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              Our user study provided valuable insights        [3] C. Kim, K. K. Lee, M. S. Kang, D.-M.
            into the effectiveness of olfactory-enhanced          Shin, J.-W. Oh, C.-S. Lee, and D.-W. Han,
            multimedia. Participants reported moderate to         “Artificial olfactory sensor technology that
            high levels of match between presented odors          mimics the olfactory mechanism: a com-
            and video content, with average match scores          prehensive review,” Biomaterials Research,
            of 4.5 and 5.33 out of 7 for the two test videos.     vol. 26, no. 1, p. 40, 2022.
            The addition of olfactory stimuli significantly
            enhanced the immersive quality of the viewing      [4] S. Saito, “Expressions of offensive odors
            experience, with most participants preferring         and everyday odors using words (in
            the olfactory-enhanced viewing. However, the          japanese),” Journal of Japan Association
            study also revealed challenges, including the         on Odor Environment, vol. 44, no. 6,
            need for improved odor dissipation, calibration       pp. 363–379, 2013.
            of odor intensities, and consideration of indi-    [5] Y. Eda, H. Matsukura, Y. Nozaki, and
            vidual differences in olfactory perception.           M. Sakamoto, “Detection of odor-related
                                                                  objects in images based on everyday odors
              This research highlights the untapped po-           in japan,” 2023.
            tential of olfactory integration in multimedia,
            paving the way for more immersive and engag-       [6] A. Radford, J. W. Kim, T. Xu, G. Brock-
            ing experiences.  By combining cutting-edge           man, C. McLeavey, and I. Sutskever, “Ro-
            AI techniques with practical implementation           bust speech recognition via large-scale weak
            strategies, we have set a foundation for future       supervision,” in International Conference
            advancements in this exciting field.  Moving          on Machine Learning, pp. 28492–28518,
            forward, efforts should focus on refining odor        PMLR, 2023.
            presentation techniques, exploring the com-        [7] T. Nakamoto and H. P. D. Minh, “Improve-
            plex interplay between visual, auditory, and          ment of olfactory display using solenoid
            olfactory cues in multimedia contexts, and in-        valves,” in 2007 IEEE Virtual Reality Con-
            vestigating personalization strategies to account     ference, pp. 179–186, 2007.
            for individual differences in odor perception.
                                                               [8] L. Ouyang, J. Wu, X. Jiang, D. Almeida,
              In conclusion, our work demonstrates the fea-       C. Wainwright, P. Mishkin, C. Zhang,
            sibility and potential impact of integrating ol-      S. Agarwal, K. Slama, and A. Ray, “Train-
            factory experiences into multimedia content us-       ing language models to follow instructions
            ing advanced AI techniques. As we continue            with human feedback,” Advances in Neu-
            to push the boundaries of multi-sensory media,        ral Information Processing Systems, vol. 35,
            such technologies promise to revolutionize how        pp. 27730–27744, 2022.
            we interact with and experience digital content,   [9] J.  Wei,  X.  Wang,    D.  Schuurmans,
            opening new avenues for immersive storytelling        M. Bosma, F. Xia, E. Chi, Q. V. Le,
            and information delivery.
                                                                  D. Zhou, et al., “Chain-of-thought prompt-
                                                                  ing elicits reasoning in large language mod-
            References                                            els,” Advances in neural information pro-
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