Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Barriers and Risks in BIM-Embedded Design Collaboration: A Two-Mode Social Network Analysis Kapitel lesen Erstes Kapitel lesen

2022 | OriginalPaper | Buchkapitel

A Critical Review of Interaction Design Between Smart Home Devices and the Elderly

verfasst von : Yifei Liang, Lirong Quan, Chuan Yang, Longhui Liao

Erschienen in: Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate

Verlag: Springer Nature Singapore

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Smart home technologies are increasingly mature, which can achieve multiple functions such as real-time health monitoring, household device management, and hazardous events detection based on smart home systems. Smart home systems can provide the elderly in the aging society with promising solutions to maintain independence and quality of life. However, a comprehensive review of the interaction design between smart home devices and the elderly appears to be unavailable. This study aims to address this gap by systematically reviewing 107 relevant peer-reviewed journal papers published from 2000 to 2021. These papers were analyzed in terms of contributing journals and institutions, citations, keyword co-occurrence, keyword burst detection, and keyword term cluster using a scientometric approach. Results and discussion of this study uncover potential means of human-machine interaction design between smart home devices and the elderly and identify research trends for academics and practitioners in their future research and practice.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel A Review of Application of Sensing Technology in Structural Health Monitoring for Civil Infrastructure
Nächstes Kapitel Critical Indicators for Evaluating the Sustainability of Recycled Aggregated Concrete Industry: An Analysis from Stakeholders’ Perspective
Literatur
1.
United Nations.  World population prospects 2019: highlights, Department of Economic and Social Affairs, Population Division (2019)
2.
3.
Byrne, C.A., O’Grady, M., Collier, R., O’Hare, G.M.: An evaluation of graphical formats for the summary of activities of daily living (ADLs).  Healthcare 8(3), 194 (2020)CrossRef
4.
Riboni, D., Bettini, C., Civitarese, G., Janjua, Z.H., Helaoui, R.: Smart FABER: recognizing fine-grained abnormal behaviors for early detection of mild cognitive impairment. Artif. Intell. Med. 67, 57–74 (2016)CrossRef
5.
Pigini, L., et al.: Pilot test of a new personal health system integrating environmental and wearable sensors for telemonitoring and care of elderly people at home (SMARTA project). Gerontology 63(3), 281–286 (2017)CrossRef
6.
Cho, M.E., Kim, M.J.: Characterizing the interaction design in healthy smart home devices for the elderly. Indoor  Built Environ. 23(1), 141–149 (2014)CrossRef
7.
Dasios, A., Gavalas, D., Pantziou, G., Konstantopoulos, C.: Hands-on experiences in deploying cost-effective ambient-assisted living systems. Sensors 15(6), 14487–14512 (2015)CrossRef
8.
Gao, Q., Zhao, X., Yu, X., Song, Y., Wang, Z.: Controlling of smart home system based on brain-computer interface. Technol. Health Care 26(5), 769–783 (2018)CrossRef
9.
Nataliya, K., Franck, T. B., Nicolas, B.,  Rivet, B.:  Feasibility of BCI control in a realistic smart home environment. Front. Hum. Neurosci. 10, 416 (2016)
10.
Farahani, B., Firouzi, F., Chang, V., Badaroglu, M., Constant, N., Mankodiya, K.: Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare. Futur. Gener. Comput. Syst. 78, 659–676 (2018)CrossRef
11.
Cannan, J.,  Hu, H.:  Human-machine interaction (HMI): A survey, University of Essex (2011)
12.
Lee, H.E., Kim, Y., Park, K.H.,  Bien, Z.Z.:  Development of a steward robot for human-friendly interaction. In: 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, pp. 551–556,  October 2006 
13.
Birkle, C., Pendlebury, D.A., Schnell, J., Adams, J.: Web of Science as a data source for research on scientific and scholarly activity. Quantit. Sci. Stud. 1(1), 363–376 (2020)CrossRef
14.
Börner, K.: Mapping science. Sci. Technol. 54(5), 447–461 (2009)
15.
Portet, F., Vacher, M., Golanski, C., Roux, C., Meillon, B.: Design and evaluation of a smart home voice interface for the elderly: acceptability and objection aspects. Pers. Ubiquit. Comput. 17(1), 127–144 (2013)CrossRef
