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2000
Volume 3, Issue 1
  • ISSN: 2666-7797
  • E-ISSN: 2666-7800

Abstract

The present work highlights how AI can enhance the personalized cosmetic experience based on the digitalization of make-up by consumers, the selection of perfect product characteristics and optimization of new cosmetic products on the basis of big data. Moreover, the different AI technologies applied in cosmetics have also been presented in a concise manner. Cosmetic companies are advancing and are expected to be even more advanced in the future. The present work could provide a new direction in the development of an AI algorithm approach for cosmetic companies’ development and for building a database for cosmetic applications.

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2024-01-01
2025-01-18
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References

  1. KumarS. MassieC. DumonceauxM.D. Comparative innovative business strategies of major players in cosmetic industry.Ind. Manage. Data Syst.2006106328530610.1108/02635570610653461
    [Google Scholar]
  2. BrandtF.S. CazzanigaA. HannM. Cosmeceuticals: Current trends and market analysis.Semin. Cutan. Med. Surg.2011201130314114310.1016/j.sder.2011.05.006
    [Google Scholar]
  3. BosireV.N. Factors Influencing the Adoption of Digital Marketing in Colour Cosmetic Companies in Kenya, Doctoral dissertation, United States International University-Africa,2021
    [Google Scholar]
  4. ParkY.W. HongP. ShinG.C. Rising and thriving in the post COVID-19 era: A case study of COSMAX, a leader of the Korean cosmetic industry.Asia Pac. Bus. Rev.20232941105112410.1080/13602381.2022.2059955
    [Google Scholar]
  5. MartorellA Martin-GorgojoA Ríos-ViñuelaE Rueda-CarneroJM AlfagemeF TabernerR Artificial intelligence in dermatology: A threat or an opportunity?Dermo-syphiliographic minutes.20221131T30T46
    [Google Scholar]
  6. ElderA. RingC. HeitmillerK. GabrielZ. SaediN. The role of artificial intelligence in cosmetic dermatology-Current, upcoming, and future trends.J. Cosmet. Dermatol.2021201485210.1111/jocd.1379733151612
    [Google Scholar]
  7. BohrA. MemarzadehK. The rise of artificial intelligence in healthcare applications.Artificial Intelligence in healthcare.Academic Press2020256010.1016/B978‑0‑12‑818438‑7.00002‑2
    [Google Scholar]
  8. GrayD. YuK. XuW. GongY. Predicting facial beauty without landmarks.Computer Vision–ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece Proceedings2010434447
    [Google Scholar]
  9. MhlangaD. Artificial intelligence in the industry 4.0, and its impact on poverty, innovation, infrastructure development, and the sustainable development goals: Lessons from emerging economies?Sustainability20211311578810.3390/su13115788
    [Google Scholar]
  10. ZhangQ. LuJ. JinY. Artificial intelligence in recommender systems.Complex Intell Syst.20217143945710.1007/s40747‑020‑00212‑w
    [Google Scholar]
  11. PolzerJ.T. The rise of people analytics and the future of organizational research.Res. Organ. Behav.20224210018110.1016/j.riob.2023.100181
    [Google Scholar]
  12. HanX. WuZ. WuZ. YuR. DavisL.S. Viton: An image-based virtual try-on network.Proceedings of the IEEE conference on computer vision and pattern recognition201875437552
    [Google Scholar]
  13. KipsR. JiangR. BaS. PhungE. AarabiP. GoriP. PerrotM. BlochI. Deep graphics encoder for real-time video makeup synthesis from example.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition20213889389310.1109/CVPRW53098.2021.00431
