Toward Tailoring Just-in-Time Adaptive Intervention Systems for Workplace Stress Reduction: Exploratory Analysis of...

Area of Science:

• Digital Health
• Occupational Health Psychology
• Human-Computer Interaction

Background:

• Workplace stress impacts employee health and well-being.
• Ubiquitous work technologies offer opportunities for stress reduction interventions.
• Sensing-powered just-in-time adaptive intervention (JITAI) systems require analysis of contextual and individual variables for effective tailoring.

Purpose of the Study:

• Identify key tailoring variables for digital stress reduction microinterventions.
• Inform the design of JITAI systems for workplace stress management.
• Enhance employee engagement with stress reduction interventions.

Main Methods:

• Analyzed data from a 4-week deployment of a JITAI system with 43 participants.
• Evaluated 27 trait, state, and intervention-related factors across 1585 interventions.
• Used logistic regression to identify factors influencing engagement, choice, rating, and stress reduction.

Main Results:

• Individual factors (e.g., agreeableness, neuroticism, cognitive reappraisal) and intervention types (prompt-based, video-based) significantly influenced stress reduction.
• Workplace contextual signals (e.g., meeting counts) and engagement skewness were associated with lower engagement.
• Rescheduling interventions increased engagement.

Conclusions:

• JITAI systems can integrate timely workplace support.
• Recommend incorporating individual, contextual, and content-based factors into JITAI systems.
• Monitor for ineffective engagements across subgroups and contexts to optimize JITAI systems.