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Digital Media Interaction Technology in Smart Elderly Scenarios: An Application Study

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DOI: 10.23977/acss.2025.090304 | Downloads: 7 | Views: 191

Author(s)

Di He 1

Affiliation(s)

1 Xi'an Peihua University, Xi'an, Shaanxi, 710125, China

Corresponding Author

Di He

ABSTRACT

Under the background of population aging, smart aging puts forward new requirements for digital media interaction technology. In this paper, we design a smart aging service platform based on multimodal interaction for the use characteristics of the elderly population, and innovatively propose a hybrid interaction scheme combining voice recognition and gesture recognition. Through the systematic optimization of interface layout, operation flow and interaction mode, the natural interaction between the elderly and intelligent devices is realized. Three major application scenarios, namely, health monitoring, remote care and intelligent socialization, have been researched and developed, and verified in actual community environments. Practice shows that the scheme significantly improves the usability and user experience of smart elderly services, and provides new ideas for the innovative application of digital media interaction technology in the field of smart elderly.

KEYWORDS

Digital Media Interaction; Multimodal Interaction; Smart Aging; Interaction Design; User Experience

CITE THIS PAPER

Di He, Digital Media Interaction Technology in Smart Elderly Scenarios: An Application Study. Advances in Computer, Signals and Systems (2025) Vol. 9: 33-39. DOI: http://dx.doi.org/10.23977/acss.2025.090304.

REFERENCES

[1] Hao Z , Tran J Y , Bat B K ,et al. Rhythmic musical intervention improves response time of memory tests: A pilot study on the application of a digital cognitive assessment:[J].DIGITAL HEALTH, 2024, 10:84-772.
[2] Zhang Y , Siow C Z , Dou W ,et al. Environment-Integrated Adaptive Cognitive Training System Based on Augmented Reality and Intelligence[C]//International Symposium on Computational Intelligence and Industrial Applications. Springer, Singapore, 2025.
[3] Ianculescu M , Alexandru A , Paraschiv E A .The Potential of the Remote Monitoring Digital Solutions to Sustain the Mental and Emotional Health of the Elderly during and Post COVID-19 Crisis in Romania[J].Healthcare (Basel, Switzerland), 2023, 11(4):32.
[4] Sankaran S .How Socially Sustainable Is the Institutional Care Environment in China: A Content Analysis of Media Reporting[J].Buildings, 2024, 14.
[5] Huang M , Ye Y ."A Matter of Life and Death": Mitigating the Gray Digital Divide in Using Health Information Technologies in the Post-Pandemic Era[J].Health communication, 2025(1/4):40.
[6] Oliveira Fragelli, Thaís Branquinho,Campêlo de Oliveira, Junior Arthur, Pedra Machado V ,et al. Desafios do design da informao para incluso digital de idosos na perspectiva da literacia em saúde: uma reviso de escopo[J].InfoDesign: Revista Brasileira de Design da Informação, 2024, 21(2).
[7] Fu S, Qin D, Amariucai G, Qiao D, Guan Y, Smiley A. Artificial intelligence meets kinesthetic intelligence: Mouse-based user authentication based on hybrid human-machine learning[C]//Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security. 2022: 1034-1048.
[8] Yang C. Text growing on leaf[J]. IEEE Transactions on Multimedia, 2023, 25: 9029-9043.
[9] Xie S, Du S, Huang Y, et al. Evolution and effectiveness of bilateral and multilateral development assistance for health: a mixed-methods review of trends and strategic shifts (1990–2022)[J]. BMJ Global Health, 2025, 10(1).
[10] Li M, Sui H. Causal Recommendation via Machine Unlearning with a Few Unbiased Data[C]//AAAI 2025 Workshop on Artificial Intelligence with Causal Techniques. 2025.

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