A Study on Acceptability of AI Assistant for Delivering Student Services in Private Universities of Delhi/NCR: A Study Based on the Utaut Model

Abstract

This study examines how students, faculty, and staff in private universities across Delhi/NCR accept AI assistants for support services, using the UTAUT model framework. The research analyses various effects that influence students' willingness to adopt AI chatbots, including their hopes of performance, ease of use, social influences, and trust considerations. Through quantitative analysis using EFA and SEM techniques, the study presents several key findings. The results indicate that students' aim to use AI chatbots is mainly driven by three factors: their belief in the system's performance benefits, trust in its security and accuracy, and influence from peers. Notably, trust emerged as the intense predictor of adoption intention. Contrary to expectations, the ease of using chatbots and availability of supporting infrastructure did not significantly impact adoption decisions.