    [Google Scholar]
  14. AlzahraniT. Artificial Intelligence Applied to Facial Image Analysis and Feature MeasurementThe University of LiverpoolUnited Kingdom2022
    [Google Scholar]
  15. BastienF. LamblinP. PascanuR. BergstraJ. GoodfellowI. BergeronA. BouchardN. Warde-FarleyD. BengioY. Theano: New features and speed improvements.arXiv preprint201212115590
    [Google Scholar]
  16. JiaY. ShelhamerE. DonahueJ. KarayevS. LongJ. GirshickR. GuadarramaS. DarrellT. Caffe: Convolutional architecture for fast feature embedding.Proceedings of the 22nd ACM international conference on Multimedia2014675678
    [Google Scholar]
  17. LavoyeV. MeroJ. TarkiainenA. Consumer behavior with augmented reality in retail: A review and research agenda.Int. Rev. Retail Distrib. Consum. Res.202131329932910.1080/09593969.2021.1901765
    [Google Scholar]
  18. AbadiM. AgarwalA. BarhamP. BrevdoE. ChenZ. CitroC. CorradoG.S. DavisA. DeanJ. DevinM. GhemawatS. Tensorflow: Large-scale machine learning on heterogeneous distributed systems.arXiv preprint2016160304467
    [Google Scholar]
  19. HilkenT. de RuyterK. ChylinskiM. MahrD. KeelingD.I. Augmenting the eye of the beholder: Exploring the strategic potential of augmented reality to enhance online service experiences.J. Acad. Mark. Sci.201745688490510.1007/s11747‑017‑0541‑x
    [Google Scholar]
  20. CollobertR. KavukcuogluK. FarabetC. Torch7: A matlab-like environment for machine learning.Neural Information Processing Systems2011
    [Google Scholar]
  21. AhmedR.R. StreimikieneD. BerchtoldG. VveinhardtJ. ChannarZ.A. SoomroR.H. Effectiveness of online digital media advertising as a strategic tool for building brand sustainability: Evidence from FMCGs and services sectors of Pakistan.Sustainability20191112343610.3390/su11123436
    [Google Scholar]
  22. BermanB. PollackD. Strategies for the successful implementation of augmented reality.Bus. Horiz.202164562163010.1016/j.bushor.2021.02.027
    [Google Scholar]
  23. FrederickS. BamberP. BrunL. ChoJ. GereffiG. LeeJ. Korea in global value chains: Pathways for industrial transformation.Flobal Value Chain2017
    [Google Scholar]
  24. YimM.Y.C. ChuS.C. SauerP.L. Is augmented reality technology an effective tool for e-commerce? An interactivity and vividness per-spective.J. Interact. Market20173918910310.1016/j.intmar.2017.04.001
    [Google Scholar]
  25. LeeJ. KwonK.H. Mobile shopping beauty live commerce changes in COVID‐19 pandemic focused on fun contents of MZ generation in Republic of Korea.J. Cosmet. Dermatol.20222162298230610.1111/jocd.1444235466510
    [Google Scholar]
  26. AnifaN. SanajiS. Augmented reality users: The effect of perceived ease of use, perceived usefulness, and customer experience on repur-chase intention.J. Bus. Manag. Rev.20223325227410.47153/jbmr33.3462022
    [Google Scholar]
  27. TanY.C. ChandukalaS.R. ReddyS.K. Augmented reality in retail and its impact on sales.J. Mark.2022861486610.1177/0022242921995449
    [Google Scholar]
  28. BialkovaS BarrC. Virtual try-on: How to enhance consumer experience?2022 IEEE conference on virtual reality and 3D user interfaces abstracts and workshops (VRW)Christchurch, New Zealand20220108
    [Google Scholar]
  29. VonguraiR. Factors influencing experiential value toward using cosmetic AR try-on feature in Thailand.J. Distrib. Sci.20211917587
    [Google Scholar]
  30. WedelM. BignéE. ZhangJ. Virtual and augmented reality: Advancing research in consumer marketing.Int. J. Res. Mark.202037344346510.1016/j.ijresmar.2020.04.004
    [Google Scholar]
