研究生: |
羅偉仁 Lo, Wei Jen |
---|---|
論文名稱: |
擴增實境技術於手機維修訓練之系統開發研究 A Study of Using Augmented Reality in Cell Phone Maintenance Training System |
指導教授: | 王茂駿 |
口試委員: |
石裕川
郭建甫 |
學位類別: |
碩士 Master |
系所名稱: |
工學院 - 工業工程與工程管理學系 Department of Industrial Engineering and Engineering Management |
論文出版年: | 2013 |
畢業學年度: | 101 |
語文別: | 中文 |
論文頁數: | 94 |
中文關鍵詞: | 維修訓練 、e化維修保養 、擴增實境 、紙本教學 、電腦輔助教學 |
外文關鍵詞: | maintenance training, e-Maintenance, Augmented Reality, printed manual, Computer-Assisted Instruction |
相關次數: | 點閱:1 下載:0 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
在產品生命週期中,為了提升產品使用壽命,維修/保養系統是必要的。近年來,資通訊技術(Information Communication Technologies,簡稱ICT)的興起,許多產品服務系統接連誕生,如:e化維修保養。其中所使用之技術以擴增實境(Augmented Reality,簡稱AR)較為熱門,相關的應用領域與研究不斷地被提出,其人性化且直覺的顯示提供使用者另一種全新的體驗,打破傳統教學方法與維修方式。
本研究提出利用擴增實境技術開發出產品維修訓練與維修/保養系統,並以普遍性較高之iPhone4作為維修對象,期望透過本訓練系統提升維修訓練效率且經由維修/保養系統之診斷機制自行更換/維護零組件。為了驗證本系統之績效,經由實驗將本研究所開發之維修訓練系統與紙本教學和電腦輔助教學作比較。每位受試者必須進行三種水準之任務難易度與教學方式,並在實驗後填寫NASA主觀心智負荷量表與系統易用性量表。透過實驗得到各實驗組合之任務完成時間、錯誤率、主觀心智負荷及系統易用性分數。
實驗結果發現,女性比男性更容易給予較高之系統易用性分數,但在任務完成時間、錯誤率與主觀心智負荷上並無顯著差異。在任務難易度方面,簡單任務花費時間最少、錯誤率及心智負荷低且系統易用性分數較高。反之,困難任務則花費最多時間、錯誤率及心智負荷高且系統易用性分數較低。教學方式則以紙本教學績效最差,其任務完成時間最長、錯誤率及心智負荷程度高且系統易用性分數最低。而擴增實境教學則具最短完成時間、錯誤率及心智負荷程度最低且系統易用性分數最高。另外,在不同水準之任務難易度下,擴增實境教學皆比其它教學更快完成任務。綜合上述結果顯示,擴增實境技術運用於維修訓練具有較佳的訓練效果與滿意度。
關鍵詞:維修訓練、e化維修保養、擴增實境、紙本教學、電腦輔助教學
Abstract
In product life cycle management, the effective maintenance system is important to enhance the product’s life. In recent years, the Information and Communication Technologies are rising, many computer aided product service systems are developed, i.e. e-Maintenance. Among these technologies, the Augmented Reality is becoming more and more popular, and many applications are proposed. The user-friendly and intuitive display design provides users a new experience in performing maintenance.
This study proposed an augmented reality maintenance training and maintenance system, which used iPhone4 as the maintenance object. To verify the performance of augmented reality system, this study compared printed manual and computer-assisted instruction. Each subject was requested to complete three levels of task difficulty and training methods. The response measures included the completion time, error rate, subjective mental workload and system usability scores.
The results showed that the female subjects give a higher score on system usability. But there was no significant difference in task completion time, error rate and subjective mental workload. In task difficulty, the simple task had the least completion time, error rate, workload, and the highest system usability score. On the other hand, the difficult task had the highest completion time, error rate, workload, and the least system usability score. In training methods, the manual approach had the worst performance. It had the highest completion time, error rate, workload, and the least system usability score. The augmented reality system had the least completion time, error rate, workload, and the highest system usability score. In addition, the augmented reality system was faster than the other training methods to complete the task in different difficulty levels. The result showed that using the augmented reality in training had better performance and user satisfaction.
