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Factors Influencing Seniors' Behavioral Intention of Generative AI Services

시니어의 생성형AI 서비스 이용의도에 영향을 미치는 요인

  • Sung, Myoung-cheol (Hoseo University Graduate School of Venture) ;
  • Dong, Hak-rim (Hoseo University)
  • 성명철 (호서대학교 벤처대학원) ;
  • 동학림 (호서대학교 벤처대학원)
  • Received : 2024.06.14
  • Accepted : 2024.06.20
  • Published : 2024.06.30

Abstract

Recently, generative AI services, including ChatGPT, have garnered significant attention. These services appealed not only to digital natives, such as Generation Z, but also to digital immigrants, including seniors. This study aimed to analyze the factors affecting seniors' behavioral intention of generative AI services. A survey targeting seniors was conducted, resulting in 250 valid responses. The data were analyzed using multiple regression analysis. For this purpose, performance expectancy, effort expectancy, social influence, requisite knowledge, biophysical aging restrictions of seniors based on MATOA (Model for the Adoption of Technology by Older Adults), a research model on technology acceptance by seniors and AI hallucinations of generative AI services were set as independent variables. The empirical results were as follows: performance expectancy and social influence had a significant positive impact on seniors' behavioral intention of generative AI services. Additionally, requisite knowledge positively influenced seniors' behavioral intention of generative AI services, while biophysical aging restrictions had a significant negative effect. However, effort expectancy and AI hallucinations did not show a significant influence on seniors' behavioral intention of generative AI services. The variables were ranked by influence as follows: performance expectancy, social influence, requisite knowledge, and biophysical aging restrictions. Based on these research results, academic and practical implications were presented.

최근들어 ChaGPT를 비롯한 생성형AI서비스가 화두가 되고 있다. 디지털 네이티브인 Z세대 뿐만 아니라 디지털 이민자인 시니어들도 관심을 가지고 있는 서비스이다. 이러한 시점에서 시니어를 대상으로 생성형AI 서비스 이용의도에 영향을 미치는 요인에 대해 실증분석을 하였다. 이를 위해 시니어를 대상으로 설문조사를 실시하였으며 유효한 250부를 분석에 활용하였다. 본 연구에서는 시니어의 기술수용에 관한 연구모형인 MATOA(Model for the Adoption of Technology by Older Adults)를 토대로 성과기대, 노력기대, 사회적영향, 사전지식, 시니어의 생리적노화현상 및 생성형AI서비스의 환각을 독립변수로 설정했다. 분석은 다중회귀분석방법을 사용하였다. 실증분석결과는 다음과 같다. 성과기대와 사회적영향은 시니어의 생성형AI서비스 이용의도에 유의한 정(+)의 영향을 미쳤다. 또한 사전지식은 시니어의 생성형AI 서비스 이용의도에 유의한 정(+)의 영향을 미쳤고 생리적노화현상은 유의한 부(-)의 영향을 미쳤다. 한편, 노력기대 및 AI 환각(hallucinations)이 시니어의 생성형AI 서비스 이용의도에 미치는 유의한 영향 관계는 검정되지 않았다. 영향을 미치는 변인의 영향력 순서는 성과기대, 사회적영향, 사전지식, 생리적노화현상 순이었다. 이러한 연구결과를 토대로 학술적 및 실무적 시사점을 제시하였다.

Keywords

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