Skip to main content

Gamification of Eye Exercises for Evaluating Eye Fatigue

  • Conference paper
  • First Online:
Artificial Intelligence and Soft Computing (ICAISC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11509))

Included in the following conference series:

Abstract

Extensive use of computer and mobile devices places large burden on our eyes. To tackle the symptoms of digital eye strain and improve eyesight, the use of eye exercises are suggested. However, few people do eye exercising as it is considered boring. In this paper we apply a serious game approach to eye exercising. We developed a PacMan style game to promote horizontal and vertical eye movements. Eye and game performance characteristics are collected during the game and used to evaluate the onset of eye fatigue during the game. The damped oscillation model is applied to observe the learning and fatigue effects. Analysis of data collected during game sessions from 14 subjects is presented.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Statista: the statistics portal: Daily time spent on mobile by Millennial internet users worldwide from 2012 to 2017 (in minutes) (2018). https://www.statista.com/statistics/283138/millennials-daily-mobile-usage/

  2. eMarketer: US Adults Now Spend 12 Hours 7 Minutes a Day Consuming Media (2017). https://www.emarketer.com/Article/US-Adults-Now-Spend-12-Hours-7-Minutes-Day-Consuming-Media/1015775

  3. Korytkowski, M.: Novel visual information indexing in relational databases. Integr. Comput.-Aided Eng. 24(2), 119–128 (2017)

    Article  Google Scholar 

  4. Tosini, G., Ferguson, I., Tsubota, K.: Effects of blue light on the circadian system and eye physiology. Mol Vis. 2016(22), 61–72 (2016)

    Google Scholar 

  5. Grycuk, R., Najgebauer, P., Scherer, R., Siwocha, A.: Architecture of database index for content-based image retrieval systems. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J. (eds.) ICAISC 2018. LNCS (LNAI), vol. 10842, pp. 36–47. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-91262-2_4

    Chapter  Google Scholar 

  6. Inomata, T., et al.: Changes in distribution of dry eye disease by the new 2016 diagnostic criteria from the Asia dry eye society. Sci. Rep. 8(1918) (2018). https://doi.org/10.1038/s41598-018-19775-3

  7. Moon, J.H., Kim, K.W., Moon, N.J.: Smartphone use is a risk factor for pediatric dry eye disease according to region and age: a case control study. BMC Ophthalmol. 16(1), 188 (2016). https://doi.org/10.1186/s12886-016-0364-4

    Article  Google Scholar 

  8. Lin, Z., et al.: Eye exercises of acupoints: their impact on myopia and visual symptoms in Chinese rural children. BMC Complement. Altern. Med. 16(1), 349 (2016). https://doi.org/10.1186/s12906-016-1289-4

    Article  Google Scholar 

  9. Kim, S.: Effects of yogic eye exercises on eye fatigue in undergraduate nursing students. J. Phys. Ther. Sci. 28(6), 1813–1815 (2016). https://doi.org/10.1589/jpts.28.1813

    Article  Google Scholar 

  10. Gabryel, M.: The bag-of-words methods with pareto-fronts for similar image retrieval. In: Damaševičius, R., Mikašytė, V. (eds.) ICIST 2017. CCIS, vol. 756, pp. 374–384. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67642-5_31

    Chapter  Google Scholar 

  11. Kerkhoff, G., Keller, I., Ritter, V., Marquardt, C.: Repetitive optokinetic stimulation induces lasting recovery from visual neglect. Restor. Neurol. Neurosci. 24(4–6), 357–369 (2006)

    Google Scholar 

  12. Di Noto, P., Uta, S., DeSouza, J.F.X.: Eye exercises enhance accuracy and letter recognition, but not reaction time, in a modified rapid serial visual presentation task. PLoS ONE 8(3), e59244 (2013). https://doi.org/10.1371/journal.pone.0059244

    Article  Google Scholar 

  13. Xiaoxiao, W., Jingjing, W.: Investigation and analysis on health care knowledge attitude and behavior of university students for myopia. Chin. Gen. Nurs. 9, 2257 (2011)

    Google Scholar 

  14. Kang, M., et al.: Chinese eye exercises and myopia development in school age children: a nested case-control study. Sci. Rep. 6, 28531 (2016). https://doi.org/10.1038/srep28531

    Article  Google Scholar 

  15. Wouters, P., van Nimwegen, C., van Oostendorp, H., van Der Spek, E.D.: A meta-analysis of the cognitive and motivational effects of serious games. J. Educ. Psychol. 105(2), 249–265 (2013). https://doi.org/10.1037/a0031311

    Article  Google Scholar 

  16. Danevicius, E., Maskeliunas, R., Damaševicius, R., Polap, D., Wožniak, M.: A soft body physics simulator with computational offloading to the cloud. Inf. (Switzerland) 9(12), 318 (2018). https://doi.org/10.3390/info9120318

