Contextualization of the Augmented Reality Quality Model through Social Media Analytics

Contextualization of the Augmented Reality Quality Model through Social Media Analytics

Volume 5, Issue 4, Page No 184-191, 2020

Author’s Name: Jim Scheibmeir1,a), Yashwant Malaiya2

View Affiliations

1Colorado State University, Systems Engineering, 80523, United States
2Colorado State University, Computer Science, 80523, United States

a)Author to whom correspondence should be addressed. E-mail: jimscheibmeir@gmail.com

Adv. Sci. Technol. Eng. Syst. J. 5(4), 184-191 (2020); a  DOI: 10.25046/aj050422

Keywords: Augmented Reality, Software Quality, Social Media Analytics, Quality Model

Share
325 Downloads

Export Citations

Abstract

Augmented Reality applications are gaining popularity while maintaining novelty. Many industries are utilizing the user interface type, and use cases are becoming repeat patterns of problem solutions. Despite this rising popularity, quality has not matured nor has the technology become mainstream. Novelty must be approached as risk, and risk must be evaluated for and tested to assure adequate levels of quality. Quality itself can also be vague and have contextual definition. For these reasons, a quality model for augmented reality was created. This work analyzes over two hundred thousand tweets, collected during 2019 and 2020, relating to augmented reality technology, and contextualizes various data points to the established AR Quality Model. The education industry had the highest mentions among the tweets within the scope of this research while the tweets labeled to the transportation industry had the highest sentiment. Furthermore, the tweets were shown to illustrate the needs of testing against the characteristics within the quality model; presence, perspective, interaction, portability and persistence.

Received: 15 June 2020, Accepted: 12 July 2020, Published Online: 22 July 2020

References (31)

  1. J. Scheibmeir and Y. K. Malaiya, “Quality Model for Testing Augmented Reality Applications,” 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), New York City, NY, USA, 0219-0226, 2019. doi: 10.1109/UEMCON47517.2019.8992974.
  2. I. Rabbi, S. Ullah, A survey on augmented reality challenges and tracking, Acta Graphica: J. Print. Sci. Graphic Commun, 24(1-2), 2013, pp. 29-46, 2013.
  3. X. Wang, A. Kotranza, J. Quarles, B. Lok, B.D. Allen, A pipeline for rapidly incorporating real objects into a mixed environment, in The 4th IEEE/ACM International Symposium on Mixed and Augmented Reality, Washington, DC, USA, October 2005, 170-173, 2005.
  4. D. Cearly, et al. “Top 10 Strategic Technology Trends for 2020: Multiexperience.” Gartner, 10 Mar. 2020. www.gartner.com/doc/3981950.
  5. S.P. Yun, H.J. Yap, R. Singh, S.W. Chang, K.L.R. Cheong, Augmented reality assisted factory layout planning and analysis for a flexible manufacturing cell, in International Conference on Computer Science and Computational Mathematics, 106-111, 2014.
  6. S. J. Henderson, S. Feiner, Evaluating the benefits of augmented reality for task localization in maintenance of an armored personnel carrier turret, in 8th IEEE International Symposium on Mixed and Augmented Reality, Orlando, FL, USA, 135-144, 2009.
  7. G. Westerfield, A. Mitrovic, M. Billinghurst, Intelligent augmented reality training for motherboard assembly, Int. J. Artif. Intell. Educ. 25(1), 157-172, 2015.
  8. “ISO/IEC 25010.” ISO 25000. Accessed May 22, 2020. https://iso25000.com/index.php/en/iso-25000-standards/iso-25010.
  9. A. Dünser and M Billinghurst “Evaluating augmented reality systems,” In: Furht B. (eds) Handbook of Augmented Reality. Springer, New York, NY, 289-307, 2011.
  10. A. Sutcliffe and K. Kaur, “Evaluating the usability of virtual reality user interfaces,” Behaviour and Information Technology, vol. 19, 2001.
  11. J. Scheibmeir and Y. Malaiya, “An API Development Model for Digital Twins,” 2019 IEEE 19th International Conference on Software Quality, Reliability and Security Companion (QRS-C), Sofia, Bulgaria, 2019, pp. 518-519, 2019. doi: 10.1109/QRS-C.2019.00103.
  12. J. Scheibmeir, T. Murphy, and J. Herschmann. “Promote Continuous Quality for APIs to Support Digital Business.” Gartner, February 21, 2019. https://www.gartner.com/doc/3902567.
  13. A. Cirillo, RStudio for R Statistical Computing Cookbook. Birmingham (Gran Bretania): Packt Publishing, 2016.
  14. “How to Tweet.” Twitter. Accessed May 23, 2020. https://help.twitter.com/en/using-twitter/how-to-tweet.
  15. J. Wong, A. Leow, Gartner Survey Analysis: Insights to Kick-Start an Enterprise Multiexperience Development Strategy, 12 February 2019. https://www.gartner.com/document/3901479
  16. R.S. Perdana, A. Pinandito, ” Combining Likes-Retweet Analysis and Naive Bayes Classifier within Twitter for Sentiment Analysis”, Journal of Telecommunication, Electronic and Computer Engineering, 10(1-8), 41-46, 2018.
  17. Apple’s ARKit: Cheat sheet, Cory Bohon, TechRepublic, June 7, 2019. Accessed September 28, 2019. https://www.techrepublic.com/article/apples-arkit-everything-the-pros-need-to-know/
  18. International Labor Organization. “Industries and Sectors.” Industries and sectors, n.d. https://www.ilo.org/global/industries-and-sectors/lang–en/index.htm.
  19. M. Ghiassi, , J. Skinner, D. Zimbra, “Twitter brand sentiment analysis: a hybrid system using n-gram analysis and dynamic artificial neural network” Expert Systems with Applications, 40(16), 6266-6282, 2013. DOI: 10.1016/j.eswa.2013.05.057
  20. H. Purohit, A. Hampton, V.L. Shalin, A.P. Sheth, J. Flach, S. Bhatt. What kind of #conversation is Twitter Mining #psycholinguistic cues for emergency coordination Computers in Human Behavior, 29 (6), 2438-2447, 2013. DOI: 10.1016/j.chb.2013.05.007
  21. C. Hung, “Word of Mouth Quality Classification Based on Contextual Sentiment Lexicons.” Information Processing & Management 53(4), 51–63, 2013.
  22. T. Rinker, “Sentimentr.” README, n.d. https://cran.r-project.org/web/packages/sentimentr/readme/README.html
  23. Application Research Team. “Proven Design Principles to Deliver a High-Value Employee User Experience.” Gartner, May 12, 2020. https://www.gartner.com/doc/3985028.
  24. J. Scheibmeir, J. Herschmann, T. Murphy, “Quality Is the Key to Avoiding ‘Digital Distortion’ With Your Augmented Reality Strategy.” Gartner, April 16, 2020. https://www.gartner.com/doc/3983581.
  25. M. Jansen, “Escape Reality with the Best Augmented Reality Apps for Android and IOS.” Digital Trends. Digital Trends, June 9, 2019. https://www.digitaltrends.com/mobile/best-augmented-reality-apps/.
  26. Use Vuforia for computer vision and augmented reality apps, 2019, https://www.ptc.com/en/products/augmented-reality/vuforia
  27. Downloads, 2019.
    https://developers.facebook.com/docs/arstudio/downloads/
  28. Get ready for the latest advances in augmented reality, 2019. https://developer.apple.com/augmented-reality/
  29. ARCore overview, February 28, 2019. https://developers.google.com/ar/discover/
  30. Wikitude Augmented Reality SDK, 2019, https://www.wikitude.com/products/wikitude-sdk/
  31. AR SDK, 2019, Maxst. “Setup Guide.” 3.4.x ᅵ MAXST Developer Site, n.d. https://developer.maxst.com/MD/doc/unity/setup.

Cited By

Citations by Dimensions

Citations by PlumX

Google Scholar

(Click Here)

Scopus

(Click Here)

Metrics

Special Issues

Propose a Special Issue

Special Issue on Computing, Engineering and Multidisciplinary Sciences
Guest Editors: Prof. Wang Xiu Ying
Deadline: 30 April 2025

Special Issue on AI-empowered Smart Grid Technologies and EVs
Guest Editors: Dr. Aparna Kumari, Mr. Riaz Khan
Deadline: 30 November 2024

Special Issue on Innovation in Computing, Engineering Science & Technology
Guest Editors: Prof. Wang Xiu Ying
Deadline: 15 October 2024