Exploration of Deep Learning-based Augmented Reality Complex Scene Object Tracking Technology in Communication
DOI:
https://doi.org/10.52152/RCR.V14.S3Keywords:
Deep Learning, Augmented Reality, Object Tracking, Communication, TechnologyAbstract
The emergence of deep learning (DL) and augmented reality (AR) have revolutionized the landscape of communication and media industries. A detailed connection between AR-based object tracking and digital communication together with user experience remains absent throughout academic research. The research aims to fill this literature gap by performing a systematic literature review (SLR) that studies the confluence of AR object-tracking systems and communication technologies. The main purpose focuses on evaluating how AR elevates user connection alongside perceptual abilities and media interface experiences in light of emerging trends and tracking roadmaps in AR-based applications. The review design incorporates structured SLR methodology which selects studies from main databases through precise search terms. The review performed thematic analysis to extract major themes from previous study findings and gaps. AR object tracking proved to be a major digital communication advancement that improves user interactions on social networks and marketing channels together with brand promo activities. Changes in self-perception together with identity transformation emerge as major psychological results from AR interactions. The study shows why AR technology is crucial for creating immersive responses through interactive communication which will shape future developments of AR solutions in digital media platforms along with marketing and communication strategies.
References
Ajani, Y. A., Enakrire, R. T., Oladokun, B. D., & Bashorun, M. T. (2023). Reincarnation of libraries via metaverse: A pathway for a sustainable knowledge system in the digital age. Business Information Review, 40(4), 191-197.https://doi.org/10.1177/02663821231208044
Alimamy, S., & Jung, T. (2024). The AR cloud: Navigating metaverse augmentation technologies for enhanced co-creation of value within services. Journal of Service Research, 10946705241265753. https://doi.org/10.1177/10946705241265753
Alnaser, A. (2024). The Impact of AI-Augmented Image and Video Editing on Social Media Engagement, Perception, and Digital Culture. Journal of Computational Intelligence, Machine Reasoning, and Decision-Making, 9(10), 15-32.
Alsamhi, M. H., Hawbani, A., Kumar, S., & Alsamhi, S. H. (2024). Multisensory metaverse-6G: A new paradigm of commerce and education. IEEE Access. DOI: 10.1109/ACCESS.2024.3392838
Aung, N. H. H., Sangwongngam, P., Jintamethasawat, R., Shah, S., & Wuttisittikulkij, L. (2024). A review of lidar-based 3d object detection via deep learning approaches towards robust connected and autonomous vehicles. IEEE Transactions on Intelligent Vehicles. DOI: 10.1109/TIV.2024.3415771
Balasubramanian, K., Kunasekaran, P., Konar, R., & Sakkthivel, A. M. (2022). Integration of augmented reality (AR) and virtual reality (VR) as marketing communications channels in the hospitality and tourism service sector. In Marketing Communications and Brand Development in Emerging Markets Volume II: Insights for a Changing World (pp. 55-79). Cham: Springer International Publishing.
Bhatt, D., Patel, C., Talsania, H., Patel, J., Vaghela, R., Pandya, S., ... & Ghayvat, H. (2021). CNN variants for computer vision: History, architecture, application, challenges and future scope. Electronics, 10(20), 2470. https://doi.org/10.3390/electronics10202470
Chen, S., Cheng, H., Su, S., Patterson, S., Kushalnagar, R., Wang, Q., & Huang, Y. (2024). Customizing Generated Signs and Voices of AI Avatars: Deaf-Centric Mixed-Reality Design for Deaf-Hearing Communication. arXiv preprint arXiv:2410.01604.
Chong, S. E., Ng, S. I., Basha, N. K., & Lim, X. J. (2024). Connecting the Dots: Haptic Imagery's Sequential Impact via Serial Mediation in Social Commerce Applications. International Journal of Business Science & Applied Management, 19(2).
Cui, G., Lockee, B., & Meng, C. (2013). Building modern online social presence: A review of social presence theory and its instructional design implications for future trends. Education and information technologies, 18, 661-685. https://doi.org/10.1007/s10639-012-9192-1
Daoud, M. K., Alqudah, D., Al-Qeed, M., & Al GASAWNEH, J. A. (2023). Exploring the Effectiveness of Augmented Reality in Enhancing Brand Engagement: A Study of Digital Marketing Strategies. Quality-Access to Success, 24(196)
Devagiri, J. S., Paheding, S., Niyaz, Q., Yang, X., & Smith, S. (2022). Augmented Reality and Artificial Intelligence in industry: Trends, tools, and future challenges. Expert Systems with Applications, 207, 118002.https://doi.org/10.1016/j.eswa.2022.118002
Fribourg, R., Peillard, E., & Mcdonnell, R. (2021, October). Mirror, mirror on my phone: Investigating dimensions of self-face perception induced by augmented reality filters. In 2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) (pp. 470-478). IEEE.
Georgiou, T., Liu, Y., Chen, W., & Lew, M. (2020). A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision. International Journal of Multimedia Information Retrieval, 9, 135-170.
Gu, R., Higa, K., & Moodie, D. R. (2011). A study on communication media selection: Comparing the effectiveness of the media richness, social influence, and media fitness. Journal of Service Science and Management, 4(03), 291. doi:10.4236/jssm.2011.43035
Hashi, A. O., Hashim, S. Z. M., & Asamah, A. B. (2024). A Systematic Review of Hand Gesture Recognition: An Update From 2018 to 2024. IEEE Access. DOI: 10.1109/ACCESS.2024.3421992
Isakowitsch, C. (2022, December). How augmented reality beauty filters can affect self-perception. In Irish Conference on Artificial Intelligence and Cognitive Science (pp. 239-250). Cham: Springer Nature Switzerland.
