Abstract
Purpose: The purpose of this study were to analyze the user-centered usage status of ICT-based artificial intelligence care services for establishing a safety net for the vulnerable and to suggest a policy direction for improving the service. Method: This study targeted 400 people using ICT-based artificial intelligence care services to build a safety net for the vulnerable. in N-gun, Gyeongsangnam-do. Analyzed the types of services used, main utterances, emotional conversations, and emergency SOS usage status for three months from May to August 2024 using SPSS statistical software. Result: Among the study subjects, there were 352 women (88.0%) and 48 men (12.0%). The service most used by users was the Sosiktoktok, followed by emotional conversations, music healing, weather, fortune telling, radio, and mood. In addition, the number of uses per subject over 3 months was 249.10, and the number of uses per person by gender was higher for men (406.71 times) than for women (239.16 times), and the number of uses was higher for the elderly over 70 years old. The most common user utterance was weather search, followed by thank you, hello, and I heard. The most common keyword for emotional conversation was happiness, followed by loneliness, depression, and psychological stability. The emergency SOS service was used 17 times in total. This study found that vulnerable groups use emotional care most among ICT-based AI care services, and men use AI care services more frequently than women, and the elderly over 70 years old use AI care services more frequently. Conclusion: Based on the results of this study, it is suggested that ICT-based AI care services in the future expand emotional support services according to the needs of users, utilize AI devices in the form of animals or humans rather than speakers so that the vulnerable class can feel familiar with AI care media, and simplify services so that the elderly over 70 years of age can easily use them.
Published Version
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