  31. QuiringO. What do users associate with ‘interactivity’?New Media Soc.200911689992010.1177/1461444809336511
    [Google Scholar]
  32. EdwardJ.D. Sally, J Defining interactivity: A qualitative identification of key dimensions.New Media Soc.200022157179
    [Google Scholar]
  33. SteuerJ. BioccaF. LevyMR Defining virtual reality: Dimensions determining telepresence.J. Commun.20004243749
    [Google Scholar]
  34. LeeK.M. Presence, explicated.Commun. Theory2004141275010.1111/j.1468‑2885.2004.tb00302.x
    [Google Scholar]
  35. JiangZ. BenbasatI. Research note - investigating the influence of the functional mechanisms of online product presentations.Inf. Syst. Res.200718445447010.1287/isre.1070.0124
    [Google Scholar]
  36. Nisbett, Richard E.; Ross, Lee Strategies and Shortcomings of Social Judgment.Human Inference.Englewood Cliffs, NJ, USAPrentice-Hall1980
    [Google Scholar]
  37. PhillipsD.M. OlsonJ.C. BaumgartnerH. Consumption visions in consumer decision making.Adv. Consum. Res.1995221280
    [Google Scholar]
  38. LiH. DaughertyT. BioccaF. Impact of 3-D advertising on product knowledge, brand attitude, and purchase intention: The mediating role of presence.J. Advert.2002313435710.1080/00913367.2002.10673675
    [Google Scholar]
  39. AkinbiyiT. OthmanS. FamilusiO. CalvertC. CardE.B. PercecI. Better results in facial rejuvenation with fillers.Plast. Reconstr. Surg. Glob. Open2020810e276310.1097/GOX.000000000000276333173655
    [Google Scholar]
  40. NgC.C. YapM.H. CostenN. LiB. Wrinkle detection using hessian line tracking.IEEE Access201531079108810.1109/ACCESS.2015.2455871
    [Google Scholar]
  41. WeiY. SimayA.E. AgárdiI. SyahrivarJ. Hofmeister-TóthÁ. Using artificial intelligence to promote branded color cosmetics: Evi-dence from Indonesia.J. Promot. Manage.202329564467510.1080/10496491.2022.2163036
    [Google Scholar]
  42. JamkaK. Wróblewska-ŁuczkaP. AdamczukP. ZawadzkiP. BojarH. RaszewskiG. Methodology for preparing a cosmetic sample for the development of Microorganism Detection System (SDM) software and artificial intelligence learning to recognize specific microbial species.Ann. Agric. Environ. Med.202128468168510.26444/aaem/14469634969229
    [Google Scholar]
  43. JakharD. KaurI. Artificial intelligence, machine learning and deep learning: Definitions and differences.Clin. Exp. Dermatol.202045113113210.1111/ced.1402931233628
    [Google Scholar]
  44. KatoY. A study on application of Artificial Intelligence (AI) for cosmetics: Quantum Computer is necessary for beauty-field analysis.2018 International Conference on Electronics Packaging and iMAPS All Asia Conference (ICEP-IAAC)201815716010.23919/ICEP.2018.8374693
    [Google Scholar]
  45. VahdaniB. IranmaneshS.H. MousaviS.M. AbdollahzadeM. A locally linear neuro-fuzzy model for supplier selection in cosmetics industry.Appl. Math. Model.201236104714472710.1016/j.apm.2011.12.006
    [Google Scholar]
  46. BatoolN. ChellappaR. Fast detection of facial wrinkles based on Gabor features using image morphology and geometric constraints.Pattern Recognit.201548364265810.1016/j.patcog.2014.08.003
    [Google Scholar]
  47. CazzanigaS. SassiF. MercuriS.R. NaldiL. Prediction of clinical response to excimer laser treatment in vitiligo by using neural network models.Dermatology2009219213313710.1159/00022593419546510
    [Google Scholar]
  48. LimH. ParkS. NohS. LeeD.H. YoonC. KohW. KimY. ChungJ.H. KimH.C. KimS. A study on the development of a robot-assisted automatic laser hair removal system.Photomed. Laser Surg.2014321163364110.1089/pho.2014.377425343281
