Daily Context-Adaptive Presentation Driven by Personal Data Store

Hiromu Ogawa, Kinji Matsumura, Hiroshi Fujisawa

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.

Print ISSN
Electronic ISSN
2160-2492
Published
2024-07
Content type
Original Research
Keywords
context-adaptive content presentation, internet-of-things (iot), personal data store (pds)
DOI
10.5594/JMI.2024/GZSR2120