Abstract
Artificial Intelligence combined with Augmented Reality creates live connections of virtual content to real environments that changes how people use technology. AI-AR systems combine modern vision systems, learning technologies and edge processing to make smart adaptable interactions across multiple business sectors. These advanced technologies help industries and everyday users work better while creating more precise customized results. Our research dives into the joint work of AI algorithms and AR screens that enable decisions to occur instantly. Our research focuses on AI capabilities such as object scanning, language processing, and distribution systems to explain why AI makes AR systems more effective. Our research shows AI-AR systems overcome technology barriers to deliver real-time intelligent environments for better responses and personalization options. The research examines both the specific advantages and general modifications AI-AR technology can create when integrating virtual content into actual daily experiences. Through research and industry examples this analysis reveals AI-AR technology will enable new opportunities in education, retail, healthcare, and manufacturing sectors. Thanks to AI-AR technology our daily life and industrial progress will see immersive intelligent experiences as a standard part of our future.
Keywords
References
- S. Verma, and S. Mehta et al., “Past, present, and future of virtual tourism-a literature review,” International Journal of Information Management Data Insights,vol.2, no. 2, p. 100085, Nov. 2022, doi: https://doi.org/10.1016/j.jjimei.2022.100085DOI ↗Google Scholar ↗
- N. Rane, S. Choudhary, and J. Rane, “Metaverse Marketing Strategies: Enhancing Customer Experience and Analysing Consumer Behaviour Through Leading-edge Metaverse Technologies, Platforms, and Models,” Social Science Research Network, Nov. 03, 2023. https://ssrn.com/abstract=4624199Google Scholar ↗
- Yogesh. K. Dwivedi et al., “Artificial Intelligence (AI): Multidisciplinary Perspectives on Emerging challenges, opportunities, and Agenda for research, Practice and Policy,” International Journal of Information Management, vol. 57, no. 101994, Aug. 2021, doi: https://doi.org/10.1016/j.ijinfomgt.2019.08.002DOI ↗Google Scholar ↗
- Fuller, Z. Fan, C. Day, and C. Barlow, “Digital Twin: Enabling Technologies, Challenges and Open Research,” IEEE Access, vol. 8, pp. 108952–108971, May 2020, doi: https://doi.org/10.1109/access.2020.2998358DOI ↗Google Scholar ↗
- G.Appel, L. Grewal, R. Hadi, and A. T. Stephen, “The Future of Social Media in Marketing,” Journal of the Academy of Marketing Science, vol. 48, no. 1, pp. 79–95, Oct. 2020, doi: https://doi.org/10.1007/s11747-019-00695-1DOI ↗Google Scholar ↗
- Li H, Yazdi M (2022) Advanced decision-making methods and applications in system safety and reliability problems. Springer Cham. https://link.springer.com/book/9783031074295Google Scholar ↗
- Elshaboury N, Al-Sakkaf A, Alfalah G, Abdelkader EM (2022) Data-driven models for forecasting failure modes in oil and gas pipes. Processes 10:1–17. https://doi.org/10.3390/pr10020400DOI ↗Google Scholar ↗
- Ramebäck H, Lindgren P (2018) Uncertainty evaluation in gamma spectrometric measurements: uncertainty propagation versus Monte Carlo simulation. Appl Radiat Isot 142:71–76. https://doi.org/10.1016/j.apradiso.2018.09.024DOI ↗Google Scholar ↗
- Achanccaray D, Pacheco K, Carranza E, et al. (2018) Immersive virtual reality feedback in a brain computer interface for upper limb rehabilitation. In: 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp 1006–1010, https://doi.org/10.1109/SMC.2018.00179DOI ↗Google Scholar ↗
- Agulló B, Montagud M, Fraile I (2019) Making interaction with virtual reality accessible: rendering and guiding methods for subtitles. Artif Intell Eng Des Anal Manuf 33(4):416–428. https://doi.org/10.1017/S0890060419000362DOI ↗Google Scholar ↗
- Bailey B, Bryant L, Hemsley B (2021) Virtual reality and augmented reality for children, adolescents, and adults with communication disability and neurodevelopmental disorders: a systematic review. Rev J Autism Dev Disorders. https://doi.org/10.1007/s40489-020-00230-xDOI ↗Google Scholar ↗
- Baker S, Kelly RM, Waycott J et al (2019) Interrogating social virtual reality as a communication medium for older adults. Proc ACM Hum Comput Interact. https://doi.org/10.1145/3359251DOI ↗Google Scholar ↗
- Baker S, Waycott J, Robertson E et al (2020) Evaluating the use of interactive virtual reality technology with older adults living in residential aged care. Inf Process Manag 57(3):102,105. https://doi.org/10.1016/j.ipm.2019.102105DOI ↗Google Scholar ↗
