Smart Home Personal Assistants: Fueled by Natural Language Processor and Blockchain Technology

Ansar, Syed Anas; Jaiswal, Kriti; Aggarwal, Shruti; Shukla, Shruti; Yadav, Jaya; Soni, Nupur

doi:10.1109/icps55917.2022.00029

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…The paper [24] investigated to the development of the voice-activated home automation system, which integrates the Artificial Intelligence, Internet of Things, Natural Language Processing, Blockchain for a cost-effective and efficient interacting with household equipment.…”

Section: міжнародний науковий журналmentioning

confidence: 99%

Overview of the Methods and Tools for Situation Identification and Decision-Making Support in the Cyberphysical System «smart House»

Hovorushchenko¹,

ALEKSOV²,

TALAPCHUK³

et al. 2022

CSIT

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The technology of a smart house is mostly understood as a system that combines a number of subsystems that provide comfortable living conditions for residents in the room and make it possible to significantly reduce energy costs. A house is called smart if it has a certain computer or control system for managing engineering equipment. "Smart House" should be designed so that all services can be integrated with each other with minimal costs (in terms of finances, time and effort), and their maintenance would be organized in an optimal way. The "Smart House" system should competently allocate resources, reduce operating costs and provide a clear control and management interface. Such an intelligent system should be able to recognize specific planned and emergency situations occurring in the home and respond to them (make decisions) in accordance with the given program. Therefore, today the urgent task is to recognize the situation and support decision-making in the "Smart House" cyber-physical system. The conducted overview of methods and tools for situation identification and decision-making support in the "Smart House" cyber-physical system showed that: in existing solutions, situation recognition occurs only for one of the groups of the system of managed housing functions or does not occur at all; existing solutions provide decision-making support for only one of the groups of the system of managed housing functions or do not provide it at all; the available solutions do not provide for the possibility of assessing the sufficiency of information for decision-making in the "Smart House" cyber-physical system. Therefore, there is a need to develop such methods and tools for situation identification and decision-making support in the "Smart House" cyber-physical system, which would: perform situation recognition for all 5 groups of the system of managed housing functions; provide the decision-making support for all 5 groups of the system of managed housing functions; perform an assessment of the sufficiency of information for making all decisions in the "Smart House" cyber-physical system, which will be the focus of the authors' further efforts.

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Section: міжнародний науковий журналmentioning

confidence: 99%

Overview of the Methods and Tools for Situation Identification and Decision-Making Support in the Cyberphysical System «smart House»

Hovorushchenko¹,

ALEKSOV²,

TALAPCHUK³

et al. 2022

CSIT

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“…They are allowing for a brand new generation of CAs, such as ChatGPT [6] and GPT-4 [7], which have demonstrated unprecedented levels of autonomy and natural language processing capabilities. These systems have the potential to transform the way humans interact with computers and machines, offering simple and intuitive interfaces for a wide range of applications, from customer service [8] to entertainment [9], personal assistance [10], healthcare [11] or education [12]. However, this rapid progress also raises important ethical concerns, particularly when it comes to vulnerable populations such as children [13].…”

Section: Introductionmentioning

confidence: 99%

Towards Children-Centred Trustworthy Conversational Agents

Escobar-Planas¹,

Charisi²,

Hupont³

et al. 2023

Chatbots - The AI-Driven Front-Line Services for Customers

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Conversational agents (CAs) have been increasingly used in various domains, including education, health and entertainment. One of the growing areas of research is the use of CAs with children. However, the development and deployment of CAs for children come with many specific challenges and ethical and social responsibility concerns. This chapter aims to review the related work on CAs and children, point out the most popular topics and identify opportunities and risks. We also present our proposal for ethical guidelines on the development of trustworthy artificial intelligence (AI), which provide a framework for the ethical design and deployment of CAs with children. The chapter highlights, among other principles, the importance of transparency and inclusivity to safeguard user rights in AI technologies. Additionally, we present the adaptation of previous AI ethical guidelines to the specific case of CAs and children, highlighting the importance of data protection and human agency. Finally, the application of ethical guidelines to the design of a conversational agent is presented, serving as an example of how these guidelines can be integrated into the development process of these systems. Ethical principles should guide the research and development of CAs for children to enhance their learning and social development.

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Investigating the Progress of Smart Grid Technologies in the Kingdom of Saudi Arabia: Emerging Trends and Challenges

Alghassab

2023

2023 6th International Conference on Contemporary Computing and Informatics (IC3I)

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Smart Home Personal Assistants: Fueled by Natural Language Processor and Blockchain Technology

Cited by 4 publications

References 15 publications

Overview of the Methods and Tools for Situation Identification and Decision-Making Support in the Cyberphysical System «smart House»

Overview of the Methods and Tools for Situation Identification and Decision-Making Support in the Cyberphysical System «smart House»

Towards Children-Centred Trustworthy Conversational Agents

Investigating the Progress of Smart Grid Technologies in the Kingdom of Saudi Arabia: Emerging Trends and Challenges

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