Keywords: maintenance training, e-Maintenance, Augmented Reality, printed manual, Computer-Assisted Instruction.
參考文獻
1. 全球資訊網協會(W3C)。http://www.w3.org/
2. Aksan, N., Schall, M.C., Rusch, M.L., Lee, J.D., Dawson, J.D., Thomas, G., and Rizzo, M., 2012. Augmented Reality Cues and Elderly Driver Hazard Perception. Journal of Human Factors and Ergonomics.
3. Albertazzi, D., Faust, F., Roepke, G., Catecati, T., Araujo, F., and Ferreira, M.G.G., 2012. Use of augmented reality in the usability evaluation of products. International Journal of Work: A Journal of Prevention Assessment and Rehabilitation, 41, 1164-1167.
4. Albertazzi, D., Okimoto, M.L., and Ferreira, M.G.G., 2012. Developing an usability test to evaluate the use of augmented reality to improve the first interaction with a product. International Journal of Work: A Journal of Prevention Assessment and Rehabilitation, 41, 1160-1163.
5. Alcañiz, M., Botella, C., Burkhardt, J.M., Bretón-López, J., Ortega, M., and Brotons, D.B., 2013. The Therapeutic Lamp: Treating Small-Animal Phobias. IEEE Computer Graphics and Applications, 33(2), 80-86.
6. Anabuki, M., and Ishii, H., 2007. AR-Jig:A handheld tangible user interface for modification of 3D digital form via 2D physical curve. Mixed and Augmented Reality, 2007. ISMAR 2007. 6th IEEE and ACM International Symposium on.
7. Andujar, M.J.M., and Mejias, B.A., 2012. A Pilot Study of the Effectiveness of Augmented Reality to Enhance the Use of Remote Labs in Electrical Engineering Education. Journal of Science Education and Technology, 21(5), 540-557.
8. Azuma, R., 1997. A Survey of Augmented Reality. International Journal of Presence: Teleoperators and Virtual Environments, 6(4), 355-385.
9. Azuma, R., Baillot, Y., Behringer, R., Feiner, S., Julier, S., and MacIntyre, B., 2001. Recent advances in augmented reality. IEEE Computer Graphics and Applications, 21(6), 34-47.
10. Azzari, P., Crescenzio, F.D., Fantini, M., Persiani, F., Stefano, L.D., and Salti, S., 2011.Augmented Reality for Aircraft Maintenance Training and Operations Support. International Journal of Computer Graphics and Applications, 31(1), 96-101.
11. Badard , T., 2006. Geospatial Service Oriented Architectures for Mobile Augmented Reality. Proceedings of the 1st International Workshop on Mobile Geospatial Augmented Reality, Banff, Canada, 73-77.
12. Bangemann, T., Rebeuf, X., Reboul, D., Schulze, A., Szymanski, J., Thomesse, J.P., Thron, M., and Zerhouni, N., 2006. PROTEUS – Creating Distributed Maintenance Systems through an Integration Platform. Computer in Industry, 57(6), 539-551.
13. Bangor, A., Kortum, P., Miller, J., 2009. Determining What Individual SUS Scores Mean: Adding an Adjective Rating Scale. Journal of Usability Studies, 4(3), 114-123.
14. Belhocine, M., Bellarbi, A., Benbelkacem, S., Zenati-Henda, N., and Tadjine, M., 2013. Augmented reality for photovoltaic pumping system maintenance tasks. International Journal of Renewable Energy, 55, 428-437.
15. Bockholt, U., Gavish, N., Seco, T.G., Rodriguez, S.W.J., and Peveri, M., 2011. Transfer of skills evaluation for assembly and maintenance training. BIO Web of conferences.
16. Bockholt, U., Webel, S., Engelke, T., and Tecchia, F., 2011. Design Recommendations for Augmented Reality based Training of Maintenance Skills. Recent Trends of Mobile Collaborative Augmented Reality Systems, 69-82.
