A Study of User Experience of Angle Recognition Designed to Correct People’s Poor Posture when Using Smart Phones

  • Shuyuan ZhangEmail author
  • Zhanxun Dong
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 972)


Billions of people in the world are using smart phones, essentially in poor posture, which will cause great damage to the cervical spine. The purpose of the paper is to help people correct poor posture when using smart phones in a way that has a good user experience. The approach we adopt to solve the problem is to judge whether the user’s head posture is in a poor position by identifying the Angle state of the smart phone, and if the user keeps a poor posture for a while, an intervention will be adopted to adjust his posture. A two-part experiment was conducted to evaluate the user experience of Angle recognition. The results show that user’s time in poor posture is significantly reduced when using angle recognition. The study also suggests that user experience is better when using text plus animation to guide users correct their posture. At last, this study points out the direction of future improvement.


User experience Angle recognition Smart phone Posture 


  1. 1.
    Hansraj, K.K.: Assessment of stresses in the cervical spine caused by posture and position of the head. J. Surg. Technol. Int. 25(25), 277-9 (2014)Google Scholar
  2. 2.
    Guan, X., et al.: Photographic measurement of head and cervical poture when viewing mobile phone: a pilot study. J. Eur. Spine J. 24(12), 2892–2898 (2015)CrossRefGoogle Scholar
  3. 3.
    AlZarea, B.K., Patil, S.R.: Mobile phone head and neck pain syndrome: proposal of a new entity. J. Headanche 251, 63.3 (2015)Google Scholar
  4. 4.
    Kim, S.-Y., Koo, S.-J.: Effect of duration of smartphone use on muscle fatigue and pain caused by forward head posture in adults. J. Phys. Ther. Sci. 28(6), 1669–1672 (2016)CrossRefGoogle Scholar
  5. 5.
    Bazazan, A., et al.: Effect of a posture correction–based intervention on musculoskeletal symptoms and fatigue among control room operators. J. Appl. Ergon. 76, 12–19 (2019)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.School of DesignShanghai Jiao Tong UniversityShanghaiChina

Personalised recommendations