关键词: Artificial intelligence chatbot older adults technology acceptance model

Mesh : Humans Aged Cross-Sectional Studies Female Male Attitude to Computers Aged, 80 and over Surveys and Questionnaires

来  源:   DOI:10.3233/SHTI240160

Abstract:
This study investigates the acceptance of large language models (LLMs) among older adults using the Technology Acceptance Model (TAM). The research, conducted through a cross-sectional survey, explores the influence of perceived ease of use and perceived usefulness on intension to use among older adults. The results show that the subjective norm, image, job relevance, output quality, result demonstrability, perceived ease of use have a significant positive and direct impact on perceived usefulness (β=0.138, 0.240, 0.213, 0.280, 0.181, 0.176, P<0.05). Perceived ease of use and perceived usefulness have a significant positive and direct impact on Intension to use (β=0.335, 0.307, P<0.05). The study\'s practical implications highlight the need for tailored chatbots, offering valuable insights for developers and policymakers aiming to enhance the integration of innovative technologies among older populations.
摘要:
本研究使用技术接受模型(TAM)调查了老年人对大型语言模型(LLM)的接受情况。这项研究,通过横断面调查,探讨了感知易用性和感知有用性对老年人使用意图的影响。结果表明,主观规范,image,工作相关性,输出质量,结果可证明性,感知易用性对感知有用性有显著的正向直接影响(β=0.138、0.240、0.213、0.280、0.181、0.176,P<0.05)。感知易用性和感知有用性对使用意愿有显著的正向直接影响(β=0.335,0.307,P<0.05)。这项研究的实际含义凸显了对量身定制的聊天机器人的需求,为开发人员和政策制定者提供有价值的见解,旨在加强老年人群之间创新技术的整合。
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