PosProjector: An Ambient Projection Notification System for Posture Correction During Desk-Based Study

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Authors: Mingqing Xu, Zhongyue Zhang, Zhiyuan Xia, Chao Liu, Mingming Fan
Cited by: 1
References: 67

Abstract

Poor posture during desk-based learning activities can lead to many health issues, such as spinal problems, musculoskeletal discomfort, and myopia. While traditional posture correction systems use immediate feedback to notify users of their wrong posture, they often disrupt users’ concentration. This study explores an ambient projection notification system for non-intrusive posture correction notifications during desk-based learning scenarios. Through a notification elicitation study and an expert co-design workshop, we investigated users’ perception towards basic elements of projection notification and derived a design space for desk-based projection notification. We then implemented and evaluated PosProjector, an ambient projection notification system, by applying two notification strategies that embody the most representative dimensions of the design space. Results showed that PosProjector can improve users’ posture with little task interference and support various media, including paper and tablets. We further discussed the implications of how to design the least intrusive projection notification system for posture correction.

Fields of Study & Subjects

Ergonomics and Musculoskeletal Disorders Context-Aware Activity Recognition Systems Interactive and Immersive Displays

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–20
Publication date
13 April 2026
Language
EN