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Intelligent Sustainable Systems pp 675–686Cite as

User Experience Analysis in Obstacle Clearance Tasks in Virtual and Mixed Reality Environments

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 579))

Abstract

Lower body tracking and user experience analysis are ongoing challenges in immersive technologies and biomechanics research, respectively. Particularly, in immersive technologies like mixed reality, there are limited research applications in user comfort and experience, and locomotion. In this paper, we aimed to conduct a cross-disciplinary research (by combining the elements of  Biomechanics and human–computer interaction) in understanding the impact of user experience and immersive technologies induced symptoms in virtual and mixed reality environments for obstacle clearance tasks. For this, we created obstacle clearance applications for Oculus Quest and Microsoft HoloLens. Also, we conducted a user study with 12 participants under two conditions (virtual reality and mixed reality) in obstacle clearance behavior of varying heights. The results from our study indicated that the levels of immersion and enjoyment were significantly higher in virtual reality compared to mixed reality. In terms of virtual reality-induced symptoms, the participants found the mixed reality environment to be slightly more comfortable than virtual reality.

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References

  1. Ahuja, K., Shen, V., Fang, C.M., Riopelle, N., Kong, A., Harrison, C.: Controllerpose: inside-out body capture with VR controller cameras. In: CHI Conference on Human Factors in Computing Systems. CHI’22. Association for Computing Machinery, New York, NY, USA (2022). https://doi.org/10.1145/3491102.3502105

  2. Asadzadeh, A., Samad-Soltani, T., Salahzadeh, Z., Rezaei-Hachesu, P.: Effectiveness of virtual reality-based exercise therapy in rehabilitation: a scoping review. Inform. Med. Unlock. 24, 100562 (2021). https://www.sciencedirect.com/science/article/pii/S2352914821000526

  3. Chang, E., Kim, H.T., Yoo, B.: Virtual reality sickness: a review of causes and measurements. Int. J. Human-Comput. Interaction 36(17), 1658–1682 (2020). https://doi.org/10.1080/10447318.2020.1778351

  4. Coolen, B., Beek, P., Geerse, D., Roerdink, M.: Avoiding 3d obstacles in mixed reality: does it differ from negotiating real obstacles? Sensors 20, 1095 (2020)

    Google Scholar 

  5. Gasteiger, N., van der Veer, S.N., Wilson, P., Dowding, D.: Exploring how, for whom and in which contexts extended reality training ‘works’ in upskilling healthcare workers: a realist review. In: 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), pp. 734–735 (2022)

    Google Scholar 

  6. Girardi, R., de Oliveira, J.C.: Virtual reality in army artillery observer training. In: 2019 21st Symposium on Virtual and Augmented Reality (SVR), pp. 25–33 (2019)

    Google Scholar 

  7. Gu, L., Yin, L., Li, J., Wu, D.: A real-time full-body motion capture and reconstruction system for VR basic set. In: 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), vol. 5, pp. 2087–2091 (2021)

    Google Scholar 

  8. Janeh, O., Langbehn, E., Steinicke, F., Bruder, G., Gulberti, A., Poetter-Nerger, M.: Walking in virtual reality: effects of manipulated visual self-motion on walking biomechanics. ACM Trans. Appl. Percept. 14(2) (2017). https://doi.org/10.1145/3022731

  9. Kamińska, M., Miller, A., Rotter, I., Szylińska, A., Grochans, E.: The effectiveness of virtual reality training in reducing the risk of falls among elderly people. Clin. Interventions Aging 13, 2329–2338 (2018)

    Google Scholar 

  10. Ko, S., Jerome, G.J., Simonsick, E.M., Ferrucci, L.: Obstacle-crossing task-related usual gait patterns of older adults differentiating falls and gait ability. J. Aging Phys. Activity 28(5), 675–679 (2020). https://journals.humankinetics.com/view/journals/japa/28/5/article-p675.xml

  11. Kourtesis, P., Collina, S., Doumas, L.A.A., MacPherson, S.E.: Validation of the virtual reality neuroscience questionnaire: maximum duration of immersive virtual reality sessions without the presence of pertinent adverse symptomatology. Front. Human Neurosci. 13 (2019). https://www.frontiersin.org/article/10.3389/fnhum.2019.00417

  12. Lara-Prieto, V., Ruiz-Cantisani, M.I., Mourgues, C., Pinzón-Salcedo, L.A., Bernal-Alvarado, J., Ramírez-Robles, L.A.: Design process of extended reality educational resources in engineering: a comparison of three cases in Latin American universities. In: 2022 IEEE Global Engineering Education Conference (EDUCON), pp. 394–399 (2022)