17. Botden, S.M., de Hingh, I.H., and Jakimowic, J.J., 2009. Suturingtraining in augmented reality: gaining proficiency in suturing skills faster. Journal of surgical Endoscopy.
18. Byers, J.C., Bittner, A.C., and Hill, S.G., 1989. Traditional and raw task load index (TLX) correlation: Are paired comparisons necessary? Advanced in industrial ergonomics and safety, 1, 484-485.
19. Campos, J., Jantunen, E., and Prakash, O., 2009. A web and mobile device architecture for mobile e-maintenance. International Journal of Advanced Manufacturing Technology, 45, 71-80.
20. Caponio, A., Rios, H., Hincapie, M., Mercado, E., and Mendivil, E.G., 2011. Augmented Reality: An Advantageous Option for Complex Training and Maintenance Operations in Aeronautic Related Processes. Lecture Notes in Computer Science, 6773(2011), 87-96.
21. Cheok, A.D., Goh, K.H., Liu, W. Farbiz, F., Fong, S.W., Teo, S.L, Li, Y., and Yang, X., 2004. Human Pacman: a mobile, wide-area entertainment system based on physical, social, and ubiquitous computing. Personal and Ubiquitous Computing, 8(2), 71-81.
22. Fadel, G., Morkos, B., Taiber, J., Summers, J., Mears, L., and Rilka, T., 2012. Mobile devices within manufacturing environments: a BMW applicability study. International Journal on Interactive Design and Manufacturing, 6(2), 101-111.
23. Farr, J.V., and Sullivan Jr., J., 1996. Rethinking Training in the 1990s. Journal of Management in Engineering, 12(3), 29-33.
24. Ganapathy, S., 2013. Design Guidelines for Mobile Augmented Reality: User Experience. Journal of Human Factors in Augmented Reality Environments, 165-180.
25. Goose, S., Sudarsky, S., Zhang, X., and Navab, N., 2003. Speech-enabled augmented reality supporting mobile industrial maintenance. IEEE Pervasive Computing, 2(1), 65-70.
26. Hakkarainen, M., Woodward, C., and Billinghurst, M., 2008. Augmented assembly using a mobile phone. Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality.
27. Han, T., and Yang, B.S., 2006. Development of an e-maintenance system integrating advanced techniques. Computer in Industry, 57(6), 569-580.
28. Hart, S.G., 2006. NASA-Task Load Index; 20 Years Later. Proceedings of the Human Factors and Ergonomics Society 50th Annual Meeting, 904-908.
29. Henderson, S.J., and Feiner, S., 2011. Exploring the Benefits of Augmented Reality Documentation for Maintenance and Repair. Visualization and Computer Graphics, IEEE Transaction on, 17(10), 1355-1368.
30. Henryssoon, A., Billinghurst, M., and Ollila, M., 2005. Face to Face Collaborative AR on Mobile Phones. Proceedings of the 4th IEEE/ACM International Symposium on Mixed and Augmented Reality.
31. Hou, L., and Wang, X., 2013. A study on the benefits of augmented reality in retaining working memory in assembly tasks: A focus on differences in gender. International Journal of Automation in Construction.
32. Iung, B., Levrat, E., Marquez, A.C., and Erbe, H., 2009. Conceptual framework for e-Maintenance:Illustration by e-Maintenance. Annual Reviews in Control, 33, 220-229.
33. Kajko-Mattsson, M., Karim, R., and Mirijamdotter, A., 2010. Fundamentals of the eMaintenance Concept. The 1st International Workshop and Congress on eMaintenance 2010.
34. Lee, J.W., and Kim, B.C., 2005. AR Pueblo Board Game. Proceedings of the 4th International Conference on Entertainment Computing.
35. Lee, J.Y., and Rhee, G., 2007. Context- aware 3D visualization and collaboration services for ubiquitous cars using augmented reality. The International Journal of Advanced Manufacturing Technology, 37(5-6), 431-442.
36. Levrat, E., Iung, B., and Marquez, A.C., 2008. E-maintenance: review and conceptual framework. International Journal of Production Planning & Control, 19(4), 408-429.
