Exploring Smart Standing Desks to Foster a Healthier Workplace

Author:

Haliburton Luke1ORCID,Kheirinejad Saba2ORCID,Schmidt Albrecht3ORCID,Mayer Sven3ORCID

Affiliation:

1. LMU Munich, Frauenlobstr. 7a, Munich, Germany and Munich Center for Machine Learning (MCML), Munich, Germany

2. University of Oulu, Oulu, Finland

3. LMU Munich, Munich, Germany and Munich Center for Machine Learning (MCML), Munich, Germany

Abstract

Sedentary behavior is endemic in modern workplaces, contributing to negative physical and mental health outcomes. Although adjustable standing desks are increasing in popularity, people still avoid standing. We developed an open-source plug-and-play system to remotely control standing desks and investigated three system modes with a three-week in-the-wild user study (N=15). Interval mode forces users to stand once per hour, causing frustration. Adaptive mode nudges users to stand every hour unless the user has stood already. Smart mode, which raises the desk during breaks, was the best rated, contributing to increased standing time with the most positive qualitative feedback. However, non-computer activities need to be accounted for in the future. Therefore, our results indicate that a smart standing desk that shifts modes at opportune times has the most potential to reduce sedentary behavior in the workplace. We contribute our open-source system and insights for future intelligent workplace well-being systems.

Funder

Bavarian Research Alliance

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

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