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AI based Computational Trust Model for Intelligent Virtual Assistant

عنوان مقاله: AI based Computational Trust Model for Intelligent Virtual Assistant
شناسه ملی مقاله: JR_JIST-8-4_001
منتشر شده در October-December در سال 1399
مشخصات نویسندگان مقاله:

Babu Kumar - AIIT, Amity University Uttar Pradesh, Noida, India
Ajay Vikram Singh - AIIT, Amity University Uttar Pradesh, Noida, India
Parul Agarwal - Jamia Hamdard University, New Delhi, India

خلاصه مقاله:
The Intelligent virtual assistant (IVA) also called AI assistant or digital assistant is software developed as a product by organizations like Google, Apple, Microsoft and Amazon. Virtual assistant based on Artificial Intelligence which works and processes on natural language commands given by humans. It helps the user to work more efficiently and also saves time. It is human friendly as it works on natural language commands given by humans. Voice-controlled Intelligent Virtual Assistants (IVAs) have seen gigantic development as of late on cell phones and as independent gadgets in individuals‘ homes. The intelligent virtual assistant is very useful for illiterate and visually impaired people around the world. While research has analyzed the expected advantages and downsides of these gadgets for IVA clients, barely any investigations have exactly assessed the need of security and trust as a singular choice to use IVAs. In this proposed work, different IPA users and non-users (N=۱۰۰۰) are surveyed to understand and analyze the barriers and motivations to adopting IPAs and how users are concerned about data privacy and trust with respect to organizational compliances and social contract related to IPA data and how these concerns have affected the acceptance and use of IPAs. We have used Naïve Byes Classifier to compute trust in IVA devices and further evaluate probability of using different trusted IVA devices.

کلمات کلیدی:
Artificial Intelligence; Virtual Assistant System; Product Quality; Trust, Privacy; Security; Voice Recognition; Naïve Byes Classifier

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1546451/