16.
Rafferty, J., Nugent, C.D., Liu, J., Chen, L.: From activity recognition to intention recognition for assisted living within smart homes. IEEE Trans. Hum. Mach. Syst. 47(3), 368–379 (2017)CrossRef
17.
Hook, P.A.,  Börner, K.:  Educational knowledge domain visualizations: tools to navigate, understand, and internalize the structure of scholarly knowledge and expertise. In: New directions in cognitive information retrieval, pp. 187–208 (2005)
18.
Zhang, B., Rau, P.L.P., Salvendy, G.: Design and evaluation of smart home user interface: effects of age, tasks and intelligence level. Behav. Inf. Technol. 28(3), 239–249 (2009)CrossRef
19.
Zhou, F., Jiao, J.R., Chen, S., Zhang, D.: A case-driven ambient intelligence system for elderly in-home assistance applications.  IEEE Trans. Syst. Man Cybern. Part C (Appli. Rev.) 41(2), 179–189 (2010)CrossRef
20.
Chen, C.: The citespace manual. College  Comput. Inform. 1, 1–84 (2014)
21.
Kaufman, L., & Rousseeuw, P. J. (2009). Finding groups in data: an introduction to cluster analysis (Vol. 344), John Wiley & Sons
22.
Mokhtari, M., Aloulou, H., Tiberghien, T., Biswas, J., Racoceanu, D., Yap, P.: New trends to support independence in persons with mild dementia–a mini-review. Gerontology 58(6), 554–563 (2012)CrossRef
23.
Chang, R.C.S., Lu, H.P., Yang, P.: Stereotypes or golden rules? exploring likable voice traits of social robots as active aging companions for tech-savvy baby boomers in Taiwan. Comput. Hum. Behav. 84, 194–210 (2018)CrossRef
24.
Bock, C., et al.: Engaging older adults in the visualization of sensor data facilitated by an open platform for connected devices. Technol. Health Care 24(4), 541–550 (2016)CrossRef
25.
Costa, Â., Castillo, J.C., Novais, P., Fernández-Caballero, A., Simoes, R.: Sensor-driven agenda for intelligent home care of the elderly. Expert Syst. Appl. 39(15), 12192–12204 (2012)CrossRef
26.
Belley, C., Gaboury, S., Bouchard, B., Bouzouane, A.: An efficient and inexpensive method for activity recognition within a smart home based on load signatures of appliances. Pervasive Mob. Comput. 12, 58–78 (2014)CrossRef
27.
Riboni, D., Bettini, C., Civitarese, G., Janjua, Z.H.,  Bulgari, V.:  From lab to life: Fine-grained behavior monitoring in the elderly's home. In: 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), pp. 342–347, March 2015
28.
Brdiczka, O., Langet, M., Maisonnasse, J., Crowley, J.L.: Detecting human behavior models from multimodal observation in a smart home. IEEE Trans. Autom. Sci. Eng. 6(4), 588–597 (2008)CrossRef
29.
Ranieri, C.M., MacLeod, S., Dragone, M., Vargas, P.A., Romero, R.A.F.: Activity Recognition for Ambient Assisted Living with Videos. Inertial Units and Ambient Sensors, Sensors 21(3), 768 (2021)
30.
Jafri, S.R.A., et al.: Wireless brain computer interface for smart home and medical system. Wireless Pers. Commun. 106(4), 2163–2177 (2019)CrossRef
31.
Mengoni, M., Raponi, D., Ceccacci, S.: A method to identify VR-based set-up to foster elderly in design evaluation. International Journal of Intelligent Engineering Informatics 4(1), 46–70 (2016)CrossRef
32.
Połap, D.: Human-machine interaction in intelligent technologies using the augmented reality. Information Technology and Control 47(4), 691–703 (2018)CrossRef
33.
Curumsing, M.K., Fernando, N., Abdelrazek, M., Vasa, R., Mouzakis, K., Grundy, J.: Emotion-oriented requirements engineering: A case study in developing a smart home system for the elderly. J. Syst. Softw. 147, 215–229 (2019)CrossRef
34.
Chandramohan, J., Nagarajan, R., Satheeshkumar, K., Ajithkumar, N., Gopinath, P.A., Ranjithkumar, S.: Intelligent smart home automation and security system using Arduino and Wi-fi. International Journal of Engineering And Computer Science (IJECS) 6(3), 20694–20698 (2017)
Metadaten
Titel
A Critical Review of Interaction Design Between Smart Home Devices and the Elderly
verfasst von
Yifei Liang
Lirong Quan
Chuan Yang
Longhui Liao
Copyright-Jahr
2022
Verlag
Springer Nature Singapore
Buch
Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate

Print ISBN: 978-981-19-5255-5

Electronic ISBN: 978-981-19-5256-2

Copyright-Jahr: 2022

DOI
https://doi.org/10.1007/978-981-19-5256-2_81