A Bibliometric Analysis of Smart Home Acceptance by the Elderly (2004-2023)

Abstract

Both academia and business firmly endorse the notion that a smart home would be the solution to easing the excessive social burden associated with demographic ageing and improving older adults' quality of life by enhancing living independence while encouraging their desire to age in place. This study uses bibliometric analysis to examine the research trends on elderly people's acceptance of smart home. The results are derived from analysis using the VOSviewer software on 257 documents in the Scopus database. The results reveal that: there is an accelerating growth rate for the smart home literature focusing on the elderly's acceptance since 2004; the majority of these studies are journal articles filed in the research area of computer science; the most commonly mentioned keywords include "smart home(s)" and "older adults"; the US has produced the highest number of related works; and the most cited articles are composed by authors across nations with tight collaborations.

A bibliometric analysis of the advance of artificial intelligence in medicine

“…On the other hand, Figure 3 illustrates the co-authorship network by country, where the size of the nodes increases as more articles are disseminated in a given country. Similarly, the connections between the nodes reflect the close collaboration between two countries, with wider lines indicating more intense collaboration [22]. The analysis of the co-authorship network in AI in medicine shows an organized structure with 7 clusters and strong global collaboration, represented by 747 links and a total link strength of 1,725.…”