Artificial Intelligence Based Personal Assistant

Devi, Sulochana; Merchant, Zishan Arif Merchant; Siddiqui, Md. Shaqlain; Lobo, Magdina

doi:10.33130/ajct.2019v05i01.003

Cited by 5 publications

(2 citation statements)

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“…Personal virtual assistants focused on the end user are being introduced into software systems of business systems. Using personal virtual assistants in systems for automated processing of client requests allows businesses to build new user interaction scenarios, improve business metrics based on resource optimization and influence on technological, temporal, economic and behavioral factors [3]. Such possibilities of use served as a rationale for the need for algorithmic support for a personal virtual assistant.…”

Section: Introductionmentioning

confidence: 99%

Algorithmic support of a personal virtual assistant for automating the processing of client requests

Dobratulin¹,

Nezhurina²

2022

Preprint

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This article describes creating algorithmic support for the functioning of a personal virtual assistant, which allows automating the processing of customer requests. The study aims to reduce errors and processing time for a client request in business systems -text chats or voice channels using a text transcription system. The results of the development of algorithmic support and an assessment of the quality of work on synthetic data presented.

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Section: Introductionmentioning

confidence: 99%

Algorithmic support of a personal virtual assistant for automating the processing of client requests

Dobratulin¹,

Nezhurina²

2022

Preprint

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“…In terms of system architecture, IVAs represent a sort of meta-layer of intelligence that acts as a hub for apps and external services. Indeed, a generic IVA typically works in two steps: first, it understands the intent expressed by the user, then it invokes specific services that can fulfill the request [8]. The most popular IVAs are general purpose and multi-domain.…”

Section: Introductionmentioning

confidence: 99%

HealthAssistantBot: A Personal Health Assistant for the Italian Language

et al. 2020

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In this article, we present HealthAssistantBot, an intelligent virtual assistant able to talk with patients in order to understand their symptomatology, suggest doctors, and monitor treatments and health parameters. In a simple way, by exploiting a natural language-based interaction, the system allows the user to create her health profile, to describe her symptoms, to search for doctors or to simply remember a treatment to follow. Specifically, our methodology exploits machine learning techniques to process users symptoms and to automatically infer her diseases. Next, the information obtained is used by our recommendation algorithm to identify the nearest doctor who can best treat the user's condition, considering the community data. In the experimental session we evaluated our HealthAssistantBot with both an offline and online evaluation. In the first case, we assessed the performance of our internal components, while in the second one we carried out a study involving 102 subjects who interacted with the conversational agent in a daily use scenario. Results are encouraging and showed the effectiveness of the strategy in supporting the patients in taking care of their health.

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