Accepted for/Published in: JMIR mHealth and uHealth
Date Submitted: Jan 21, 2020
Open Peer Review Period: Jan 22, 2020 - Jan 28, 2020
Date Accepted: Jun 3, 2020
(closed for review but you can still tweet)
Internet of Things-enabled sedentary behavior change in office workers: design and development of the WorkMyWay intervention
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 (IoT). However, little is known about how to develop interventions involving IoT technologies.
This paper reports the design and development of an IoT-enabled SB intervention targeting office workers.
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.
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, an LED reminder device attached to a vessel (ie. water bottle or cup), and a companion Android App connected to both devices over Bluetooth connection. 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 system.
This is the first study to demonstrate that it is possible to develop a complex IoT-enabled intervention by applying a combination of the Behavior Change Wheel (BCW) and human-centered design (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.
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