognitive Function: The Coronary Artery Risk Development in Young Adults Study. Am J Prev Med. 52, 1 (2017), 1–9.Google ScholarCross Ref