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Completed

NCT Number: NCT07209553

AI-Powered Micro-Breaks at Work

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.

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Key information

Age range

18 year–60 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

West University of Timisoara

Timișoara, Timiș County, 300223, Romania

About this study

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.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Employees between the ages of 18-60 years' old
  • Full-time working entirely from home (home office)
  • Have a PC or laptop and basic digital competencies
  • Proficient in English language

Exclusion criteria

  • Other work arrangements such as shift-work, part-time work
  • Unable to access the internet/computer/install Slack app (Yes/No questions)
  • No proficiency for English
  • Not working mainly from a desk (e.g., fieldwork)
  • Current health issues (current pregnancy, any neurological, vascular, or acute musculoskeletal condition or any disease or symptom)

Treatment and study plan

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.

Primary outcomes

  1. Satisfaction with the intervention

    Time frame: Post-intervention (1 week).

    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.

  2. System usability

    Time frame: Post-intervention (1 week)

    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.

  3. Treatment adherence

    Time frame: Post-intervention only (1 week)

    Dropout rate and frequency of app usage.

  4. Vigor

    Time frame: Change from baseline to post-test (1 week; 5 workdays)

    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).

  5. Focus

    Time frame: Change from baseline to post-test (1 week; 5 workdays).

    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).

  6. Physical (dis)comfort

    Time frame: Change from baseline to post-test (1 week; 5 workdays)

    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.

  7. Positive and negative affect

    Time frame: Change from baseline to post-test (1 week; 5 workdays)

    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.

Other outcomes

  1. Physical activity during work

    Time frame: Baseline only

    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)

  2. Before and/or after-work physical activities

    Time frame: Baseline only

    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.

  3. Sociodemographic information

    Time frame: Baseline only

    Age, gender, background, educational level, average monthly income, work experience, etc.

Sponsors and collaborators

Lead sponsor

West University of Timisoara

Other

Registry information

Official study title

"Smart Breaks" During Working Hours: Feasibility of an AI-Based Application to Enhance Well-Being Through Active Micro-Breaks Among Office Workers

Important dates

Study start
2025
Primary completion
2025
Study completion
2025
First posted
Oct 7, 2025
Registry last updated
Oct 7, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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