ACIS 2024 Proceedings

Abstract

Following the rapid growth of General Artificial Intelligence (GAI), significant research has focused on the acceptance and use of intelligent systems, especially those enabled by GAI. However, fatigue and reduced use (even discontinuance) have received less attention despite their increasing recognition among researchers and practitioners. This fatigue, often attributed to the overwhelming influx of information and rapid advancements in artificial intelligence systems, leads many users to initially embrace these systems enthusiastically but later experience fatigue and discontinue use. Our multi-wave study examines the cross-temporal use of intelligent system by analyzing gratifications—utilitarian, hedonic, social, and technological. Our findings confirm that while initial gratification from intelligent systems is high across all types, its sustainability varies significantly depending on the nature of gratifications. This research thus provides a timely investigation, highlighting the role of individual differences in intelligence system use and calling for personalized, human-centric strategies for collaboration in business process design.

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