Iyer, S. R. (2023). Understanding How News Content Utilizes Experiential Media (AR, VR, and 360° Video) in COVID-19 Storytelling. Athens Journal of Mass Media & Communications, 9(2). https://doi.org/10.30958/ajmmc.9-2-2
Kamaruddin, N. H., Hashim, M. E. A. B., Mustafa, W. A. W., Nasir, S. M., Harun, M. F., & Jasim, L. H. (2023, November). Immersive Technologies: A Literature Review on Brand Engagement and Consumer Behaviour. In 2023 International Conference for Technological Engineering and its Applications in Sustainable Development (ICTEASD) (pp. 196-201). IEEE.
Katebi, A., Homami, P., & Najmeddin, M. (2022). Acceptance model of precast concrete components in building construction based on technology acceptance model (TAM) and technology, organization, and environment (TOE) framework. Journal of Building Engineering, 45, 103518. https://doi.org/10.1016/j.jobe.2021.103518
Kozinets, R. V. (2023). Immersive netnography: a novel method for service experience research in virtual reality, augmented reality and metaverse contexts. Journal of Service Management, 34(1), 100-125. https://doi.org/10.1108/JOSM-12-2021-0481
Kuzma, K. P. (2022). Occlusion in Augmented Reality: Exploring the problem of rendering semi-occluded objects in augmented reality using a model-based approach (Master's thesis).
Liu, S. (2021, December). The impact of influencer marketing on brand engagement: A conceptual framework. In 2021 4th International Conference on Humanities Education and Social Sciences (ICHESS 2021) (pp. 2219-2224). Atlantis Press.
Lok, S. N. (2024). Augmented Reality Filters and Generation Z: a Study on Engagement, Self-Perception and Emotional Responses (Doctoral dissertation, Tunku Abdul Rahman University of Management and Technology).
Miller, M. R., Jun, H., Herrera, F., Yu Villa, J., Welch, G., & Bailenson, J. N. (2019). Social interaction in augmented reality. PloS one, 14(5), e0216290.
Kamaruddin, N. H., Hashim, M. E. A. B., Mustafa, W. A. W., Nasir, S. M., Harun, M. F., & Jasim, L. H. (2023, November). Immersive Technologies: A Literature Review on Brand Engagement and Consumer Behaviour. In 2023 International Conference for Technological Engineering and its Applications in Sustainable Development (ICTEASD) (pp. 196-201). IEEE.
Oyewole, A. T., Adeoye, O. B., Addy, W. A., Okoye, C. C., Ofodile, O. C., & Ugochukwu, C. E. (2024). Augmented and virtual reality in financial services: A review of emerging applications. World Journal of Advanced Research and Reviews, 21(3), 551-567. DOI url: https://doi.org/10.30574/wjarr.2024.21.3.0623
Park, J., Kim, W., Ryu, J., & Paek, J. (2024, October). B2DC: Balanced Point Cloud Data Reduction Based on Biplanar 2D Curvature. In 2024 15th International Conference on Information and Communication Technology Convergence (ICTC) (pp. 452-455). IEEE. DOI: 10.1109/ICTC62082.2024.10827285
Phillips, D. (2024). Augmenting Public Relations: An Introduction to AI and Other Technologies for PR. CRC Press.
Ramya, R., & Ramamoorthy, S. (2025). AI in Communication Technology and Innovation of AR/VR in Communication. In Impact of Digitalization on Communication Dynamics (pp. 1-28). IGI Global Scientific Publishing.
Rehman, A., Abbas, Q., & Pahore, M. R. (2024). Reality Reimagined: Tracing the Evolution and Anticipating the Future of Virtual and Augmented Reality in Media. Media and Communication Review, 4(1), 164-185. DOI: https://doi.org/10.32350/mcr.41.08
Rosenberg, L. (2023, March). The metaverse and conversational AI as a threat vector for targeted influence. In 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 0504-0510). IEEE
Shah, S., & Tembhurne, J. (2023). Object detection using convolutional neural networks and transformer-based models: a review. Journal of Electrical Systems and Information Technology, 10(1), 54.
Sinha, M., & Srivastava, M. (2023). Augmented reality: New future of social media influencer marketing. Vision, https://doi.org/10.1177/09722629221147124
Sinlapanuntakul, P., & Zachry, M. (2024, June). Augmenting Self-presentation: Augmented Reality (AR) Filters Use Among Young Adults. In International Conference on Human-Computer Interaction (pp. 93-105). Cham: Springer Nature Switzerland.
Taylor, J., & Gibson, L. K. (2017). Digitisation, digital interaction and social media: embedded barriers to democratic heritage. International Journal of Heritage Studies, 23(5), 408-420.
Tukur, M. M. (2024). AI-Based Creation of Panoramic Indoor Environments for the Metaverse (Doctoral dissertation, Hamad Bin Khalifa University (Qatar)).
Wang, X., & Hu, B. (2024). Machine Learning Algorithms for Improved Product Design User Experience. IEEE Access DOI: 10.1109/ACCESS.2024.3442085
Wu, Y., & Liu, D. (2024). Investigating the impact of augmented reality technology on user engagement and interaction in digital media environments. Journal of Computational Methods in Sciences and Engineering, 14727978241309544.
Ye, W., & Li, Y. (2022). Design and research of digital media art display based on virtual reality and augmented reality. Mobile Information Systems, 2022(1), 6606885.
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