ChatGPT across generations: understanding continued use intention of generative AI technology

Boryung Ju (Författare), J. Brenton Stewart (Författare), Sunyoung Park (Författare)

DOI 10.47989/ir31141281, Identifikator https://publicera.kb.se/ir/article/view/41281 · url

utgivning

2026
University of Borås, 2026-01-15T00:00:00+01:00

är del av

Information Research an international electronic journal · ISSN 1368-1613

31, 114-132

Bidrag, Onlineresurs

Finns online:

http://dx.doi.org/10.47989/ir31141281 https://publicera.kb.se/ir/article/view/41281

Värdpublikation Värdpublikation

ämne

Generative AI, Artificial intelligence, Older adults, ChatGPT

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Sammanfattning

Introduction. OpenAI's ChatGPT has revolutionised how people search, organise, and create information in work and daily life. This paper explores how different age groups adopt, use, and sustain their use of ChatGPT and other AI generative technologies. Method. We conducted a cross-sectional online survey of 323 U.S. users of generative AI chatbots to examine individual and collective adoption experiences. Using generational cohort theory, we explored intentions for continued use and the influence of chatbots’ conversational ability, personalisation, social influence, trust, and satisfaction across generations. Analysis. Analysis of variance (ANOVA) and multiple regression were used to analyse the collected data. Results. Trust, social influence, and personalisation significantly affected users’ intention to continue using generative AI chatbots. Significant differences across generations were observed in social influence and conversational ability. Baby Boomers exhibited the lowest levels of social influence but the highest levels of engagement with chatbots’ conversational ability. Conclusions. Baby Boomers (born 1946–1964) are an obscure but enthusiastic cohort among the users of generative AI technologies. Libraries, archives, and museums, among other institutions, should target outreach campaigns at older users, emphasising the potential of AI chatbots to assist users and improve everyday tasks.