China
Africa
Explore chapters and articles related to this topic
Solving Problems and Making Decisions
Published in Robert W. Proctor, Van Zandt Trisha, Human Factors in Simple and Complex Systems, 2018
Robert W. Proctor, Van Zandt Trisha
Recommendation systems are designed to provide users with information to assist in their decisions. In the case of Privacy Bird, this decision is whether to provide personal information to different companies. Most of you have experienced phishing attacks, in which you receive an apparently legitimate e-mail message directing you to a fraudulent website with the intent of getting you to enter personal information such as a credit card number. Recommendations to leave a suspected phishing site can be incorporated into the warnings, much as in Privacy Bird. However, for such warnings to be effective, various usability issues, such as the criteria for when to display the warning, what information should be displayed to users, how that information should be displayed, and how to encourage selection of the safe action, need to be taken into account when the warning/recommendation system is designed (Yang et al., 2017).
Blockchaining and Machine Learning
Published in Neeraj Kumar, N. Gayathri, Md. Arafatur Rahman, B. Balamurugan, Blockchain, Big Data and Machine Learning, 2020
R. Venkatesh, L. Godlin Atlas, C. Magesh kumar
As the name suggests, virtual personal assistants assist in finding useful information, when asked via text or voice. Few of the major applications of machine learning here are: Speech recognitionSpeech to text conversionNatural language processingText to speech conversion (Figure 2.18)
Personified Virtual Assistants
Published in Marcelo M. Soares, Francisco Rebelo, Tareq Z. Ahram, Handbook of Usability and User Experience, 2022
Claudia Mont'Alvão, Marcela Maués
Talking computers and voice user interfaces (VUI) have already been widely addressed in science fiction, but every day it is more common to find voice user interfaces on various devices such as desktop computers, smartphones, smartwatches, smart TVs and videogames. These interfaces have also been adopted in virtual assistants (VAs), systems that assist their users in daily functions, ranging from organizing the agenda to controlling smart objects.
Design and implementation of a VoIP PBX integrated Vietnamese virtual assistant: a case study
Published in Journal of Information and Telecommunication, 2023
Hai Son Hoang, Anh Khoa Tran, Thanh Phong Doan, Huu Khoa Tran, Ngoc Minh Duc Dang, Hoang Nam Nguyen
Integrating developing technology trends into customer care is considered an inevitable future development. The number of calling customers consistently overloads traditional PBXs, and the traditional automated handling and interaction systems typically used to control simple interactions and long calls are not very efficient (Brambilla & Molinelli, n.d.; Guzman, 2019). However, with the use of Artificial Intelligence (AI) complex queries can be resolved more quickly. A Virtual Assistant (VA) can automatically assist customers by solving frequently asked questions and customer problems according to available scenarios. In such a scenario, a VA can easily access base warehouse information and internal data to find answers for customers without consulting multiple sources.