- Benham S, Kang M, Grampurohit N (2019) Immersive virtual reality for the management of pain in community-dwelling older adults. OTJR Occup Particip Health 39(2):90–96. https://doi.org/10.1177/1539449218817291DOI ↗Google Scholar ↗
- Bertram C, Evans M, Javaid M, et al. (2013) Sensory augmentation with distal touch: The tactile helmet project. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8064 LNAI:24–35. https://doi.org/10.1007/978-3-642-39802-5_3DOI ↗Google Scholar ↗
- Cassidy B, Read J, MacKenzie I (2019) An evaluation of radar metaphors for providing directional stimuli using non-verbal sound. In: Conference on Human Factors in Computing Systems–Proceedings, https://doi.org/10.1145/3290605.3300289DOI ↗Google Scholar ↗
- Coughlan JM, Miele J (2017) AR4VI: AR as an accessibility tool for people with visual impairments. In: 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct), pp 288–292, https://doi.org/10.1109/ISMAR-Adjunct.2017.89DOI ↗Google Scholar ↗
- D’Agnano F, Balletti C, Guerra F, et al. (2015) Tooteko: a case study of augmented reality for an accessible cultural heritage. Digitization, 3D printing and sensors for audio-tactile experience. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences–ISPRS Archives, pp 207–213, https://doi.org/10.5194/isprsarchives-XL-5-W4-207-2015DOI ↗Google Scholar ↗
- Ciccone B, Bailey S, Lewis J (2021) The next generation of virtual reality: recommendations for accessible and ergonomic design. Ergon Des. https://doi.org/10.1177/10648046211002578DOI ↗Google Scholar ↗
- Didehbani N, Allen T, Kandalaft M et al (2016) Virtual reality social cognition training for children with high functioning autism. Comput Hum Behav 62:703–711. https://doi.org/10.1016/j.chb.2016.04.033DOI ↗Google Scholar ↗
- Fogli D, Sansoni D, Trivella E et al (2018) Advanced interaction technologies for accessible and engaging cultural heritage. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST 233:364–373. https://doi.org/10.1007/978-3-319-76111-4_36DOI ↗Google Scholar ↗
- Foxman MH (2018) Playing with Virtual reality: early adopters of commercial immersive technology. PhD thesis, Columbia University, https://doi.org/10.7916/D8M05NH3DOI ↗Google Scholar ↗
- Franz R, Junuzovic S, Mott M (2021) Nearmi: A framework for designing point of interest techniques for VR Users with limited mobility. In: ASSETS 2021 - 23rd International ACM SIGACCESS Conference on Computers and Accessibility, https://doi.org/10.1145/3441852.3471230DOI ↗Google Scholar ↗
- Gang P, Hui J, Stirenko S et al (2019) User-driven intelligent interface on the basis of multimodal augmented reality and brain-computer interaction for people with functional disabilities. Adv Intell Syst Comput 886:612–631. https://doi.org/10.1007/978-3-030-03402-3_43DOI ↗Google Scholar ↗
- Kreimeier J, Karg P, Götzelmann T (2020a) BlindWalkVR: formative insights into blind and visually impaired people’s VR locomotion using commercially available approaches. In: ACM International Conference Proceeding Series, pp 213–220, https://doi.org/10.1145/3389189.3389193DOI ↗Google Scholar ↗
- Kreimeier J, Karg P, Götzelmann T (2020b) Tabletop virtual haptics: feasibility study for the exploration of 2.5D virtual objects by blind and visually impaired with consumer data gloves. In: ACM International Conference Proceeding Series, pp 221–230, https://doi.org/10.1145/3389189.3389194DOI ↗Google Scholar ↗
- Kunze K, Henze N, Kise K (2014) Wearable computing for older adults: initial insights into head-mounted display usage. In: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication. Association for Computing Machinery, Seattle, Washington, UbiComp ’14 Adjunct, pp 83–86, https://doi.org/10.1145/2638728.2638747DOI ↗Google Scholar ↗
- Lamash L, Klinger E, Josman N (2017) Using a virtual supermarket to promote independent functioning among adolescents with autism spectrum disorder. In: 2017 International Conference on Virtual Rehabilitation (ICVR), pp 1–7, https://doi.org/10.1109/ICVR.2017.8007467DOI ↗Google Scholar ↗
- Lang F, Machulla T (2021) Pressing a button you cannot see: evaluating visual designs to assist persons with low vision through augmented reality. In: Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST, https://doi.org/10.1145/3489849.3489873DOI ↗Google Scholar ↗
- Mengoni M, Iualè M, Peruzzini M et al (2015) An adaptable AR user interface to face the challenge of ageing workers in manufacturing. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 9194:311–323. https://doi.org/10.1007/978-3-319-20913-5_29DOI ↗Google Scholar ↗