@inproceedings{krauter2024sitting,
	title = {Sitting Posture Recognition and Feedback: A Literature Review},
	author = {Christian Krauter and Katrin Angerbauer and Aim\'{e}e Sousa Calepso and Alexander Achberger and Sven Mayer and Michael Sedlmair},
	year = {2024},
	booktitle = {Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems},
	publisher = {Association for Computing Machinery},
	address = {New York, NY, USA},
	series = {CHI'24},
	doi = {10.1145/3613904.3642657},
	url = {https://sven-mayer.com/wp-content/uploads/2024/04/krauter2024sitting.pdf},
	date = {2024-05-11},
	abstract = {Extensive sitting is unhealthy; thus, countermeasures are needed to react to the ongoing trend toward more prolonged sitting. A variety of studies and guidelines have long addressed the question of how we can improve our sitting habits. Nevertheless, sitting time is still increasing. Here, smart devices can provide a general overview of sitting habits for more nuanced feedback on the user's sitting pos-ture. Based on a literature review (N=223), including publications from engineering, computer science, medical sciences, electronics, and more, our work guides developers of posture systems. There is a large variety of approaches, with pressure-sensing hardware and visual feedback being the most prominent. We found factors like environment, cost, privacy concerns, portability, and accuracy important for deciding hardware and feedback types. Further, one should consider the user's capabilities, preferences, and tasks. Re-garding user studies for sitting posture feedback, there is a need for better comparability and for investigating long-term effects.},
	keywords = {sitting posture, posture recognition, feedback systems, sedentary behavior, smart devices, health technology, literature review, pressure sensing, user studies, ergonomic interventions}
}