2020Ergonomics in Design The Quarterly of Human Factors ApplicationsRequires access

Measurement of Sit-Stand Desk Usage by Desk-Mounted Sensors

Daniel Viggiani, Jeffery M. Barrett, E Will, Jack P. Callaghan

Open publisher page 4 citations

Abstract

Quantifying user behaviors at sit-stand desks is critical to understanding the efficacy of these workstations to reduce exposures to prolonged sitting or standing. A custom after-market desk-mounted sensor predicting sit-stand desk use by measuring desk floor heights, desk user distances, and the temperature in front of the desk was tested. The authors performed sensor component testing, a survey of desk height ranges, and a logistic model to estimate gross posture and user presence with a 95.6% accuracy rate. This approach can aid researchers and ergonomists in understanding sit-stand desk use in the field, with the end goal of reducing sedentary work activities.

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What this paper is about

Quantifying user behaviors at sit-stand desks is critical to understanding the efficacy of these workstations to reduce exposures to prolonged sitting or standing. A custom after-market desk-mounted sensor predicting sit-stand desk use by measuring desk floor heights, desk user distances, and the temperature in front of the desk was tested. The authors performed sensor component testing, a survey of desk height ranges, and a logistic model to estimate gross posture and user presence with a 95.6% accuracy rate. This approach can aid researchers and ergonomists in understanding sit-stand desk use in the field, with the end goal of reducing sedentary work activities.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Quantifying user behaviors at sit-stand desks is critical to understanding the efficacy of these workstations to reduce exposures to prolonged sitting or standing. A custom after-market desk-mounted sensor predicting sit-stand desk use by measuring desk floor heights, desk user distances, and the temperature in front of the desk was tested. The authors performed sensor component testing, a survey of desk height ranges, and a logistic model to estimate gross posture and user presence with a 95.6% accuracy rate. This approach can aid researchers and ergonomists in understanding sit-stand desk use in the field, with the end goal of reducing sedentary work activities.

Key concepts: Desk, Computer science, Work (physics), Engineering, Simulation, Human–computer interaction, Mechanical engineering, Operating system

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