Lune

CHI2024Top-tier venue

Enhancing Home Exercise Experiences with Video Motion-Tracking for Automatic Display Height Adjustment

Xinyu Chen, Yuqi Li, Jintao Chen, Jiabao Li, Chong Wang, Pinyan Tang

2024Year
2Citations
1Top-tier citations

Abstract

The increasing demand for home fitness solutions underscores the need for interactive displays that enhance user experiences. This study introduces a technology that autonomously adjusts display height using the skeletal information of demonstrators from videos, catering to home fitness needs. A user study involving thirty participants compared fixed height, manual adjustment, and automatic adjustment conditions. Head flexion angles and NASA-TLX survey responses were used for evaluation. Results showed a significant reduction in head flexion angles with automatic adjustment, promoting proper spinal alignment. NASA-TLX responses indicated lower mental, effort, and frustration ratings, along with improved performance and perceived support in the automatic adjustment condition compared to other conditions. These findings confirm that motion-based height adjustment improves posture and enhances the overall interactive experience. This research demonstrates the feasibility of integrating responsive ergonomics into interactive displays and suggests the importance of further personalization, conducting diverse user studies, and refining algorithms to fully leverage the potential of this technology.

Ask about this paper

Ask your agent about it.

Lune has read the top-tier papers around this one, so every answer names the papers it rests on.

Questions to start from

Your agent calls

Lunesearch_papers

Ask in Lune

Free to start. No credit card required.

lune papers get 0b70dc9e-fa20-448c-a1d7-60e65fb97522

Cited by top-tier papers1

Ask how each one uses it

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines