ARTIRILMIŞ GERÇEKLİK TEKNOLOJİSİNİN KULLANIM DURUMUNUN BİBLİYOMETRİK ANALİZ İLE İNCELENMESİ VE ARAŞTIRMACILARA ÖNERİLER

Öz

Artırılmış gerçeklik teknolojisi eğitim, mühendislik, endüstri gibi birçok alanda kullanılan güncel teknolojilerden biridir ve alanlar üzerindeki etkisi günden güne araştırmacıların ilgilisini çekmektedir. Araştırmada bakım ve onarım alanında artırılmış gerçeklik teknolojilerini kullanan makaleler bibliyometrik analiz teknikleri ile incelenerek, alanın mevcut durum ve eğilimlerini ortaya koymak amaçlanmıştır. Araştırmada 1998-2022 yılları arasında Web of Science veri tabanında yer alan 661 doküman incelenmiştir. Bibliyometrik analiz tekniklerinden ortak kelime, atıf ve ortak yazarlık analizi kullanılmıştır. Bu sayede alan hakkında genel bir değerlendirme (güncel eğilimler, en etkili yazar, makale, dergi ve yazar iş birliği) sunulmuştur. Analizler VOSwiever yazılımı ile gerçekleştirilmiştir. Güncel eğilimlerin eğitim, sanal gerçeklik ve endüstri 4.0’ a yöneldiği, en etkili yazarın Soh Khim Ong, derginin Automation in Construction, yayının ise Augmented reality applications in design and manufacturing olduğu tespit edilmiştir. Bulgular sonucunda araştırmacılara alanla ilgili öneriler sunulmuştur. Çalışmanın genel sonuçları, alanındaki yayınların araştırma ilgi alanlarını ve eğilimlerini belirleme açısından gelecekte yapılacak çalışmalara ışık tutmaktadır.

Anahtar Kelimeler

• Artırılmış Gerçeklik
• Bakım
• Onarım
• Bibliyometrik Analiz

Kaynakça

1. Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007
2. Ariansyah, D., Erkoyuncu, J. A., Eimontaite, I., Johnson, T., Oostveen, A. M., Fletcher, S., & Sharples, S. (2022). A head mounted augmented reality design practice for maintenance assembly: Toward meeting perceptual and cognitive needs of AR users. Applied Ergonomics, 98, 103597.
3. Ashraf, H. M., Al-Sobhi, S. A., & El-Naas, M. H. (2022). Mapping the desalination journal: A systematic bibliometric study over 54 years. Desalination, 526, 115535. https://doi.org/10.1016/j.desal.2021.115535
4. Balaguer, C., & Abderrahim, M. (Eds.). (2008). Robotics and automation in construction. BoD–Books on Demand.
5. Bertele, M., Lucke, D., & Jooste, J. L. (2021). A Framework to Establish an Assistance System by Using Reality Technology in Maintenance. Procedia CIRP, 104, 612-617. https://doi.org/10.1016/j.procir.2021.11.103
6. Bottani, E., & Vignali, G. (2019). Augmented reality technology in the manufacturing industry: A review of the last decade. IISE Transactions, 51(3), 284-310. https://doi.org/10.1080/24725854.2018.1493244
7. Braly, A. M., Nuernberger, B., & Kim, S. Y. (2019). Augmented reality improves procedural work on an international space station science instrument. Human factors, 61(6), 866-878.Azuma, R. T. (1997). A Survey of Augmented Reality. Presence: Teleoperators and Virtual Environments, 6(4), 355-385. https://doi.org/10.1162/pres.1997.6.4.355
8. Chen, C., Song, I.-Y., Yuan, X., & Zhang, J. (2008). The thematic and citation landscape of Data and Knowledge Engineering (1985–2007). Data & Knowledge Engineering, 67(2), 234-259. https://doi.org/10.1016/j.datak.2008.05.004

9. Chiarello, F., Trivelli, L., Bonaccorsi, A., & Fantoni, G. (2018). Extracting and mapping industry 4.0 technologies using wikipedia. Computers in Industry, 100, 244-257.
10. Ciprian Firu, A., Ion Tapîrdea, A., Ioana Feier, A., & Drăghici, G. (2021). Virtual reality in the automotive field in industry 4.0. Materials Today: Proceedings, 45, 4177-4182. https://doi.org/10.1016/j.matpr.2020.12.037
11. Cisneros, L., Ibanescu, M., Keen, C., Lobato-Calleros, O., & Niebla-Zatarain, J. (2018). Bibliometric study of family business succession between 1939 and 2017: mapping and analyzing authors’ networks. Scientometrics, 117(2), 919-951.
12. Dalenogare, L. S., Benitez, G. B., Ayala, N. F., & Frank, A. G. (2018). The expected contribution of Industry 4.0 technologies for industrial performance. International Journal of Production Economics, 204, 383-394. https://doi.org/10.1016/j.ijpe.2018.08.019
13. Dan, L., Jiawan, Z., & Yi, Z. (2019). The virtual simulation system of nuclear radiation dose field based on virtual reality technology. 2019 Chinese Automation Congress (CAC), 4381-4385. https://doi.org/10.1109/CAC48633.2019.8997472
14. del Barrio-García, S., Muñoz-Leiva, F., & Golden, L. (2020). A review of comparative advertising research 1975–2018: Thematic and citation analyses. Journal of Business Research, 121, 73-84. https://doi.org/10.1016/j.jbusres.2020.08.023
15. Donthu, N., Kumar, S., Pandey, N., & Lim, W. M. (2021). Research Constituents, Intellectual Structure, and Collaboration Patterns in Journal of International Marketing: An Analytical Retrospective. Journal of International Marketing, 29(2), 1-25. https://doi.org/10.1177/1069031X211004234
16. Endsley, T. C., Sprehn, K. A., Brill, R. M., Ryan, K. J., Vincent, E. C., & Martin, J. M. (2017, September). Augmented reality design heuristics: Designing for dynamic interactions. In Proceedings of the human factors and ergonomics society annual meeting (Vol. 61, No. 1, pp. 2100-2104). Sage CA: Los Angeles, CA: SAGE Publications.
17. Firu, A. C., Tapîrdea, A. I., Feier, A. I., & Drăghici, G. (2021). Virtual reality in the automotive field in industry 4.0. Materials Today: Proceedings, 45, 4177-4182.
18. Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210, 15-26. https://doi.org/10.1016/j.ijpe.2019.01.004
19. Funk, M., Bächler, A., Bächler, L., Kosch, T., Heidenreich, T., & Schmidt, A. (2017, June). Working with augmented reality? A long-term analysis of in-situ instructions at the assembly workplace. In Proceedings of the 10th international conference on pervasive technologies related to assistive environments (pp. 222-229).
20. Gabbard, J. L., Mehra, D. G., & Swan, J. E. (2019). Effects of AR Display Context Switching and Focal Distance Switching on Human Performance. IEEE Transactions on Visualization and Computer Graphics, 25(6), 2228-2241. https://doi.org/10.1109/TVCG.2018.2832633
21. Guo, Z., Zhou, D., Zhou, Q., Zhang, X., Geng, J., Zeng, S., Lv, C., & Hao, A. (2020). Applications of virtual reality in maintenance during the industrial product lifecycle: A systematic review. Journal of Manufacturing Systems, 56, 525-538. https://doi.org/10.1016/j.jmsy.2020.07.007
22. Gutiérrez, T., Rodríguez, J., Vélaz, Y., Casado, S., Suescun, A., & Sánchez, E. J. (2010). IMA-VR: A multimodal virtual training system for skills transfer in Industrial Maintenance and Assembly tasks. 19th International Symposium in Robot and Human Interactive Communication, 428-433. https://doi.org/10.1109/ROMAN.2010.5598643
23. Higgins, J. P., Thomas, J., Chandler, J., Cumpston, M., Li, T., Page, M. J., & Welch, V. A. (Eds.). (2019). Cochrane handbook for systematic reviews of interventions. John Wiley & Sons.
24. Hoover, M., Miller, J., Gilbert, S., & Winer, E. (2020). Measuring the Performance Impact of Using the Microsoft HoloLens 1 to Provide Guided Assembly Work Instructions. Journal of Computing and Information Science in Engineering, 20(6). https://doi.org/10.1115/1.4046006
25. Kerin, M., & Pham, D. T. (2019). A review of emerging industry 4.0 technologies in remanufacturing. Journal of Cleaner Production, 237, 117805. https://doi.org/10.1016/j.jclepro.2019.117805
26. Kim, S., Nussbaum, M. A., & Gabbard, J. L. (2019). Influences of augmented reality head-worn display type and user interface design on performance and usability in simulated warehouse order picking. Applied Ergonomics, 74, 186-193. https://doi.org/10.1016/j.apergo.2018.08.026
27. Lamberti, F., Manuri, F., Sanna, A., Paravati, G., Pezzolla, P., & Montuschi, P. (2014). Challenges, Opportunities, and Future Trends of Emerging Techniques for Augmented Reality-Based Maintenance. IEEE Transactions on Emerging Topics in Computing, 2(4), 411-421. https://doi.org/10.1109/TETC.2014.2368833
28. Leung, X. Y., Sun, J., & Bai, B. (2017). Bibliometrics of social media research: A co-citation and co-word analysis. International Journal of Hospitality Management, 66, 35-45.
29. Li, H., An, H., Wang, Y., Huang, J., & Gao, X. (2016). Evolutionary features of academic articles co-keyword network and keywords co-occurrence network: Based on two-mode affiliation network. Physica A: Statistical Mechanics and Its Applications, 450, 657-669. https://doi.org/10.1016/j.physa.2016.01.017
30. Liao, Y., Deschamps, F., Loures, E. de F. R., & Ramos, L. F. P. (2017). Past, present and future of Industry 4.0—A systematic literature review and research agenda proposal. International Journal of Production Research, 55(12), 3609-3629. https://doi.org/10.1080/00207543.2017.1308576
31. Liu, C., Zhu, H., Tang, D., Nie, Q., Zhou, T., Wang, L., & Song, Y. (2022). Probing an intelligent predictive maintenance approach with deep learning and augmented reality for machine tools in IoT-enabled manufacturing. Robotics and Computer-Integrated Manufacturing, 77, 102357. https://doi.org/10.1016/j.rcim.2022.102357
32. Luo, W., Hu, T., Ye, Y., Zhang, C., & Wei, Y. (2020). A hybrid predictive maintenance approach for CNC machine tool driven by Digital Twin. Robotics and Computer-Integrated Manufacturing, 65, 101974. https://doi.org/10.1016/j.rcim.2020.101974
33. Mittal, S., Khan, M. A., Romero, D., & Wuest, T. (2018). A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs). Journal of Manufacturing Systems, 49, 194-214. https://doi.org/10.1016/j.jmsy.2018.10.005
34. Muñoz-Leiva, F., Porcu, L., & Barrio-García, S. del. (2015). Discovering prominent themes in integrated marketing communication research from 1991 to 2012: A co-word analytic approach. International Journal of Advertising, 34(4), 678-701. https://doi.org/10.1080/02650487.2015.1009348
35. Muszyńska, M., Szybicki, D., Gierlak, P., Kurc, K., Burghardt, A., & Uliasz, M. (2019). Application of Virtual Reality in the Training of Operators and Servicing of Robotic Stations. Içinde L. M. Camarinha-Matos, H. Afsarmanesh, & D. Antonelli (Ed.), Collaborative Networks and Digital Transformation (ss. 594-603). Springer International Publishing. https://doi.org/10.1007/978-3-030-28464-0_52
36. Nee, A. Y. C., Ong, S. K., Chryssolouris, G., & Mourtzis, D. (2012). Augmented reality applications in design and manufacturing. CIRP Annals, 61(2), 657-679. https://doi.org/10.1016/j.cirp.2012.05.010
37. Palmarini, R., Erkoyuncu, J. A., Roy, R., & Torabmostaedi, H. (2018). A systematic review of augmented reality applications in maintenance. Robotics and Computer-Integrated Manufacturing, 49, 215-228. https://doi.org/10.1016/j.rcim.2017.06.002
38. Rodríguez-Soler, R., Uribe-Toril, J., & De Pablo Valenciano, J. (2020). Worldwide trends in the scientific production on rural depopulation, a bibliometric analysis using bibliometrix R-tool. Land Use Policy, 97, 104787. https://doi.org/10.1016/j.landusepol.2020.104787
39. Sahal, R., Breslin, J. G., & Ali, M. I. (2020). Big data and stream processing platforms for Industry 4.0 requirements mapping for a predictive maintenance use case. Journal of Manufacturing Systems, 54, 138-151. https://doi.org/10.1016/j.jmsy.2019.11.004
40. Sahu, C. K., Young, C., & Rai, R. (2021). Artificial intelligence (AI) in augmented reality (AR)-assisted manufacturing applications: a review. International Journal of Production Research, 59(16), 4903-4959.
41. Sanna, A., Manuri, F., Lamberti, F., Paravati, G., & Pezzolla, P. (2015). Using handheld devices to sup port augmented reality-based maintenance and assembly tasks. 2015 IEEE International Conference on Consumer Electronics (ICCE), 178-179. https://doi.org/10.1109/ICCE.2015.7066370
42. Schwerdtfeger, B., Reif, R., Gunthner, W. A., Klinker, G., Hamacher, D., Schega, L., Bockelmann, I., Doil, F., & Tumler, J. (2009). Pick-by-Vision: A first stress test. 2009 8th IEEE International Symposium on Mixed and Augmented Reality, 115-124. https://doi.org/10.1109/ISMAR.2009.5336484
43. Speicher, M., Hall, B. D., & Nebeling, M. (2019, May). What is mixed reality? In Proceedings of the 2019 CHI conference on human factors in computing systems (pp. 1-15).
44. Tahamtan, I., Safipour Afshar, A., & Ahamdzadeh, K. (2016). Factors affecting number of citations: A comprehensive review of the literature. Scientometrics, 107(3), 1195-1225. https://doi.org/10.1007/s11192-016-1889-2
45. Turner, C. J., Hutabarat, W., Oyekan, J., & Tiwari, A. (2016). Discrete Event Simulation and Virtual Reality Use in Industry: New Opportunities and Future Trends. IEEE Transactions on Human-Machine Systems, 46(6), 882-894. https://doi.org/10.1109/THMS.2016.2596099
46. van Nunen, K., Li, J., Reniers, G., & Ponnet, K. (2018). Bibliometric analysis of safety culture research. Safety Science, 108, 248-258. https://doi.org/10.1016/j.ssci.2017.08.011
47. Verma, S., & Gustafsson, A. (2020). Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach. Journal of Business Research, 118, 253-261. https://doi.org/10.1016/j.jbusres.2020.06.057
48. Wang, J., Lim, M. K., Wang, C., & Tseng, M. L. (2021). The evolution of the Internet of Things (IoT) over the past 20 years. Computers & Industrial Engineering, 155, 107174.
49. Webel, S., Bockholt, U., Engelke, T., Gavish, N., Olbrich, M., & Preusche, C. (2013). An augmented reality training platform for assembly and maintenance skills. Robotics and Autonomous Systems, 61(4), 398-403. https://doi.org/10.1016/j.robot.2012.09.013
50. Zigart, T., & Schlund, S. (2020). Evaluation of Augmented Reality Technologies in Manufacturing – A Literature Review. Içinde I. L. Nunes (Ed.), Advances in Human Factors and Systems Interaction (ss. 75-82). Springer International Publishing. https://doi.org/10.1007/978-3-030-51369-6_11