Enhancing User Interaction and Adaptability Of Virtual Assistants through AI Technologies

Authors: Prof.P.S.Hase, Ms. Rashmi kumari, Ms. Kanishka Borole, Ms. Ekta Korde, Ms.Tanvi Galange

Country: India

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Abstract: Current virtual assistants, like Siri and other AI driven platforms, have undoubtedly made significant strides in enhancing user convenience and accessibility to information and services. However, they still exhibit limitations due to their reliance on predefined links between user requests and specific tasks. This rigid structure can hinder their adaptability to diverse user needs, especially in the constantly evolving landscape of digital contexts. As users increasingly expect virtual assistants to seamlessly integrate into their daily lives, these limitations become more apparent. The pressing need for a more adaptive approach to virtual assistants stems from the dynamic nature of modern technology and the evolving expectations of users. Users can interact with their virtual assistants in a more natural and conversational way. They seek the ability to issue natural language instructions or even provide demonstrations when the assistant encounters novel tasks or unfamiliar scenarios. This adaptability is crucial to ensure that virtual assistants remain relevant and valuable in a wide range of contexts, from smart homes and personal productivity to professional tasks and complex problem-solving. One promising direction in addressing this constraint is to harness advances in natural language understanding, machine learning, and artificial intelligence. By enabling virtual assistants to learn and adapt from user interactions and experiences, these systems can become more flexible, personalized, and intuitive. This adaptability will empower users to rely on their virtual assistants not only for routine tasks but also for addressing unique challenges and exploring new possibilities in the ever- expanding digital world.

Keywords: Virtual assistants, Siri, AI-driven platforms, User convenience, Natural language processing, Natural language instructions.

Paper Id: 230606

Published On: 2024-04-25

Published In: Volume 12, Issue 2, March-April 2024

Cite This: Enhancing User Interaction and Adaptability Of Virtual Assistants through AI Technologies - Prof.P.S.Hase, Ms. Rashmi kumari, Ms. Kanishka Borole, Ms. Ekta Korde, Ms.Tanvi Galange - IJIRMPS Volume 12, Issue 2, March-April 2024.

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