    [Google Scholar]
  49. LimH. LeeD.H. ChoM. ParkS. KohW. KimY. ChungJ.H. KimS. Comparison of efficacy between novel robot-assisted laser hair removal and physician-directed hair removal.Photomed. Laser Surg.2015331050951610.1089/pho.2015.394826348098
    [Google Scholar]
  50. ParkS. LimH. ChoM. LeeD.H. KohW. KimY. ChungJ.H. KimS. Improvement in laser-irradiation efficiency of robot-assisted laser hair removal through pose measurement of skin surface.Photomed. Laser Surg.2016341424910.1089/pho.2015.401826595823
    [Google Scholar]
  51. UncuogluE. CitakogluH. LatifogluL. BayramS. LamanM. IlkentaparM. OnerA.A. Comparison of neural network, Gaussian regression, support vector machine, long short-term memory, multi-gene genetic programming, and M5 Trees methods for solving civil engineering problems.Appl. Soft Comput.202212910962310.1016/j.asoc.2022.109623
    [Google Scholar]
  52. HuangT.L. MathewsS. ChouC.Y. Enhancing online rapport experience via augmented reality.J. Serv. Mark.201933785186510.1108/JSM‑12‑2018‑0366
    [Google Scholar]
  53. SmithK.P. KirbyJ.E. Image analysis and artificial intelligence in infectious disease diagnostics.Clin. Microbiol. Infect.202026101318132310.1016/j.cmi.2020.03.01232213317
    [Google Scholar]
  54. GrewalD. NobleS.M. RoggeveenA.L. NordfaltJ. The future of in-store technology.J. Acad. Mark. Sci.20204819611310.1007/s11747‑019‑00697‑z
    [Google Scholar]
  55. HellerJ. ChylinskiM. de RuyterK. MahrD. KeelingD.I. Let me imagine that for you: Transforming the retail frontline through augmenting customer mental imagery ability.J. Retailing20199529411410.1016/j.jretai.2019.03.005
    [Google Scholar]
  56. BalakrishnanS. HameedM.S. VenkatesanK. AswinG. Interaction of spatial computing in augmented reality.2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS)202111900190410.1109/ICACCS51430.2021.9442010
    [Google Scholar]
  57. RayomeA.D. How Sephora is leveraging AR and AI to transform retail and help customers buy cosmetics.TechRepublic201815
    [Google Scholar]
  58. De RegtA. BarnesS.J. V-commerce in retail: Nature and potential impact. Dieck, M, tom; T, Jung.Augmented Reality and Virtual Reali-ty.ChamSpringer20191725
    [Google Scholar]
  59. KimS.J. LeeS.Y. A study on the deployment status and development plan of retail technology.Fourth Indust. Rev.2021112329
    [Google Scholar]
  60. De AlmeidaD.R. GuedesP.A. da SilvaM.M. SilvaA.L. do Monte LimaJ.P. TeichriebV. Interactive makeup tutorial using face tracking and augmented reality on mobile devices.2015 XVII Symposium on Virtual and Augmented RealitySao Paulo, Brazil201522022610.1109/SVR.2015.39
    [Google Scholar]
  61. JavornikA. Directions for studying user experience with augmented reality in public.Augmented Reality and Virtual Reality201819921010.1007/978‑3‑319‑64027‑3_14
    [Google Scholar]
  62. RauschnabelP.A. BabinB.J. tom DieckM.C. KreyN. JungT. What is augmented reality marketing? Its definition, complexity, and future.J. Bus. Res.20221421140115010.1016/j.jbusres.2021.12.084
    [Google Scholar]
  63. FanX. ChaiZ. DengN. DongX. Adoption of augmented reality in online retailing and consumers’ product attitude: A cognitive perspective.J. Retailing Consum. Serv.20205310198610.1016/j.jretconser.2019.101986
    [Google Scholar]
  64. SungE.C. The effects of augmented reality mobile app advertising: Viral marketing via shared social experience.J. Bus. Res.2021122758710.1016/j.jbusres.2020.08.034
    [Google Scholar]
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