Design and implementation of a social chatbot system for business organization website

A chatbot is defined as follows by the Oxford English Dictionary: A chatbot (n.) is a computer software that mimics human-to-human communication and usually operates over the Internet (https://www.internet. Conversational agents are the scientific term for chatbots. The terms chatbot and conversational agent will be used interchangeably in this document. Every chatbot’s underlying principle is to connect with a human user (usually via text messages) and act as though it understands and responds correctly to the conversation. Computers and humans have had conversations since the beginning of computer science. That’s exactly what Alan Turing came up with when he came up with the Turing test in 1950, which requires a human judge to determine whether or not a computer program is communicating with them via text.
But the goal of this test is much more ambitious than the normal chatbot use case, because a chatbot has limited domain knowledge, whereas the Turing test presupposes that any topic may be discussed with the agent. Conversational agents benefit from this because they don’t need to acquire (possibly infinite) domain knowledge and may thus focus on extremely specialized issues, such as helping users book a table at a restaurant, for example.
Chatbot designers make the assumption that when users commence a conversation with a chatbot, they usually have a goal in mind that they expect to achieve at the end of the session.. As a result, the flow of the conversation and the topics discussed are influenced, and the intended outcome is achieved. As a result, some patterns of behavior can be discovered by developers. It is so clear that a chatbot is defined as a computer program that mimics human communication and provides services to human users in order to achieve a specified objective. A chatbot is defined by the Oxford English Dictionary as follows: Conversations between computers and humans are simulated using chatbots (n.), a type of computer program that mimics human-to-human interaction. Conversational agents are the scientific term for chatbots. The terms chatbot and conversational agent will be used interchangeably in this document. Every chatbot’s underlying principle is to connect with a human user (usually via text messages) and act as though it understands and responds correctly to the conversation. Computers and humans have had conversations since the beginning of computer science. That’s exactly what Alan Turing came up with when he came up with the Turing test in 1950, which requires a human judge to determine whether or not a computer program is communicating with them via text.
But the goal of this test is much more ambitious than the normal chatbot use case, because a chatbot has limited domain knowledge, whereas the Turing test presupposes that any topic may be discussed with the agent. Conversational agents benefit from this because they don’t need to acquire (possibly infinite) domain knowledge and may thus focus on extremely specialized issues, such as helping users book a table at a restaurant, for example.
Chatbot designers make the assumption that when users commence a conversation with a chatbot, they usually have a goal in mind that they expect to achieve at the end of the session.. As a result, the flow of the conversation and the topics discussed are influenced, and the intended outcome is achieved. As a result, some patterns of behavior can be discovered by developers. It is so clear that a chatbot is defined as a computer program that mimics human communication and provides services to human users in order to achieve a specified objective.

Managing time attendance of staff in organizations has proven to be a challenging endeavor. Manual methods have been proposed in capturing employees’ attendance but there are inadequacies in measuring the performance of employees. This paper aims at promoting staff efficiency at work by developing a secure attendance management system for use in tertiary institutions via two subsystems; Fingerprint biometrics as a method of identification and authentication and Question-Answering module for staff performance rating. The system uses staff fingerprints stored in the database upon registration for carrying out the process of attendance and validate staff lectures’ requirements. It is accentuated by creating a question-answering module that allows students to answer some questions on each available and registered staff, hence, giving a more concentrated content about staff’s activities within the school.

SOURCE CODE AVAILABLE-simulation of fingerprint as a means of academic staff attendance

The evaluation was carried out based on the matching efficiency and attendance accuracy of the proposed system. The proposed system performed excellently with 98.51% attendance accuracy based on the high successful staff identification recorded. Hence, staff performance rating was generated, thereby creating an avenue for determining promotion grounds.

A tablet-based application for older adults to enhance memory: Communication with archiving stories

Abstract

Sharing emotion is one aspect of communication between humans. Throughout human history people have regularly met face to face in order to share or collect information and to experience emotional interaction. As technology rapidly developed the means of communication have dramatically moved to online space through social communication methods or through online information spaces where people comment or write their ideas and thoughts. Although most audiences now use online communication methods, the older population has been relatively neglected in the industry because they are sometimes considered customers outside the major market. The main goal of this study was (1) to develop a technology-friendly interface design prototype based on a touch-based tablet application using universal design principles and (2) to assess the prototype design through several research methods such as field observation, surveys, and interviews. This study can expand designers’ knowledge for the next step of application of development for older adults. This study found that even though older adults are sometimes isolated from society, they might think of relationships as an important part of their later life. Although technology may be harder for older adults to learn, this study found it possible if older adults are willing to learn and use a communication application. This study also found that intuitive visual cues might play an important role in aiding older adults to grasp and understand the structure of an application. Technology-friendly interface design can enable older adults to use technology routinely in their daily lives. The designer’s role in this process would be to seek better understanding through the user study and to find the visual elements to provide a technology-friendly environment for older adults.