Technology Acceptance and Service Experience of Elderly Users with AI Translation Tools

Abstract

With advancements in artificial intelligence (AI), AI-assisted translation tools have become vital for daily communication. However, elderly users often face various challenges and obstacles when adopting these technologies. Using the Technology Acceptance Model (TAM) and Service-Dominant Logic (SDL), this study delves into the behaviors and experiences of elderly users engaging with AI translation tools. Based on interviews with multiple elderly participants, the findings reveal that their acceptance of new technologies depends not only on ease of use and functionality but also on factors like service experience, emotional support, and social networks. The study highlights that simplifying interface design, improving translation accuracy, and providing personalized training and service support are key to enhancing technology acceptance among the elderly. Theoretically, this study extends the application of TAM and SDL, while practically, it offers actionable recommendations for the design and promotion of AI translation tools.