# Exploring Digital Technologies for Addressing Risk Factors of Solitary Death in South Korea
## 4 Research Results
### CONCOR Analysis  
As a result of exploring digital technologies for preventing lonely deaths through structural equivalence, eight key areas were identified, as shown in Figure 3 and Table 13: data and communication, advanced monitoring, smart environmental control, remote control, multimedia, AI, extended reality (XR), and learning-type surveillance.  
Figure 3: CONCOR analysis of digital technology patents for solitary death prevention.  
Figure 2: Centrality analysis of digital technology patents for solitary death prevention.  
First, data and communication, which is a core technology for solitary death prevention, such as data collection through wearable devices and sensors and remote data transmission technology based on applications, the cloud, and wireless networks, were derived. This group was named data and communication. As the largest group, it is impor  
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Cluster** & **Images per Cluster** & **Cluster Name** & **Keywords** \\ \hline
1 & & & Communication, Data, \\  & & & Sensing, Terminal, Cloud, \\  & & & Wireless, System, Internet, \\  & & Remote, Application, Radio \\  & & & Wave, Wearable \\ \hline
2 & & & Monitoring, Bio, Radar, \\  & & & Noncontact, UWB, Metaverse, \\  & & & Vibration \\ \hline
3 &  
tant as it enables a swift response to the risk of solitary death by analyzing information and patterns of vulnerable groups in real time and sharing bi-directional data.  
Second, advanced monitoring technology is utilized to remotely monitor the health status of users to respond appropriately to dangerous situations. Monitoring, biosensing, noncontact sensing, and ultra-wideband (UWB) enable more accurate and sensitive identification of users' status, while the metaverse improves the experience of users with limited mobility. Therefore, the group was named advanced monitoring.  
Third, technologies were developed to maintain sufficient lighting and appropriate temperature through lamps, light-emitting diodes (LEDs), and infrared light sensors, and to actively respond to dangerous situations while monitoring users' activities via gateways and IoT-based sensors. This is called smart environmental control, which automatically controls and optimizes the living environment. This technology is expected to improve the quality and safety of residential environments for users with limited mobility and the elderly.  
Fourth, remote control technology was developed to easily control lighting, heating, and security systems in residential spaces through remote control, radio frequency, microphones, and advanced metering infrastructure. These technologies enable users with limited mobility to have independence and convenience in their daily lives.  
Fifth, the multimedia group encompasses multimedia such as images, speakers, and voices. This contributes to making users' lives safer and more comfortable, less isolated, and more socially connected. Drones, robots, and the Global Positioning System (GPS) are relatively new types of interface technologies expected to provide users with convenient and immediate responses through interactions.  
Sixth, AI technology was applied to learn the energy patterns in residential areas and daily behavior patterns of users and automatically detect abnormal situations via AI algorithms and pattern analysis technology. Additionally, it is possible to alleviate loneliness and provide emotional support through AI-based platforms and chatbots.  
Seventh, there was an active development of XR technologies that enable users to engage in real-life interactions and social connections for lower isolation. Such XR technology is expected to facilitate non-face-to-face communication, such as video chats or the sharing of residential spaces in virtual environments.  
Eighth, CCTV systems using deep learning algorithms have been developed to learn user behavior patterns and send immediate notifications to prevent dangerous situations when abnormal behavior is detected.