Graduation date: 2006 / Previous research has revealed gender differences that impact females’ willingness to adopt software features in end users’ programming environments. Since these features have separately been shown to help end users problem solve, it is important to female end users’ productivity that we find ways to make these features more acceptable to females. This thesis draws from our ongoing work with users to help inform our design of theory-based methods for encouraging effective feature usage by both genders. This design effort is the first to begin addressing the gender differences in the ways that people go about problem solving in end-user programming situations.

Abstract Following the vigorous development of the information and internet technology, the National Tax Administrations are now facing the challenges from the changes of the inner and outer environment. Due to the update of the information operating platform as well as the drive of e-government from the Executive Yuan, the government officials need to have abilities to learn new information technology; otherwise, they will fail to be qualified on their jobs. However, there are not too many studies about the degree of acceptance of officials on learning new technology. It is necessary to provide an approach to figure out acceptance degree of officials for information technology. We provide an integrated model called the Technology Acceptance Model on government officials. The model incorporates a wide variety of important factors into a theoretical framework provided by "Technology Acceptance Model, TAM" (Davis, 1989) and "Theory of Planned Behavior, TPB" (Ajzen, 1985). We collect data from a sample of staffs of the five local tax administrations and we analyze the data using the Structural Equation Modeling. The results of this research indicate that essential factors and show what factors affect the behavior of the government officials on accepting new technology and e-government. In addition, the model provides a good fit because of fit indices and explanatory powers for behavior. That is, we can use the model to predict the officials¡¦ behavior on using tax information system.

With current state-of-the-art approaches, development of a single mobile manipulation capability can be a labor-intensive process that presents an impediment to the creation of general purpose household robots. At the same time, we expect that involving a larger community of non-roboticists can accelerate the creation of new novel behaviors. We introduce the use of a software authoring environment called ROS Commander (ROSCo) allowing end-users to create, refine, and reuse robot behaviors with complexity similar to those currently created by roboticists. Akin to Photoshop, which provides end-users with interfaces for advanced computer vision algorithms, our environment provides interfaces to mobile manipulation algorithmic building blocks that can be combined and configured to suit the demands of new tasks and their variations. As our system can be more demanding of users than alternatives such as using kinesthetic guidance or learning from demonstration, we performed a user study with 11 able-bodied participants and one person with quadriplegia to determine whether computer literate non-roboticists will be able to learn to use our tool. In our study, all participants were able to successfully construct functional behaviors after being trained. Furthermore, participants were able to produce behaviors that demonstrated a variety of creative manipulation strategies, showing the power of enabling end-users to author robot behaviors. Additionally, we introduce how using autonomous robot learning, where the robot captures its own training data, can complement human authoring of behaviors by freeing users from the repetitive task of capturing data for learning. By taking advantage of the robot's embodiment, our method creates classifiers that predict using visual appearances 3D locations on home mechanisms where user constructed behaviors will succeed. With active learning, we show that such classifiers can be learned using a small number of examples. We also show that this learning system works with behaviors constructed by non-roboticists in our user study. As far as we know, this is the first instance of perception learning with behaviors not hand-crafted by roboticists.

Thesis (Ph.D.)--University of Western Sydney, 2008. / A thesis submitted to the University of Western Sydney, College of Health and Science, School of Computing and Mathematics, in fulfilment of the requirements for the degree of Doctor of Philosophy. Includes bibliographical references.

Thesis (Ph.D)--Computing, Georgia Institute of Technology, 2009. / Committee Chair: Stasko, John T.; Committee Member: Edwards, Keith; Committee Member: Greenberg, Saul; Committee Member: Grinter, Beki; Committee Member: Guzdial, Mark. Part of the SMARTech Electronic Thesis and Dissertation Collection.

