Daily Context-Adaptive Presentation Driven by Personal Data Store
Metadata
- Publisher
- SMPTE
- Doc Type
- Journal Article
- Content Type
- Original Research
- Abbreviated Title
- SMPTE Motion Imaging Jour.
- Volume
- 133, No. 4, pp. 58–65
- Abstract
- Smart environments are expected to enable broadcasters to develop “context-adaptive content presentation” technology, through which heterogeneous smart and Internet-of-Things (IoT) devices in the environment work together to autonomously select and present appropriate content according to a user's context. However, it is impractical for a single broadcaster to implement all the functions in heterogeneous user environments. Therefore, a loosely coupled mechanism that allows devices and software developed by different manufacturers and service providers to work flexibly in various combinations is required. Thus, we designed a system architecture that utilizes context recognition and a personal data store to realize content presentation based on the user's moment-to-moment situation. We prototyped the system and confirmed its feasibility even if the context estimation and content presentation modules were constructed independently. The result demonstrates the scalability of our system architecture and the potential impact of adaptive media in the smart era.
- Publication Date
- 2024-07-01
- DOI
10.5594/JMI.2024/GZSR2120- ISSN
- Print:
1545-0279| Electronic:2160-2492 - Link
- https://doi.org/10.5594/JMI.2024/GZSR2120
- Author(s)
- Hiromu OgawaKinji MatsumuraHiroshi Fujisawa
- Keyword(s)
- Context-Adaptive Content Presentation, IoT, Personal Data Store (PDS)
- Copyright
- © 2024 SMPTE
Bibliographic Reference(s)
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- H. Ogawa and K. Matsumura, “Home Routines Suitable for Incidental Exposure to News: Pilot Field Experiment,” Ubicompiswc22adjunct: xProc. 2022 ACM Int. Joint Conf. on Pervasive and Ubiquitous Computing. September, pp. 94–96, 2022. EXTERNAL
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Hiromu Ogawa, Kinji Matsumura, and Hiroshi Fujisawa; Daily Context-Adaptive Presentation Driven by Personal Data Store, MIJ 2024, Volume 133, Number 4 (pp. 58 to 65); SMPTE, 2024. Available at https://doi.org/10.5594/JMI.2024/GZSR2120
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Hiromu Ogawa, Kinji Matsumura, and Hiroshi Fujisawa; Daily Context-Adaptive Presentation Driven by Personal Data Store, MIJ 2024, Volume 133, Number 4 (pp. 58 to 65); SMPTE, 2024. Available at https://doi.org/10.5594/JMI.2024/GZSR2120
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Hiromu Ogawa, Kinji Matsumura, and Hiroshi Fujisawa; Daily Context-Adaptive Presentation Driven by Personal Data Store, MIJ 2024, Volume 133, Number 4 (pp. 58 to 65); SMPTE, 2024. Available at https://doi.org/10.5594/JMI.2024/GZSR2120
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<span class="citation">Hiromu Ogawa, Kinji Matsumura, and Hiroshi Fujisawa; <cite>Daily Context-Adaptive Presentation Driven by Personal Data Store</cite>, MIJ 2024, Volume 133, Number 4 (pp. 58 to 65); SMPTE, 2024. Available at <a href="https://doi.org/10.5594/JMI.2024/GZSR2120" target="_blank" rel="noopener">https://doi.org/10.5594/JMI.2024/GZSR2120</a></span>
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Hiromu Ogawa, Kinji Matsumura, and Hiroshi Fujisawa; Daily Context-Adaptive Presentation Driven by Personal Data Store, MIJ 2024, Volume 133, Number 4 (pp. 58 to 65); SMPTE, 2024
doi: 10.5594/JMI.2024/GZSR2120
url: https://doi.org/10.5594/JMI.2024/GZSR2120
doi: 10.5594/JMI.2024/GZSR2120
url: https://doi.org/10.5594/JMI.2024/GZSR2120
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<li> Hiromu Ogawa, Kinji Matsumura, and Hiroshi Fujisawa; <cite id="bib-10-5594-jmi-2024-gzsr2120">Daily Context-Adaptive Presentation Driven by Personal Data Store</cite>, MIJ 2024, Volume 133, Number 4 (pp. 58 to 65); SMPTE, 2024 <span class="doi">10.5594/JMI.2024/GZSR2120</span> </li>