Evaluation of User satisfaction toward Sitting Postures Detection System Using a Webcam

Abstract

Background: Prolonged sitting in an awkward posture in computer work may lead to musculoskeletal disorders (MSDs), especially in the neck, shoulders, back, and arms.

Objective: To evaluate computer users’ satisfaction with a motion posture detection system based on a webcam.

Materials and methods: A cross-sectional descriptive study using a questionnaire was completed by 60 computer users. The questionnaire data included demographic data and user satisfaction. Data were analyzed using frequency, percentage, mean, and standard deviation.

Results: The results revealed that most computer users were women (75.00%), with an average age of 36.57 years (SD = 17.07). The overall user satisfaction with the posture detection system was high, with an average rating of 3.80 (SD = 0.30). The five-part evaluation of user satisfaction, which included an easy-to-use interface, clarity of instructions, accuracy and correction, non-interference while working, and simplicity, showed high levels of satisfaction with means of 3.88, 3.92, 3.68, 3.90, and 3.92 and standard deviations of 0.32, 0.28, 0.62, 0.30, and 0.28, respectively.

Conclusion: Computer user satisfaction with the posture detection system was high, especially for items of clarity of instructions and easy-to-use interface. However, there should be testing of the effectiveness and validation of a motion posture detection system.