37. Li, J.G., Liu, J.S., Xia, P.J., and Yao, Y.X., 2006. A pragmatic system to support interactive assembly planning and training in an immersive virtual environment (I-VAPTS). The International of Advanced Manufacturing Technology, 30(9-10), 959-967.
38. Lu, X., Zhou, T., Yao, X., and Qi, Y., 2012. Constraint-Based Virtual Assembly Training System for Aircraft Engine. Journal of Advance in intelligent and Soft Computing, 142, 105-112.
39. Mazman, S.G., Kocak, U.Y., and Vildan, C., 2009. Social Influence in the Adoption Process and Usage of Innovation: Gender Differences. Proceedings of World Academy of Science: Engineering and Technology, 49, 409-412.
40. Milgram, P., and Kishino, F., 1994. A taxonomy of mixed reality visual displays. IEICE Transactions on Information Systems, E77-D(12), 1321-1329.
41. Mistry, P., and Maes, P., 2009. SixthSense: a wearable gestural interface. Proceedings of SIGGRAPH Asia.
42. Moroney, W.F., Biers, D.W., Eggemeier, F.T., Mitchell, J.A., 1992. A comparison of two scoring procedures with the NASA Task Load Index in a simulated flight task. Aerospace and Electronics Conference, 2, 734-740.
43. Muller, A., Marquez, A.C., and Iung B., 2008. On the concept of e-maintenance: Review and current research. International Journal of Reliability Engineering and System Safety, 93(8), 1165-1187.
44. Nee, A.Y.C., Zhang, J., and Ong, S.K., 2010. RFID-assisted assembly guidance system in an augmented reality environment. International Journal of Production Research, 1, 1-20.
45. Nee, A.Y.C., Ong, S.K., Zhang, J., and Shen, Y., 2011. Augmented Reality in Product Development and Manufacturing. Handbook of Augmented Reality, 651-669.
46. Nee, A.Y.C., Yuan, M.L., and Ong, S.K., 2008. Augmented reality applications in manufacturing:a survey. International Journal of Production Research, 46(10), 2707-2742.
47. Ong, S.K., and Shen, Y., 2009. A mixed reality environment for collaborative product design and development. International Journal of CIRP Annals- Manufacturing Technology, 58(1), 139-142.
48. Papagiannakis, G., Singh, G., and Magnenat-Thalmann, N., 2008. A survey of mobile and wireless technologies for augmented reality systems. International Journal of Computer Animation and Virtual Worlds, 19, 3-22.
49. Paramo, G., Peniche, A., Diaz, C., and Trefftz, H., 2012. Combining virtual and augmented reality to improve the mechanical assembly training process in manufacturing. International conference on Computer Engineering and Applicationsand and Proceedings of the 2012 American conference on Applied Mathematics, 292-297.
50. Pintelon, L., and Waeyenbergh, G., 2002. A framework for maintenance concept development. International Journal of Production Economics.
51. Radkowsk, F., 2009. Software-Agents for On-Demand Authoring of Mobile Augmented Reality Applications. International Journal of Virtual and Mixed Reality, LNCS, 5622, 225-234.
52. Reinhart, G., and Eursch, A., 2008. A camera-based support system with augmented reality functions for manual tasks in radioactive production environments. Production Engineering, 2, 139-147.
53. Schwald, B., and Laval, B.D., 2003. An Augmented Reality System for Training and Assistance to Maintenance in the Industrial Context. International Journal of WSCG, 11(1).
54. Seong, P.H., and Yim, H.B., 2010. Heuristic guidelines and experimental evaluation of effective augmented-reality based instructions for maintenance in nuclear power plants. Journal of Nuclear Engineering and Design.
55. Tsai, M.K., and Yau, N.J., 2013. Enhancing usability of augmented-reality-based mobile escape guidelines for radioactive accidents. International Journal of Environmental Radioactivity 118(15-20).
56. Vallino, J., R., 1998. Interactive Augmented Reality. Rochester, New York. Department of Computer Science, University of Rochester.
57. Venkatesh, V., Thong, J.Y.L., and Xu, X., 2012. Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. Journal of MIS Quarterly, 36(1), 157-178.