    Google Scholar 

  13. Liao, Y.Y., Yang, Y.R., Cheng, S.J., Wu, Y.R., Fuh, J.L., Wang, R.Y.: Virtual reality-based training to improve obstacle-crossing performance and dynamic balance in patients with Parkinson’s disease. Neurorehabilitation Neural Repair 29(7), 658–667 (2015). https://doi.org/10.1177/1545968314562111, pMID: 25539782

  14. Mehta, D., Sridhar, S., Sotnychenko, O., Rhodin, H., Shafiei, M., Seidel, H.P., Xu, W., Casas, D., Theobalt, C.: Vnect: Real-Time 3D Human Pose Estimation with a Single RGB Camera, vol. 36 (2017). http://gvv.mpi-inf.mpg.de/projects/VNect/

  15. Moosburner, S., Remde, C., Tang, P., Queisner, M., Haep, N., Pratschke, J., Sauer, I.M.: Real world usability analysis of two augmented reality headsets in visceral surgery. Artif. Organs 43(7), 694–698 (2019). https://onlinelibrary.wiley.com/doi/abs/10.1111/aor.13396

  16. Paranthaman, P.K., Bajaj, N., Solovey, N., Jennings, D.: Comparative evaluation of the EEG performance metrics and player ratings on the virtual reality games. In: 2021 IEEE Conference on Games (CoG), pp. 1–8 (2021)

    Google Scholar 

  17. Perez, A.A., Hidalgo, M., Lediaeva, I., Mouloua, M., Hancock, P.A.: Considerations for the usability and implementation of augmented reality in production environments. Proc. Human Factors Ergon. Soc. Annual Meet. 63(1), 2180–2184 (2019). https://doi.org/10.1177/1071181319631453

  18. Phu, S., Vogrin, S., Al Saedi, A., Duque, G.: Balance training using virtual reality improves balance and physical performance in older adults at high risk of falls. Clin. Interventions Aging 14, 1567–1577 (2019)

    Google Scholar 

  19. Pollefeys, M.: Microsoft Hololens 2: improved research mode to facilitate computer vision research. Microsoft Res. Blog (2020). https://www.microsoft.com/en-us/research/blog

  20. Rahimzadeh, S., Ghanavati, T., Pourreza, S., Tavakkoli Oskouei, S., Zakerkish, M., Kosarian, Z., Goharpey, S., Mehravar, M.: Inter-joint coordination during obstacle crossing in people with diabetic neuropathy. J. Biomech. 105, 109765 (2020). https://www.sciencedirect.com/science/article/pii/S0021929020301810

  21. Wang, Z., Arie, L., Lubetzky, A.V., Perlin, K.: Vrgaitanalytics: visualizing dual task cost for VR gait assessment. In: Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology. VRST’21. Association for Computing Machinery, New York, NY, USA (2021). https://doi.org/10.1145/3489849.3489874

  22. Wang, Z., Chien, J.H., Siu, K.C.: Stepping over multiple obstacles changes the pattern of foot integrated pressure of the leading and trailing legs. J. Biomech. 98, 109423 (2020). https://www.sciencedirect.com/science/article/pii/S0021929019306700

  23. Yang, J.J., Chen, T., Qin, F., Lam, M.S., Landay, J.A.: Hybridtrak: adding full-body tracking to VR using an off-the-shelf webcam. In: CHI Conference on Human Factors in Computing Systems. CHI’22. Association for Computing Machinery, New York, NY, USA (2022). https://doi.org/10.1145/3491102.3502045

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Author information

Authors and Affiliations

  1. Elon University, Elon, NC, 27244, USA

    Pratheep Kumar Paranthaman, Srikant Vallabhajosula, Alys Giordano, Stacey Walton & Oliver Tuisa

  2. Imperial College London, London, UK

    Nikesh Bajaj

Authors
  1. Pratheep Kumar Paranthaman
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  2. Srikant Vallabhajosula
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  3. Alys Giordano
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  4. Stacey Walton
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  5. Oliver Tuisa
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  6. Nikesh Bajaj
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Corresponding author

Correspondence to Pratheep Kumar Paranthaman .

Editor information

Editors and Affiliations

  1. School of Mathematics, Computer Science and Engineering, Liverpool Hope University, Liverpool, UK

    Atulya K. Nagar

  2. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh Jat

  3. Department of Computer Science and Engineering, Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

  4. Global Knowledge Research Foundation, Ahmedabad, Gujarat, India

    Amit Joshi

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Paranthaman, P.K., Vallabhajosula, S., Giordano, A., Walton, S., Tuisa, O., Bajaj, N. (2023). User Experience Analysis in Obstacle Clearance Tasks in Virtual and Mixed Reality Environments. In: Nagar, A.K., Singh Jat, D., Mishra, D.K., Joshi, A. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 579. Springer, Singapore. https://doi.org/10.1007/978-981-19-7663-6_64

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