Abstract
The work aims to comb the application status of implicit human-computer interaction in the field of smart care for the elderly, and analyze its characteristics and development prospects. The research status of interaction design of wisdom pension was combed and the physiological and psychological characteristics of the elderly and the basis of implicit interaction theory were analyzed. Then, the characteristics of implicit interaction application in the field of wisdom pension are summarized, including many key operations involved, long-term monitoring and real-time automatic collection of personal data, third-party intervention and interaction, system platform construction and social participation. The future development direction of implicit interaction in the field of smart care for the aged is inferred as follows: based on the internet of things, big data and artificial intelligence, implicit interaction is the core part to satisfy user-oriented design. It can be achieved through biosensing, environmental recognition and so on.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Statistics, N.B.o.: National economic and social development statistics bulletin of the people’s Republic of China in 2019 (2020)
Li, D.: Prospects for the development of smart wearable devices in the smart pension system. Mod. Inf. Tech. 3, 145–146 (2019). (Chinese)
Li, Z.: The Drafting Group of General Report, The General Research Report of Chinese Strategic for Dealing with Population Aging. Scientific Research on Aging, pp. 6–40 (2015). (Chinese)
Zhang, Y., Song, X.: Research on the Application and Countermeasures of Information Technology in the Aged Service Industry vol. 000, pp. 170–174 (2015). (Chinese)
Li, B., Sun, X.: Analysis of the status quo of “internet +” home wisdom support in China. J. Hyg. Soft Sci. 33, 10–13 (2019). (Chinese)
Xi, H., Ren, X., Yan, S.: Smart Care for the Aged: Innovative Old-age Services with Information Technology, pp. 12–20 (2014). (Chinese)
Ministry of Industry and Information Technology, Ministry of Civil Affairs, National Health Commission: Action plan for the development of Aged smart care industry (2017–2020), p. 62 (2017). (Chinese)
Mu, G.: Quality pension: the new pursuit of the new generation of urban elderly. People’s Tribune 13 (2019). (Chinese)
Zhang, P., Ding, X.: Research on interaction design of old wisdom products under compensation mechanism. J. Graph. 39, 700–705 (2018). (Chinese)
Moon, M.K., Kim, S.C.: Usability evaluation of movement support service robot for elderly. In: Soares, M., Falcão, C., Ahram, T. (eds.) Advances in Ergonomics Modeling, Usability and Special Populations. Advances in Intelligent Systems and Computing, vol. 486. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-41685-4_46
Li, X., Gong, L.: Research on the Design of Intelligent Product Service for the Elderly from the Perspective of Mobile Internet, vol. 37, pp. 57–60 (2016). (Chinese)
Di, Y., Yan, W.: Research on interactive product design based on the. nostalgic tendency of the elderly. Theatre House 314, 143–145 (2019). (Chinese)
Li, M., Ding, M., Yuan, M.: Research on interaction design of wisdom aged service robot based on unconscious behavior. Art Sci. Tech. 031, 74 (2018). (Chinese)
Ye, X., Tao, L., Wang, G.: Implicit interaction based on action understanding. In: National Joint Conference on Human-Computer Interaction (2011). (Chinese)
Qu, F., Guo, W.: Study on the intelligent pension model under the visual threshold of “Internet of Things + Big Data”. J. Inf. Resour. Manage. 51–57 (2017). (Chinese)
Liu, W.: Research on the Design of Wearable Devices Based on Aging Society. Beijing University of Posts and Telecommunications (2016). (Chinese)
Malwade, S., et al.: Mobile and wearable technologies in healthcare for the ageing population. Comput. Methods Programs Biomed. 161, 233–237 (2018)
Kaiyan, N.: Exploratory study of implicit theories in human computer interaction. In: Australian Conference on Computer-human Interaction (1996)
Ju, W., Leifer, L.: The design of implicit interactions: making interactive systems less obnoxious. Des. Issues 24, 72–84 (2014)
Fu W., Zhao, J., Tan, H.: Revelation of interaction design based on. subconsciousness and behavioral habits. Packag. Eng. 034, 50–52, 82 (2013). (Chinese)
van Laerhoven, K., Mayer, S., Schneegass, S., Olsson, T.: Mobile interactions augmented by wearable computing: a design space and vision. Int. J. Mobile Hum. Comput. Interact. 8(4), 104–114 (2016)
Yang, L., Li, W., Duan, Y.: Implicit human-computer interaction message propagation method in industrial IoT environment. China Mech. Eng. 29, 463–470 (2018). (Chinese)
Fei, W., Qi, H., Zhou, X., Wang, J., Zhen, Z., Li, R.: Collaboration robotic compliance grasping based on implicit human-computer interaction. In: Proceedings of the 30th China Control and Decision Conference, issue 5 (2018)
Hou, W., Chen, T.: Study on the Development and Realization Path of Smart old-age Service industry. Mod. Manage. Sci. (2019). (Chinese)
Hentschel, M.A., Haaksma, M.L., van de Belt, T.H.: Wearable technology for the elderly: Underutilized solutions. Eur. Geriatr. Med. 5(7), 399–401 (2016)
Institute for International Socio-Economic Studies, I.f.I.S.-E.: Research report about the health for which AI IoT was utilized and innovation of medical treatment and the nursing field. R:123 (2018)
Wan, R.: Analysis of the design of digital medical service products for elderly users based on usability. Popular Lit. 000, 87–88 (2011). (Chinese)
Yao, X., Hu, R., Yang, W.: Research on functional level of wearable equipment for the elderly based on user needs. Packag. Eng. 39, 171–177 (2018). (Chinese)
Kai, E., Strenge, B., Schack, T.: ADAMAAS: towards smart glasses for mobile and personalized action assistance. In: the 9th ACM International Conference (Year)
DFree.: Product Introduction. [EB/OL] 2018, 2019–2015–2030 (2019). https://dfree.biz/product.html
Wang, G., Tao, L.: Distributed vision system supporting implicit human-computer interaction. J. Image Graph. 1133–1138 (2010). (Chinese)
Acknowledgments
This study was funded by Humanities and Social Science Research Youth Fund Project of Ministry of Education (19YJC760044).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Ling, Y., Liu, M., He, R. (2021). Application Status and Prospects of Implicit Interaction in the Field of Smart Care for the Elderly. In: Rebelo, F. (eds) Advances in Ergonomics in Design. AHFE 2021. Lecture Notes in Networks and Systems, vol 261. Springer, Cham. https://doi.org/10.1007/978-3-030-79760-7_33
Download citation
DOI: https://doi.org/10.1007/978-3-030-79760-7_33
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-79759-1
Online ISBN: 978-3-030-79760-7
eBook Packages: EngineeringEngineering (R0)