In current times, to function successfully in the work environment, the ability to use a computer is essential. The introduction of computers into organisations has often met with resistance. The reason for this resistance must be identified and overcome if businesses are to realise the productivity gains of full computer usage. On the basis of the abovementioned problem the objective of this study is to test the relationship between age, sex, locus of control and personality type and attitudes toward computer use. A theoretical investigation was carried out to gather information on the variables under study which was used to compare with the results of the empirical study. From this study of 68 white collar respondents from a financial institution it can, in general, be concluded that peoples' attitude toward the personal use of computers is positive and not affected by the individual variables tested. / Industrial and Organisational Psychology / M. Com. (Industrial Psychology)

Abstract not available

The use of computers has become part of every day life. The high prevalence of computer use may lead employers to assume university graduates will have good computing skills. Such assumptions may be the reason that employers use broad terms to advertise the computing tasks required for graduate-level positions. This thesis investigates how well the expectations of employers match the perceptions of near-graduates about their computer skills. Four graduate-level positions were identified from advertisements placed in order to recruit graduates. The employers who placed these advertisements were surveyed by interview and questionnaire. Twenty-one students about to graduate from a university commerce programme were also interviewed and surveyed. It was found that the wording of the advertisements did not satisfactorily portray the requirements and intentions of the employers. It was also found that skills the near-graduates perceived they possessed frequently did not meet the expectations of employers. Results also show that the near-graduates did not fully understand which computing skills would be expected in the workplace. This study highlights implications for three groups: employers, graduates and educators.

NETI@home is an open-source software package that collects network performance statistics from end-systems. It has been written for and tested on the Windows, Solaris, and Linux operating systems, with testing for other operating systems to be completed soon. NETI@home is designed to run on end-user machines and collect various statistics about Internet performance. These statistics are then sent to a server at the Georgia Institute of Technology, where they are collected and made publicly available. This tool gives researchers much needed data on the end-to-end performance of the Internet, as measured by end-users. NETI@homes basic approach is to sniff packets sent from and received by the host and infer performance metrics based on these observed packets. NETI@home users are able to select a privacy level that determines what types of data are gathered, and what is not reported. NETI@home is designed to be an unobtrusive software system that runs quietly in the background with little or no intervention by the user, and using few resources.

Basic Laboratory Information System (BLIS) is a joint initiative of C4G @ Georgia Tech, the Centers for Disease Control and Prevention (CDC) and Ministries of Health in several countries in Africa. The vast majority of health laboratories in Africa, engaged in routinely testing samples drawn from patients (for HIV, malaria etc.), have been using non-standardized paper logs and manual entries for keeping track of patients, test samples and results. Besides the obvious burden of tedious record-keeping, these methods increase the chances of errors due to transcription and mismatches, making it difficult to track patient history or view critical population-wide data. In 2008, PEPFAR (the United States President's Emergency Plan for AIDS Relief) together with the CDC was reauthorized with a $48 billion budget over five years to combat HIV/AIDS, tuberculosis, and malaria. The focus of PEPFAR has shifted from rapid scale-up to the quality and reliability of the clinical health programs and having an effective laboratory management system is one of its goals. C4G BLIS is a robust, customizable and easy-to-use system that keeps track of patients, samples, results, lab workflow and reports. It is meant to be an effective and sustainable enhancement to manual logs and paper-based approaches. The system is designed to work in resource-constrained laboratories with limited IT equipment and across sites with good, intermittent or no internet availability. With varied practices, workflow and terminology being followed across laboratories in various African countries, the system has been developed to enable each laboratory or country to customize and configure the system in a way that suits them best. We describe various aspects of BLIS including its flexible database schema design, configurable reports and language settings, end-user customizability and development model for rapid incorporation of user feedback. Through BLIS, we aim to demonstrate a sustainable ICT solution brought about by the early and constant involvement of the target laboratory staff and technicians, identifying their short- and long-term needs, and ensuring that the system can match these needs. We will present preliminary evaluation results from laboratories in Cameroon, Ghana, Tanzania and Uganda.