Eulim Sull
Youn-kyung Lim
ABSTRACT
Health-related IT products (e.g., Fitbit) support persuasive technologies to reinforce an individual's desired behaviors. While these products are dedicated to certain health behaviors, such as walking or specific types of sports, IoT at home can be integrated more broadly throughout one's daily life. To address this opportunity, this paper aims to shed light on the use of domestic IoT that can foster changes toward healthy behaviors through a 3-week explorative field trial. This paper reports two major goals of health-promoting technologies using IoT as well as different persuasive techniques according to the temporal phases of before, during, and after the health behaviors.
- Sunny Consolvo, David W. McDonald, and James A. Landay. 2009. Theory-driven design strategies for technologies that support behavior change in everyday life. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '09). ACM, New York, NY, USA, 405414. Google Scholar
Digital Library
- Nediyana Daskalova, Danaë Metaxa-Kakavouli, Adrienne Tran, Nicole Nugent, Julie Boergers, John McGeary, and Jeff Huang. 2016. SleepCoacher: A Personalized Automated Self-Experimentation System for Sleep Recommendations. In Proceedings of the 29th Annual Symposium on User Interface Software and Technology (UIST '16). 347--358. Google ScholarDigital Library
- Michela Ferron and Paolo Massa. 2013. Transtheoretical model for designing technologies supporting an active lifestyle. In Proceedings of the Biannual Conference of the Italian Chapter of SIGCHI (CHItaly '13). 7--8 Google ScholarDigital Library
- Flic. Retrieved January 11, 2018 from https://flic.io/Google Scholar
- Stephen S. Intille. 2004. Ubiquitous computing technology for just-in-time motivation of behavior change. Stud. Health Technol. Inform 107, Pt 2: 1434--1437.Google Scholar
- Jisoo Lee, Erin Walker, Winslow Burleson, Matthew Kay, Matthew Buman, and Eric B. Hekler. 2017. Self-Experimentation for Behavior Change: Design and Formative Evaluation of Two Approaches. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17). 6837--6849. Google ScholarDigital Library
- LIFX. Retrieved January 11, 2018 from https://www.lifx.com/Google Scholar
- Sense Mother. Retrieved January 11, 2018 from https://sen.se/store/mother/Google Scholar
- Steve Sussman. 2000. Handbook of program development for health behavior research and practice. SAGE Publications.Google Scholar
- Jong-bum Woo and Youn-kyung Lim. 2015. User experience in do-it-yourself-style smart homes. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '15). 779--790. Google ScholarDigital Library
Index Terms
- Designing Health-Promoting Technologies with IoT at Home
Recommendations
Delivering home healthcare through a Cloud-based Smart Home Environment (CoSHE)
The dramatic increase of senior population worldwide is challenging the existing healthcare and support systems. Recently, smart home environments are utilized for ubiquitous health monitoring, allowing patients to stay at the comfort of their homes. In ...
Enablement of IoT Based Context-Aware Smart Home with Fog Computing
The recent advent of Internet of Things IoT, has given rise to a plethora of smart verticals-smart homes being one of them. Smart Home is a classic example of IoT, wherein smart appliances connected via home gateways constitute a local home network to ...
Designing IoT Solutions for Elderly Home Care: A Systematic Study of Participatory Design, Personas and Semiotics
Universal Access in Human-Computer Interaction. Virtual, Augmented, and Intelligent EnvironmentsAbstractPopulation aging is one of the most difficult challenges in the next years. The increase of life expectancy is one of the most important human achievements in the 21st century. Despite this achievement, it is also an important technological ...
Comments