Arnold Depickere

Universities teach project management to information technology (IT) students. The project management principles that students previously have learned often are put into practice in a project course that is intended to give final-year students the experience of applying their knowledge to real or simulated projects. This article reports on research that investigated the use and usefulness of project management in student IT projects. The results show that there was a wide range in the application of project management practices, with students being more likely to produce the initial documentation associated with some of the project management knowledge areas than to make use of it throughout the project to monitor the project’s progress. The results also showed that the number of project management guidelines applied in student projects was not linked to IT project success. However, there was a strong relationship between project management plan quality and obtaining a good software product.

Development of humanoid and dance robots has improved greatly due to rapid advancement of electronics, computer, mechatronics and control technologies. While humanoid robots such as Honda ASIMO, Fujita HOAP-3 and Sony QRIO have dazed the public with their amazing capabilities, such robots are in very limited supply and they are also extremely expensive. On the other hand, the low cost toy robot, WowWee's Robosapien (RS), has become very popular. It has also expanded its functionalities in later models since its line of products were first launched in 2004. The most important aspect of such robot is its cost is only a fraction of the highly sophisticated robots. This study investigates the feasibility of using low cost robots such as RS for the purposes of entertainment and teaching Thai dances. Informal feedbacks and comments have shown a high degree of acceptance and keen interest. This demonstrates the potential of low cost robots for training, entertainment and edutainment purposes.

The availability of multiple media channels through the Internet has added new dimensions of communication between people or communities who are geographically separated. In the environment of informal communication on the Internet, chat applications are popular in which a user may be represented only by a nickname or an alias. This suggests that a person may be able to communicate more freely when his or her identity is concealed. Popular chatting or instant messaging (IM) systems such as Microsoft MSN Messenger, America Online's Instant Messenger, Yahoo! Messenger, and GoogleTalk have changed the way that a user may communicate with friends, acquaintances, and business colleagues. Once limited to desktop personal computers (PCs) or laptops, popular instant messaging systems are finding their way onto handheld devices and mobile phones. This allows a user to chat from virtually anywhere. Nowadays, IM is found on almost every personal PC connected to the Internet as well as on many corporate desktops.

In this paper, we examine the use of knowledge query technology as applied to conversation bots in the instant messaging environment. Hence, we designed an artificial intelligent conversation robot or bots called Artificial Intelligence Natural language Identity (hereafter, AINI) to mimic human conversation. Our goal is to introduce a Domain Matrix Knowledge Model and an Automated Knowledge Extraction Agent (AKEA) to create AINI's knowledge bases, and in turn provide intelligent query mechanisms. We report an evaluation on the collection and analysis of a corpus containing over 3280 utterances in a series of real instant messages exchanged between the AINI conversation bot and 65 online buddies. About 1721 utterances were produced by AINI, 88.03% were from open-domain knowledge, 2.15% from domain-specific knowledge base and 9.82% were inappropriate and amusing responses. These results show that domain knowledge plays significant roles in conversations between two or more human users and in human-machine conversation.

Universities teach project management to information technology (IT) students. The project management principles that students have previously learned are often put into practice in a project course, intended to give final year students the experience of applying their knowledge to real or simulated projects. This paper reports on research that investigated the use of, and usefulness of, project management in student IT projects. The results show that there was a wide range in the application of project management practices, with students being more likely to produce the initial documentation associated with some of the project management knowledge areas than to make use of it throughout the project to monitor the project’s progress. The results also showed that the number of project management guidelines applied in student projects was not linked with IT project success. However, there was a strong relationship between project management plan quality and obtaining a good software product.

The main aim of this research is to investigate a novel technique for implementing a conversational intelligent agent system on the web. The research will focus on a multilevel natural language query approach. While the present World Wide Web provides a distributed hypermedia interface to the vast amount of information on the Internet, there is a lack of appropriate metadata to that content. Instead of being a giant library as intended, increasing sections of the Web resemble a giant garbage dump. A multilevel natural language query system is described in this paper for the representation of knowledge in specific and open domains. The six-layer conversational agent system includes Spellcheck, Natural Language Understanding and Reasoning, FAQChat, Metadata Index Search, Pattern Matching and Case-Based Reasoning, and Supervised Learning. This technique is demonstrated using extracts from queries on the field of data relating to the Bird Flu H5N1 pandemic crisis.

This paper presents a novel framework for modeling embodied conversational agent for crisis communication focusing on the H5N1 pandemic crisis. Our system aims to cope with the most challenging issue on the maintenance of an engaging while convincing conversation. What primarily distinguishes our system from other conversational agent systems is that the human-computer conversation takes place within the context of H5N1 pandemic crisis. A Crisis Communication Network, called CCNet, is established based on a novel algorithm incorporating natural language query and embodied conversation agent simultaneously. Another significant contribution of our work is the development of a Automated Knowledge Extraction Agent (AKEA) to capitalize on the tremendous amount of data that is now available online to support our experiments. What makes our system differs from typical conversational agents is the attempt to move away from strictly task-oriented dialogue.

Universities teach project management to information technology (IT) students. The project management principles that students previously have learned often are put into practice in a project course that is intended to give final-year students the experience of applying their knowledge to real or simulated projects. This article reports on research that investigated the use and usefulness of project management in student IT projects. The results show that there was a wide range in the application of project management practices, with students being more likely to produce the initial documentation associated with some of the project management knowledge areas than to make use of it throughout the project to monitor the project’s progress. The results also showed that the number of project management guidelines applied in student projects was not linked to IT project success. However, there was a strong relationship between project management plan quality and obtaining a good software product.

In this paper, we proposed a new framework to incorporate an intelligent agent software robot into a crisis communication portal (CCNet) in order to send alert news to subscribed users via email and other mobile services such as Short Message Service (SMS), Multimedia Messaging Service (MMS) and General Packet Radio Services (GPRS). The content on the mobile services can be delivered either through mobile phone or Personal Digital Assistance (PDA). This research has shown that with our proposed framework, the embodied conversation agents system can handle questions intelligently with our multilayer architecture. At the same time, the extended framework can take care of delivery content through a more humanoid interface on mobile devices.