IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i17p4759-d262662.html
   My bibliography  Save this article

Learning Performance Assessment for Culture Environment Learning and Custom Experience with an AR Navigation System

Author

Listed:
  • Yuh-Shihng Chang

    (Department of Information Management, National Chin-Yi University of Technology, Taichung 411, Taiwan
    Department of Inter Design, Asia University, Taichung 413, Taiwan)

  • Yu-Jhang Rick Hu

    (Department of Digital Media Design, Asia University, Taichung 413, Taiwan
    Department of Visual Communication Design, Chaoyang University of Technology, Taichung 413, Taiwan)

  • Hong-Wei Chen

    (Department of Digital Media Design, Asia University, Taichung 413, Taiwan)

Abstract

Culturally sustainable environmental education is a crucial issue that is inseparable from our society and environment; and closely linked to our life. Taiwan’s cultural environment and family activities are characterized by religious beliefs and temple architectures. Incorporating digital technology into learning about the cultural environment of Taiwan can be an effective way to achieve sustainability. To have a deeper understanding of Taiwan’s culture and aesthetics, this study uses AR (augmented reality) technology to bring interactive experiences to the temple, so that the public can interactively experience arts in the temple. Through the AR navigation system, people can ascertain cultural connotations and understand the power of Taiwan’s beliefs. This study will take the Wumiao (martial temple) in Yanshui District, Tainan, Taiwan, as the research field to examine the learning experiences and performance with an AR navigation system. The empirical method is used to collect data of users’ behaviors and feelings; the statistics approach is also used to testify to the AR usability that is if with AR technology people can have a better understanding and learning performance on the culture aspect. Research finding proves one can have a better learning experience with AR tech with a positive result. According to the correlation coefficient analysis, only perceived enjoyment and perceived ease of use are moderately correlated, the other differences are highly correlated. It is thus clear that AR navigation systems should be applied for having better folk beliefs, cultural etiquette learning experiences, and learning performance, more, for not merely having faith, but also loyalty as well.

