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This study evaluates the feasibility of an online intervention based on artificial intelligence-the Movebite app integrated into the Slack platform-aimed at promoting engagement in micro-breaks involving physical activity, with the goal of enhancing workplace well-being and reducing musculoskeletal discomfort among remote workers.
Remote and hybrid work have intensified sedentary behavior, increasing the risk of professional burnout and negatively affecting employee health. This study investigates the feasibility and accessibility of the Movebite app, an AI-based tool integrated into Slack, designed to encourage active micro-breaks. Through a one-arm, pre-test post-test design, we evaluate the feasibility and usability of the AI-based virtual coach and its relevance for well-being of employees working from home.
This research contributes to the development and promotion of empirically grounded solutions in the field of occupational health psychology, testing an innovative technological approach to reduce the negative impact of sedentary work.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Intervention | Experimental | The intervention involved using the Mobi AI coach to set up and engage in active micro-breaks over five consecutive working days. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Mobi | Device | Mobi is a conversational AI coach that serves as an occupational health coach for employees. Through coaching conversations, Mobi gets to know each employee and help them set micro-goals to work towards their overall health goal/objective. Mobi suggests small, personalized activities for the micro-breaks that align with these goals. To ensure ease of use it is integrated into Slack and MS Teams. |
| Measure | Description | Time Frame |
|---|---|---|
| Satisfaction with the intervention | Seven additional items are open-ended and will be analyzed qualitatively. These items allow participants to elaborate on what aspects of the program they found most or least valuable, describe their experience with communication tools within the intervention, and offer suggestions for improvement. | Post-intervention (1 week). |
| System usability | We will use a 10 item questionnaire (Bangor et al., 2009) designed to measure participants' satisfaction with Mobi, the AI health coach. The total score of System Usability Scale is 0 and the highest one is 100. A higher score means a better outcome. | Post-intervention (1 week) |
| Treatment adherence | Dropout rate and frequency of app usage. | Post-intervention only (1 week) |
| Vigor | Vigor refers to a positive affective state experienced at work. It will be assessed using five items from the Physical Strength subscale of the instrument developed by Shirom (2003). A higher score means a better outcome (i.e., increased employee vigor). | Change from baseline to post-test (1 week; 5 workdays) |
| Focus | Focus refers to an employee's capacity to maintain attention and mental clarity while working. It will be assessed using five items from the Cognitive Liveliness subscale of the instrument developed by Shirom (2003). A higher score indicates a better outcome (i.e., increased cognitive focus at work). | Change from baseline to post-test (1 week; 5 workdays). |
| Physical (dis)comfort | Physical discomfort (musculoskeletal pain) will be measured using a single-item instrument based on the Visual Analog Scale (VAS) (Häfeli & Elfering, 2006). The VAS is a widely used and validated method for assessing subjective physical symptoms such as pain intensity. Participants will indicate their level of discomfort by marking a point along a continuum, reflecting their experience over the past week. Higher scores indicate greater musculoskeletal discomfort. |
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| Measure | Description | Time Frame |
|---|---|---|
| Physical activity during work | What employees currently do to stay active during working hours (i.e., stretching, short walks, taking the stairs, using a standing desk, scheduled workout sessions during work, other) | Baseline only |
| Before and/or after-work physical activities |
Inclusion Criteria:
Exclusion Criteria:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| West University of Timisoara | Timișoara | Timiș County | 300223 | Romania |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| Result | Bangor, A., Miller, J. & Kortum, P. (2009). Determining what individual SUS scores mean: Adding an adjective rating scale. Journal of Usability Studies, 4(3), 114-123. Retrieved from http://uxpajournal.org/determining-what-individual-sus-scores-mean-adding-an-adjective-rating-scale/ | ||
| Result | Shirom, A. (2003). Feeling vigorous at work? The construct of vigor and the study of positive affect in organizations. In Emotional and physiological processes and positive intervention strategies (pp. 135-164). Emerald Group Publishing Limited. | ||
| 3397865 | Result | Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol. 1988 Jun;54(6):1063-70. doi: 10.1037//0022-3514.54.6.1063. | |
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| Change from baseline to post-test (1 week; 5 workdays) |
| Positive and negative affect | Affect will be measured using the Positive Affect subscale from the Positive and Negative Affect Schedule (PANAS; Watson, Clark, & Tellegen, 1988). This scale assesses the extent to which individuals have experienced a range of positive emotions (e.g., enthusiastic, inspired, alert) over the past week. Participants rate each item on a 5-point scale, from "Very slightly or not at all" to "Extremely." Higher scores reflect a higher level of positive emotional experience. | Change from baseline to post-test (1 week; 5 workdays) |
To assess participants' engagement in physical activity outside working hours, we included two binary (Yes/No) items referring to typical weekly behaviors. The first item evaluates whether participants engage in light movement after work hours (e.g., walking, stretching), while the second item assesses participation in regular, scheduled workout sessions either before or after the workday. These items aim to provide a brief overview of participants' physical activity routines that may contribute to their overall well-being and complement the effects of the intervention. |
| Baseline only |
| Sociodemographic information | Age, gender, background, educational level, average monthly income, work experience, etc. | Baseline only |
| Result |
| Haefeli M, Elfering A. Pain assessment. Eur Spine J. 2006 Jan;15 Suppl 1(Suppl 1):S17-24. doi: 10.1007/s00586-005-1044-x. Epub 2005 Dec 1. |