Users Perception and Experience on Intelligent Conversational and Smart Assistance System: A Comparative Study

Abstract

This study explores the dynamic progress of artificial intelligence (AI), specifically in conversational AI and smart assistance systems. It conducts a comprehensive comparative analysis, based on their functionalities, strengths, and limitations, aiming to enhance user experiences (UX) across diverse domains. The research entails a meticulous examination of natural language processing capabilities and user interaction mechanisms within these systems. To ensure a rigorous assessment of system functionality, strength, limitations, user’s perception and experience, quantitative analysis were carried out using advance statistical tool (SPSS) and Google Sheets. The result of the study provides a detailed understanding of the comparative strengths and weaknesses of intelligent conversational AI and smart assistance systems which revealed that in overall, the Conversational AI system is well-received by users, but there is room for improvement. Noteworthy differences emerged in their adaptability to diverse user preferences, accuracy in understanding natural language inputs, and overall user satisfaction. The study also revealed the need for improvement in understanding human emotions and ensuring data privacy in artificial intelligence implementation.