Using Internet of Things to Reduce Office Workers’ Sedentary Behavior: Intervention Development Applying the Behavior Change Wheel and Human-Centered Design Approach
Huang, Yitong; Benford, Steve; Price, Dominic; Patel, Roma; Li, Benqian ; Ivanov, Alex; Blake, Holly
STEVE BENFORD firstname.lastname@example.org
Dunford Chair in Computer Science
DOMINIC PRICE email@example.com
HOLLY BLAKE firstname.lastname@example.org
Professor of Behavioural Medicine
Background: Sedentary behavior (SB) is associated with various adverse health outcomes. The prevalence of prolonged sitting at work among office workers makes a case for SB interventions to target this setting and population. Everyday mundane objects with embedded microelectronics and ubiquitous computing represent a novel mode of delivering health behavior change interventions enabled by internet of things (IoTs). However, little is known about how to develop interventions involving IoT technologies.
Objective: This paper reports the design and development of an IoT-enabled SB intervention targeting office workers.
Methods: The process was guided by the behavior change wheel (BCW), a systematic framework for theory-informed and evidence-based development of behavior change interventions, complemented by the human-centered design (HCD) approach. Intervention design was shaped by findings from a diary-probed interview study (n=20), a stakeholder design workshop (n=8), and a series of theoretical mapping and collaborative technical design activities.
Results: The resulting intervention named WorkMyWay targets a reduction in office workers' prolonged stationary behaviors at work and an increase in regular breaks by modifying behavioral determinants in 11 theoretical domains with 17 behavior change techniques. The delivery technology consists of a wearable activity tracker, a light-emitting diode reminder device attached to a vessel (ie, water bottle or cup), and a companion Android app connected to both devices over Bluetooth. The delivery plan consists of a 2-week baseline assessment, a 30-min face-to-face action planning session, and 6-week self-directed use of the delivery technology.
Conclusions: This is the first study to demonstrate that it is possible to develop a complex IoT-enabled intervention by applying a combination of the BCW and HCD approaches. The next step is to assess the feasibility of WorkMyWay prior to testing intervention efficacy in a full-scale trial. The intervention mapping table that links individual intervention components with hypothesized mechanisms of action can serve as the basis for testing and clarifying theory-based mechanisms of action in future studies on WorkMyWay.
Huang, Y., Benford, S., Price, D., Patel, R., Li, B., Ivanov, A., & Blake, H. (2020). Using Internet of Things to Reduce Office Workers’ Sedentary Behavior: Intervention Development Applying the Behavior Change Wheel and Human-Centered Design Approach. JMIR mHealth and uHealth, 8(7), Article e17914. https://doi.org/10.2196/17914
|Journal Article Type
|Jun 3, 2020
|Online Publication Date
|Jul 29, 2020
|Jun 16, 2020
|Publicly Available Date
|Jul 29, 2020
|JMIR mHealth and uHealth
|Internet of Things; sedentary behavior; workplace; behavior change intervention; just-in-time adaptive intervention
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