    Article  Google Scholar 

  17. Rodin, A., Shachak, A., Miller, A., Akopyan, V., Semenova, N.: Mobile apps for eye care in Canada: an analysis of the iTunes store. JMIR mHealth uHealth 5(6), e84 (2017). https://doi.org/10.2196/mhealth.7055

    Article  Google Scholar 

  18. Nabin, P.: Smartphone applications for amblyopia treatment: a review of current apps and professional involvement. Telemed. e-Health 24(10) (2018). https://doi.org/10.1089/tmj.2017.0220

    Article  Google Scholar 

  19. Wu, G., et al.: New software, “OKN-dot Test” for visual rehabilitation for eye patients. Invest. Ophthalmol. Vis. Sci. 55(13), 2569 (2014)

    Google Scholar 

  20. Lohr, D.J., Abdulin, E., Komogortsev, O.V.: Detecting the onset of eye fatigue in a live framework. In: Eye Tracking Research and Applications Symposium (ETRA), vol. 14, pp. 315–316 (2016). https://doi.org/10.1145/2857491.2884058

  21. Gabryel, M.: Data analysis algorithm for click fraud recognition. In: Damaševičius, R., Vasiljevienė, G. (eds.) ICIST 2018. CCIS, vol. 920, pp. 437–446. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-99972-2_36

    Chapter  Google Scholar 

  22. Thilanka, L.G.A., Ekanayake, Y., Weerasinghe, A.R.:. Personalized eye fatigue detection for mobile users. In: 16th International Conference on Advances in ICT for Emerging Regions, ICTer 2016, pp. 296–303 (2017). https://doi.org/10.1109/icter.2016.7829934

  23. Wang, Y., et al.: Eye fatigue assessment using unobtrusive eye tracker. IEEE Access 6, 55948–55962 (2018). https://doi.org/10.1109/ACCESS.2018.2869624

    Article  Google Scholar 

  24. Vasiljevas, M., Gedminas, T., Ševčenko, A., Jančiukas, M., Blažauskas, T., Damaševičius, R.: Modelling eye fatigue in gaze spelling task. In: 2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing, ICCP 2016, pp. 95–102 (2016). https://doi.org/10.1109/iccp.2016.7737129

  25. Hellard, P., Avalos, M., Lacoste, L., Barale, F., Chatard, J., Millet, G.P.: Assessing the limitations of the banister model in monitoring training. J. Sports Sci. 24(5), 509–520 (2006). https://doi.org/10.1080/02640410500244697

    Article  Google Scholar 

  26. Brunyé, T.T., Mahoney, C.R., Augustyn, J.S., Taylor, H.A.: Horizontal saccadic eye movements enhance the retrieval of landmark shape and location information. Brain Cogn. 70, 279–288 (2009). https://doi.org/10.1016/j.bandc.2009.03.003

    Article  Google Scholar 

  27. Dormans, J.: Simulating mechanics to study emergence in games. In: Artificial Intelligence in the Game Design Process, vol. 2, no. 6.2, p. 5-2 (2011)

    Google Scholar 

  28. Shneiderman, B., Plaisant, C.: Designing the User Interface - Strategies for Effective Human-Computer Interaction, 5th edn. Addison-Wesley, Boston (2010)

    Google Scholar 

  29. Calvert, T.W., Banister, E.W., Savage, M.V.: A systems model of the effects of training on physical performance. SMC Syst. Man Cybern. 2, 94–102 (1976)

    Article  Google Scholar 

  30. Damasevicius, R., Martisius, I., Jusas, V., Birvinskas, D.: Fractional delay time embedding of EEG signals into high dimensional phase space. Electron. Electr. Eng. 20(8), 55–58 (2014). https://doi.org/10.5755/j01.eee.20.8.8441

    Article  Google Scholar 

  31. Damasevicius, R., Vasiljevas, M., Martisius, I., Jusas, V., Birvinskas, D., Wozniak, M.: BoostEMD: an extension of EMD method and its application for denoising of EMG signals. Electron. Electr. Eng. 21(6), 57–61 (2015). https://doi.org/10.5755/j01.eee.21.6.13763

    Article  Google Scholar 

Download references

Acknowledgement

The Authors would like to acknowledge contribution to this research from the “Diamond Grant 2016” No. 0080/DIA/2016/45 funded by the Polish Ministry of Science and Higher Education.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mindaugas Vasiljevas .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Vasiljevas, M., Damaševičius, R., Połap, D., Woźniak, M. (2019). Gamification of Eye Exercises for Evaluating Eye Fatigue. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2019. Lecture Notes in Computer Science(), vol 11509. Springer, Cham. https://doi.org/10.1007/978-3-030-20915-5_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-20915-5_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20914-8

  • Online ISBN: 978-3-030-20915-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics