Understanding the Context of Sit-Stand Desk Usage for Promoting Healthy and Productive Behaviors

Abstract

Understanding the context of sit-stand desk usage is crucial for fostering healthier and more productive workplace behaviors. We conducted a 15-day study involving ten graduate students engaged in desk-based knowledge work, collecting comprehensive physical, work-related, and personal context data using desk height logs, screen activity tracking, and self-reported intention metrics. Our analysis revealed no significant differences in standing ratios across productive, neutral, and distracting work states, suggesting personal routines strongly influence posture choices. Notifications significantly increased standing durations without compromising productivity, demonstrating the effectiveness of timely prompts. Utilizing an XGBoost regression model, we successfully imputed sparse intention data with high reliability, highlighting physical and personal contexts as key predictors. This research provides valuable insights and methodologies for developing intelligent, context-aware posture interventions. By integrating quantitative findings with qualitative feedback, we offer a framework for future ergonomic systems aimed at optimizing health benefits and workplace productivity.

Keywords

artificial intelligence postural intervention sit-stand desk

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