Artificial intelligence in academic libraries: a survey of users’ perception and adoption

Abstract

Purpose The purpose of this paper is to present the results of a survey-based study that explores the perceptions of academic library users regarding artificial intelligence (AI) in libraries. Design/methodology/approach Drawing from a previously published work, this study used a modified questionnaire containing 15 questions to gauge user perspectives on AI. The survey was distributed to academic library patrons in India through numerous digital channels. After analyzing 383 responses, the researchers used inferential statistical methods, including ANOVA and Chi-Square tests, to examine relationships between factors such as gender, age, education and knowledge of AI concepts, trends and optimism about AI. Findings Descriptive findings revealed demographic information, while statistical analyses found no significant gender- or age-based differences in perceptions of AI. However, education levels influenced AI knowledge levels. This study also explored concerns and desires related to AI in libraries. Practical implications This research provides valuable insights into academic library users’ views on AI and its potential roles in enhancing library services. Originality/value This paper contributes to the evolving field of AI in libraries by shedding light on user perspectives and identifying factors that influence these perceptions.

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