Consultation Services Using IVR Telephony Based on Expert System Perspective (original) (raw)

An Online Expert System for Consultation Services Using a Mobile Application Interface

Jurnal Teknologi, 2016

An expert system service that deals with public problems or wide ranges of users basically requires an alternative medium, which is accessible. This paper proposes interface expansion for Web and WAP based expert system consulting application using an Android application interface. An open and accessible web service is developed to provide an access to the Android application to reach the knowledge base in the form of a decision tree stored in a particular database. The Android application employs HTTP for accessing data in a JSON format through web service. Then, the consultation mechanism would run interactively following an available path in the decision tree model from initial symptom identification to reach a conclusion.

IJERT-AIVIES: An Artificially Intelligent Voice Interactive Enquiry System

International Journal of Engineering Research and Technology (IJERT), 2014

https://www.ijert.org/aivies-an-artificially-intelligent-voice-interactive-enquiry-system https://www.ijert.org/research/aivies-an-artificially-intelligent-voice-interactive-enquiry-system-IJERTV3IS042131.pdf AIVIES is a voice interactive enquiry system, intended to aid the user with specific enquiries regarding travel and locating various eateries. The system aims to emulate regular conversation and interact with the user via speech recognition and synthesis. The task of enquiry is essentially concerned with human interaction and this system automates that process, thereby rendering the presence of a human as void. With the tremendous growth in natural language processing techniques, it has become a reality to implement speech recognition and synthesis, programmatically. Much like how existing systems provide response to mouse or keyboard inputs, this system responds entirely to voice. The system is an artificially intelligent, simple reflex agent and triggers specific events on the basis of the speech interpreted.

Design Of Context-Aware Interactive Voice Response System

2015

Interactive Voice Response (IVR) is an automated telephony system that answers most of the customers’ inquiries. An IVR system can handle 20% to 60% of the calls regarding common queries. Most of the IVR systems used today are content-based IVR systems. Hence they do not provide quality service to the customers because the information is directly fetched from the database and presented to the users and also the IVR systems use APIs that are in-built in the system and hence dependent on the system. In this paper we are proposing a Context-Aware Interactive Voice Response System that generates a dialogue based on the context, meaning based on the user’s requirements the IVR menu is dynamically generated. Unlike the traditional IVR systems, it is a service-based IVR, meaning all the operations in the IVR system are implemented as web services. Also, the IVR system is implemented as a Finite State Machine (FSM). The request of a user by the IVR system is processed in stages (the number ...

AIVIES: An Artificially Intelligent Voice Interactive Enquiry System

2014

AIVIES is a voice interactive enquiry system, intended to aid the user with specific enquiries regarding travel and locating various eateries. The system aims to emulate regular conversation and interact with the user via speech recognition and synthesis. The task of enquiry is essentially concerned with human interaction and this system automates that process, thereby rendering the presence of a human as void. With the tremendous growth in natural language processing techniques, it has become a reality to implement speech recognition and synthesis, programmatically. Much like how existing systems provide response to mouse or keyboard inputs, this system responds entirely to voice. The system is an artificially intelligent, simple reflex agent and triggers specific events on the basis of the speech interpreted.

Dynamic interactive voice response (IVR) platform

Eurocon 2013, 2013

Interactive Voice Response (IVR) systems can handle up to 60% of the incoming calls in the call center. Since it promotes self-serving and decreases the number of the agents in the call center, it may lead to improved customer and call center agent satisfaction, increased revenue, and reduced cost. One bottleneck of IVR is that; dynamic nature of services provided by the companies and the needs of various customers necessitate experienced programmers to made changes to IVR, add new modules, scenarios etc. Keeping up with this dynamic environment comes with cost of time and money. In order to prevent this, we have developed a dynamic interactive voice response platform. Proposed system can be used in call centers and enable all kinds of IVR scenarios to be designed, changed, reported, inspected and managed by nonprogrammers. With its dynamic nature, IVR scenarios can be implemented easily, without affecting the underlying computer programming.

Interavtive Voice Response System

The Interactive Voice Response (IVR) System serves as a bridge between people and computer databases. The IVR system uses prerecorded or computer generated voice responses to provide information in response to an input from a user. Interactive Voice Response (IVR) is system application that prompts parents with voice messages and options and processes input selections from the menus. The IVR script responds to the input by providing appropriate information in the form of voice answer. Interactive Voice Response, or IVR system, runs on computers. IVR is usually part of a larger application that includes database access. An IVR application provides prerecorded voice responses for appropriate situations, input signal logic, and access to relevant data. The software converts the data into a voice format and provides voice response. The voice response by the system is then heard by the user. Today's busy parents are sometimes not able to to attend parents- teacher meetings due to their busy schedule. So parents are not aware about their wards attendance and marks. To overcome this problem college needs software, this can provide information to parents whenever they require. In order to evaluate this project, the methodology is based on generally the various modules required. C# Dotnet is used for designing the front end and MS Access is used for the back end.

An Experimental Comparison of Speech and DTMF for VoiceXML-Based Expert Systems

Comparisons of DTMF and speech modalities for interacting with diverse dialogue systems for different tasks, among different user populations have led to different design recommendations for different user populations. This paper reports the results of the experimental comparison of these input modalities in a new context of VoiceXML-based diseases diagnosis expert system among a new user population-Nigerians. The results show that DTMF was more satisfying than speech for system satisfaction. Modality wise, speech was more satisfying than DTMF. Speech was also more natural than DTMF. DTMF was preferred by the majority and was more effective and efficient than speech. For diseases diagnosis expert health dialogue systems in Nigeria, DTMF is recommended for effectiveness and efficiency. It is also recommended for satisfaction. Speech is recommended for modality satisfaction while both modalities are recommended for entertainment purpose. Speech is advocated for modality naturalness. However, a platform that incorporates the two modalities will provide the benefits of the two, and allow the users varieties of choices that best suit their needs.

Spoken dialogue technology - enabling the conversational user interface

2004

Spoken dialogue systems allow users to interact with computer-based applications such as databases and expert systems by using natural spoken language. The origins of spoken dialogue systems can be traced back to Artificial Intelligence research in the 1950s concerned with developing conversational interfaces. However, it is only within the last decade or so, with major advances in speech technology, that large-scale working systems have been developed and, in some cases, introduced into commercial environments. As a result many major telecommunications and software companies have become aware of the potential for spoken dialogue technology to provide solutions in newly developing areas such as computer-telephony integration. Voice portals, which provide a speech-based interface between a telephone user and Web-based services, are the most recent application of spoken dialogue technology. This article describes the main components of the technology-speech recognition, language understanding, dialogue management, communication with an external source such as a database, language generation, speech synthesis-and shows how these component technologies can be integrated into a spoken dialogue system. The article describes in detail the methods that have been adopted in some well-known dialogue systems, explores different system architectures, considers issues of specification, design, and evaluation, reviews some currently available dialogue development toolkits, and outlines prospects for future development.