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Using an ecological framework to design mobile technologies for pediatric asthma management

Published: 15 September 2009 Publication History

Abstract

Mobile technologies, due to their ubiquitous nature, play an important role in supporting health care. However, it is not easy to design useful integrated mobile services without a systematic understanding of users, and this is especially true for children. Therefore, we propose a new theoretical perspective for generating design concepts in the early stage of the design process. Our ecological model is based on Ecological Systems Theory which approaches development in terms of the child's relationships and environmental context. It leverages the fact that mobile technologies are deeply involved with users' circumstances. We argue that the ecological model can provide a heuristic to help researchers understand users' needs in context and generate concepts logically and creatively. Here we explore pediatric asthma management as a case study for this model. Finally, five promising mobile technology concepts are provided as examples for further development of mobile technologies related to pediatric asthma management.

References

[1]
Anhøj, J. and Møldrup, C. Feasibility of Collecting Diary Data from Asthma Patients through Mobile Phones and SMS (Short Message Service): Response Rate Analysis and Focus Group Evaluation from a Pilot Study. Journal of Medical Internet Research. 2004, Vol. 6, No. 4.
[2]
Bell, G. 2002. Making Sense of Museums: The Museum as Cultural Ecology. Intel Labs: Technical Report. 1--17.
[3]
Bronfenbrenner, U. 1979. The Ecology of Human Development: Experiments by Nature and Design. Harvard University Press.
[4]
Butz, A. and Krüger, A. User-centered development of a pervasive healthcare application. Pervasive Health Conference and Workshops, IEEE, (Nov.--Dec. 2006), 1--8.
[5]
Chu, H., Huang, C., Lian, Z., and Tsai, J. A ubiquitous warning system for asthma-inducement. In Proc. of the IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (Taichung, Taiwan, Jun. 2006), SUTC'06, IEEE, Vol. 2, 186--191.
[6]
Cleland, J., Caldow J., and Ryan, D. A qualitative study of the attitudes of patients and staff to the use of mobile phone technology for recording and gathering asthma data. Journal of Telemedicine and Telecare. 2007, Vol. 13, No. 2, 85--89.
[7]
Finkelstein, J. and Friedman, R. H. Telemedicine System to Support Asthma Self-Management. In Proc. of IEEE EMBS International Conference on Information Technology Applications in Biomedicine (Arlington, VA, USA, Nov. 2000), 164--167, 2000.
[8]
Fonseca, J., Costa-Pereira, A., Delgado, L., Silva, L., Magalhães, M., Castel-Branco, M., and Vaz, M. Pulmonary function electronic monitoring devices. Chest. 2005, Vol. 128, No. 3, 1258--1265.
[9]
Forlizzi, J., 2007. Product ecologies: Understanding the social dynamics of products. PhD dissertation, Carnegie Mellon University.
[10]
Glykasa, M. and Chytas, P. Technological innovations in asthma patient monitoring and care. Expert Systems with Applications. 2004, Vol. 27, 121--131.
[11]
Kamps, A., Roorda, R., and Brand, P. Peak flow diaries in childhood asthma are unreliable. Thorax. 2001, Vol. 56, 180--182.
[12]
Kerne, A. 2001. A model of interface ecology. PhD dissertation. New York University.
[13]
Lara, M., Duan, N., Sherbourne, C., Lewis, M., Landon, C., Halfon, N., and Brook, R. Differences between Child and Parent Reports of Symptoms among Latino Children with Asthma. Pediatrics. 1998, Vol. 102, No. 6, e68.
[14]
Loh, P., Surgerman-Brozan, J., Wiggins, S., Noiles, D., and Archibald, C. From Asthma to AirBeat: Community-Driven Monitoring of Fine Particles and Carbon in Roxbury, Massachusetts. Environmental Health Perspectives. 2002, Vol. 110, Suppl. 2, 297--301.
[15]
Nardi, B. and O'Day, V. 1999. Information ecologies: Using technology with heart. MIT Press.
[16]
Parkes, M., Panelli, R., and Weinstein, P. Converging Paradigms for Environmental Health Theory and Practice, Environmental Health Perspectives. 2003, Vol. 111, No. 5, 669--675.
[17]
Yawn, B., Fryer, G., Phillips, R., Dovey, S., Lanier, D., and Green, L. Using the ecology model to describe the impact of asthma on patterns of health care. BMC Pulmonary Medicine. 2005, 5:7.
[18]
http://www.cdc.gov (07/22/2009)
[19]
http://www.epa.gov/smokefree (07/22/2009)
[20]
http://www.gtri.gatech.edu/casestudy (07/22/2009)

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MobileHCI '09: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
September 2009
473 pages
ISBN:9781605582818
DOI:10.1145/1613858

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Association for Computing Machinery

New York, NY, United States

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Published: 15 September 2009

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Author Tags

  1. design
  2. environment
  3. health
  4. mobile technologies
  5. pediatric asthma management
  6. psychology

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MobileHCI '09 Paper Acceptance Rate 23 of 95 submissions, 24%;
Overall Acceptance Rate 202 of 906 submissions, 22%

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  • (2024)"Unrest and trauma stays with you!": Navigating mental health and professional service-seeking in KashmirProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642507(1-17)Online publication date: 11-May-2024
  • (2023)Beyond the Bulging Binder: Family-Centered Design of a Digital Health Information Management System for Caregivers of Children Living with Health ComplexityProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581459(1-19)Online publication date: 19-Apr-2023
  • (2022)Challenges, Tensions, and Opportunities in Designing Ecosystems to Support the Management of Complex Health NeedsExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3503714(1-7)Online publication date: 27-Apr-2022
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  • (2018)On designing a way-finding system to assist users with respiratory ailments and track symptomsProceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct10.1145/3236112.3236119(47-54)Online publication date: 3-Sep-2018
  • (2017)Even when Icons are Not Worth a Thousand Words They are Helpful in Designing Asthma mHealth ToolsHuman-Computer Interaction – INTERACT 201710.1007/978-3-319-67687-6_2(23-33)Online publication date: 21-Sep-2017
  • (2016)What's for Lunch?Proceedings of the 2016 ACM Conference on Designing Interactive Systems10.1145/2901790.2901793(1160-1171)Online publication date: 4-Jun-2016
  • (2015)The Use of Behavior Change Theory in Internet-Based Asthma Self-Management Interventions: A Systematic ReviewJournal of Medical Internet Research10.2196/jmir.411017:4(e89)Online publication date: 2-Apr-2015
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