History and Development Tendency of Human - Computer Dialogue System

Lin, Xiaoyu; Yuan, Tommy; Lei, Gang

doi:10.1109/icaibd.2019.8836978

Cited by 2 publications

(3 citation statements)

References 26 publications

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“…When testing the specific use, the patient should be informed in advance, and cannot be installed or waiting all the time. Finally, it is necessary to test the compatibility of running dialog system under different operating systems, and test the operation of the software with other software [31] . Only in this way can we ensure that the online is normal and give users a better experience.…”

Section: User Feedback On Wearable Physiological Data Monitoring Soft...mentioning

confidence: 99%

Software technology analysis based on wearable devices

Mao

Sui

Wang

2023

Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)

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In recent years, due to the development of Internet technology, more and more people begin to connect their daily life with Internet technology. Due to its intelligence, simple operation and daily characteristics, wearable devices have gradually entered the public's vision and been accepted by the public. More and more wearable devices appear with a variety of supporting software. This thesis explores how these software use different middleware for different functions , design the UI interface to make people easy to use and use different ways to protect user privacy. To analyse the advantages and disadvantages of the existing software products of wearable devices and propose changes and improvements for future software development, firstly find out some existing wearable device software, and analyse its data processing, functions, adopted protocols, user privacy management, and other aspects. Secondly, through searching corresponding thesis and questionnaires, finds users' dissatisfaction with existing wearable devices. Finally, based on the feedback of users, the data processing, privacy protection and other functions of the existing wearable device software are summarized, and the corresponding direction for the future improvement of wearable devices is put forward.

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Section: User Feedback On Wearable Physiological Data Monitoring Soft...mentioning

confidence: 99%

Software technology analysis based on wearable devices

Mao

Sui

Wang

2023

Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)

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“…They use a series of predefined rules to generate an appropriate response. The input of rule-based chatbots is processed through a set of predefined rules [10]. Rule-based chatbots will reply only when the query matches exactly with the information stored in the knowledge base [2].…”

Section: Rule-basedmentioning

confidence: 99%

“…AI-based chatbots are smarter in the way that they refer back to previous information so that users can have a more natural conversation. It focuses on stylizing language understanding and this makes the environment feel like users are conversing with another human being [10]. Artificial Intelligence enables chatbots to produce new patterns.…”

Section: Deep Learningmentioning

confidence: 99%

Designing a Chatbot-Enabled Laptop Diagnostic Assistant

Muhamad Sapiee,

Mokhtar,

Abd Rahman

et al. 2022

JSCDM

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This paper proposes a chatbot developed with deep learning techniques to help people troubleshoot operating system errors in laptops. In today's world, people can't wait for anything and expect an immediate response when they have a question because they want their problems solved quickly and completely. The system addresses the software aspect of technical laptop issues concerning a laptop's operating system. Deep learning is used to create the chatbot because it has been shown to be more accurate in selecting its response when conversing with users. The chatbot will be integrated into Telegram, an instant messaging service, and users will be able to communicate about laptop issues via Telegram.

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History and Development Tendency of Human - Computer Dialogue System

Cited by 2 publications

References 26 publications

Software technology analysis based on wearable devices

Software technology analysis based on wearable devices

Designing a Chatbot-Enabled Laptop Diagnostic Assistant

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