Suggested Citation

  • Yuh-Shihng Chang & Yu-Jhang Rick Hu & Hong-Wei Chen, 2019. "Learning Performance Assessment for Culture Environment Learning and Custom Experience with an AR Navigation System," Sustainability, MDPI, vol. 11(17), pages 1-12, August.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:17:p:4759-:d:262662
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/17/4759/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/17/4759/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    2. Machleit, Karen A. & Eroglu, Sevgin A., 2000. "Describing and Measuring Emotional Response to Shopping Experience," Journal of Business Research, Elsevier, vol. 49(2), pages 101-111, August.
    3. Klein, Howard J. & Mulvey, Paul W., 1995. "Two Investigations of the Relationships among Group Goals, Goal Commitment, Cohesion, and Performance," Organizational Behavior and Human Decision Processes, Elsevier, vol. 61(1), pages 44-53, January.
    4. Richins, Marsha L, 1997. "Measuring Emotions in the Consumption Experience," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(2), pages 127-146, September.
    5. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    6. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    7. Chung-Ho Su & Ting-Wen Cheng, 2019. "A Sustainability Innovation Experiential Learning Model for Virtual Reality Chemistry Laboratory: An Empirical Study with PLS-SEM and IPMA," Sustainability, MDPI, vol. 11(4), pages 1-24, February.
    8. Crohn, Kara & Birnbaum, Matthew, 2010. "Environmental education evaluation: Time to reflect, time for change," Evaluation and Program Planning, Elsevier, vol. 33(2), pages 155-158, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yuh-Shihng Chang, 2021. "Applying the ARCS Motivation Theory for the Assessment of AR Digital Media Design Learning Effectiveness," Sustainability, MDPI, vol. 13(21), pages 1-24, November.
    2. Vieira, Valter Afonso & Rafael, Diego Nogueira & Agnihotri, Raj, 2022. "Augmented reality generalizations: A meta-analytical review on consumer-related outcomes and the mediating role of hedonic and utilitarian values," Journal of Business Research, Elsevier, vol. 151(C), pages 170-184.
    3. Yen, Barbara T.H. & Mulley, Corinne & Meza, Gerardo, 2023. "Exploring the attitudes and perceptions influencing user participation in gamification schemes for TDM," Research in Transportation Economics, Elsevier, vol. 99(C).
    4. Teen-Hang Meen & Charles Tijus & Jui-Che Tu, 2020. "Selected Papers from the Eurasian Conference on Educational Innovation 2020," Sustainability, MDPI, vol. 12(15), pages 1-5, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nistor, Cristian, 2013. "A conceptual model for the use of social media in companies," MPRA Paper 44224, University Library of Munich, Germany.
    2. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    3. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Mohd Zaini Abd Karim, 2017. "Islamic home financing in Pakistan: a SEM-based approach using modified TPB model," Housing Studies, Taylor & Francis Journals, vol. 32(8), pages 1156-1177, November.
    4. Ángel Valarezo & Rafael López & Teodosio Pérez-Amaral, 2019. "Adoption of e-commerce by individuals and digital divide: Evidence from Spain," Documentos de Trabajo del ICAE 2019-19, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    5. Chua Chang Jin & Lim Chee Seong & Aye Aye Khin, 2019. "Factors Affecting the Consumer Acceptance towards Fintech Products and Services in Malaysia," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 9(1), pages 59-65, January.
    6. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    7. Juan F. Tavera Mesías & Juan C. S�nchez Giraldo & Bernardo Ballesteros D�az, 2011. "Aceptación del E-Commerce en Colombia: un estudio para la ciudad de Medellín," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada.
    8. Alami Mohamed, 2023. "The relationship between perception of IT and performance management in Moroccan companies: a qualitative study [La relation entre la perception des technologies d'information et le pilotage de la ," Post-Print hal-04224226, HAL.
    9. Deborah Compeau & Barbara Marcolin & Helen Kelley & Chris Higgins, 2012. "Research Commentary ---Generalizability of Information Systems Research Using Student Subjects---A Reflection on Our Practices and Recommendations for Future Research," Information Systems Research, INFORMS, vol. 23(4), pages 1093-1109, December.
    10. Sanghyun Kim & Gary Garrison, 2009. "Investigating mobile wireless technology adoption: An extension of the technology acceptance model," Information Systems Frontiers, Springer, vol. 11(3), pages 323-333, July.
    11. Yu Yao & Xiang Wang & Kaiqiang Sun, 2025. "Research on key factors influencing Chinese designers’ use of AIGC: An extension based on TAM and TRI," PLOS ONE, Public Library of Science, vol. 20(2), pages 1-29, February.
    12. Nasser Hamidi & Tahmineh Torabi Rad & Alireza Jahany, 2012. "Evaluation Of Factors Influencing Tendency Towards E- Banking In Bank Customers," Far East Journal of Marketing and Management, Far East Research Centre, vol. 2(3), pages 25-42, August.
    13. Giovanis, Apostolos & Rizomyliotis, Ioannis & Konstantoulaki, Kleopatra & Magrizos, Solon, 2022. "Mining the hidden seam of proximity m-payment adoption: A hybrid PLS-artificial neural network analytical approach," European Management Journal, Elsevier, vol. 40(4), pages 618-631.
    14. Mauricio S. Featherman & Nick Hajli, 2016. "Self-Service Technologies and e-Services Risks in Social Commerce Era," Journal of Business Ethics, Springer, vol. 139(2), pages 251-269, December.
    15. Tamara Dinev & Paul Hart, 2006. "An Extended Privacy Calculus Model for E-Commerce Transactions," Information Systems Research, INFORMS, vol. 17(1), pages 61-80, March.
    16. Masud Rana & Gazi Md. Shakhawat Hossain & Maruf Hasan, 2020. "Effectiveness of entrepreneurship skill development training – A case study at RUDSETI in Chitradurga District, Karnataka," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 11(3), pages 30-44, September.
    17. Eung-Suk Park & ByungYong Hwang & Kyungwan Ko & Daecheol Kim, 2017. "Consumer Acceptance Analysis of the Home Energy Management System," Sustainability, MDPI, vol. 9(12), pages 1-15, December.
    18. Jaydeep Mukherjee, 2016. "A comprehensive framework for adoption of mobile broadband services in Indian cities," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 6(1), pages 9-25, January.
    19. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    20. Radoslaw Macik & Dorota Macik, 2011. "Physical vs. Virtual Information Search and Purchase in the Buying Behavior of Polish Young Consumers," MIC 2011: Managing Sustainability? Proceedings of the 12th International Conference, Portorož, 23–26 November 2011 [Selected Papers],, University of Primorska, Faculty of Management Koper.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:17:p:4759-:d:262662. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.