This study explores perceptions of artificial intelligence (AI) in the higher education workplace through innovative use of fiction writing workshops. Twenty-three participants took part in three workshops, imagining the application of AI assistants and chatbots to their roles. Key themes were identified, including perceived benefits and challenges of AI implementation, interface design implications, and factors influencing task delegation to AI. Participants envisioned AI primarily as a tool to enhance task efficiency rather than fundamentally transform job roles. This research contributes insights (...) into the desires and concerns of educational users regarding AI adoption, highlighting potential barriers such as value alignment. (shrink)

This research seeks to perform a detailed empirical examination of the variables affecting user intent to utilize chatbots for airline ticket inquiries, using the Technology Acceptance Model (TAM) as a foundation. The study introduces a thorough framework that merges crucial elements like Perceived Social Presence, Perceived Completeness, Perceived Accuracy, Perceived Convenience, and User Satisfaction with TAM’s conventional constructs of Perceived Usefulness and Behavioural Intention to Use Chatbots. The partial least squares-structural equation modelling (PLS-SEM) method was employed to empirically verify our (...) suggested model, with data collected via a survey distributed to prospective users in Saudi Arabia. From the 433 received responses, 396 valid ones were considered in the following analysis. The findings confirm that perceived usefulness and user satisfaction are key direct predictors of behavioural intention, while factors like Perceived Social Presence and Perceived Convenience have both direct and indirect significant impacts on behavioural intention to utilize chatbots for ticket consultation. Furthermore, Perceived Completeness and Perceived Accuracy were identified as significant influencers of perceived usefulness and user satisfaction. The study also confirmed that perceived waiting time significantly moderates the relationships between both perceived usefulness and behavioural intention, and perceived convenience and behavioural intention. This investigation not only furthers theoretical insights but also offers practical guidelines for creating effective chatbot services, thus providing significant contributions to theoretical and practical domains within the field. (shrink)