In an earlier paper the authors discussed reference services in two university libraries and suggested changes to the services based on a user survey. They also quoted research into staff and student use of information resources. Although libraries have no difficulty in compiling quantitative data, the use of such qualitative research to delve beyond the statistics, in order to better understand user needs, perceptions and behaviours, is a recent development at Harbin Engineering University Library, China. However, at the Library of the University of Northumbria in England there is a long history of using research to evaluate services. This paper gives a very brief introduction to the value of qualitative re-search in evaluating services and providing a sound basis for management decisions about staffing and service delivery. Some of the methods used at the two universities are outlined. Finally, two case studies of research projects, one from each university, will be described and the extent to which they have resulted in changes to policies or practices will be examined.

A number of references in the Human-Computer Interaction literature make the common-sense suggestion that the animated zooming effect accompanying the opening or closing of a folder in the Apple Macintosh graphical user interface aids in a user's perception of which window corresponds to which folder. We examine this claim empirically using two controlled experiments. Although we did not find a statistically significant overall difference resulting from the presence or absence of the zooming effect, a post hoc analysis revealed a highly significant interaction between the experience of users with the Macintosh user interface and the zooming effect. This individual difference suggests that users become attuned to the informational content of the zooming effect with experience.

Initial articles have posed difficulty for end-users since the first online library catalogs. This study examines the way users search using left-anchored title searches for items that contain insignificant initial articles in a library catalog. It also investigates how users react when they do not find an item because their search phrase included an insignificant initial article. The results show that a considerable number of users do not find existing titles that have insignificant initial articles because their search strategy does not coincide with the way the Library Management System was designed to handle index and retrieve these titles. Suggestions for further research are offered.

This paper presents and empirically evaluates a Technology Acceptance Model (TAM) which can serve as a simple to use, and cost-effective tool for evaluating applications and reliably predicting whether they will be accepted by users. After presenting TAM, the paper reports on a study designed to evaluate its effectiveness at predicting system use. In the study the researchers presented 76 novice users with an overview and hands-on demonstration of Netscape. Following this demonstration, data on user perceptions and attitudes about Netscape were gathered based on this initial exposure to the system. Follow up data was then gathered two weeks later to evaluate actual use of Netscape following the demonstration. Results suggest that TAM is an effective and cost effective tool for predicting end user acceptance of systems. Suggestions for future research and conclusions for both researchers and practitioners are offered.

Dervin and Nilanâ s (1986) article, â Information needs and uses,â has been an influential article in Library and Information Science (LIS), because it calls for a paradigm shift in LIS away from research that focuses on systems and standards to research that focuses on users. This article also has been influential on library and information practice. Librarians and other information workers are called on to be user-centered and place users at the center of library programs and services. Conforming to the user-centered paradigm, however, has been problematic for broad representational systems, like library cataloging, that must meet the diverse needs of global users. Despite calls to focus on users, the cataloging field has not taken a user-centered approach in research or in the development of cataloging standards. Instead, the responsibility to meet usersâ needs has been placed on cataloging practitioners, who are encouraged to customize bibliographic records to meet their local usersâ needs. Dissertation research by Hoffman (2008) suggests that catalogers are limited in their ability to customize bibliographic records, because catalogers do not know who their users are and cannot identify their usersâ needs. In addition, library administrators discourage customization in favor of efficient cataloging processes. There are limits to LISâ s user-centered paradigm in the area of cataloging, and perhaps it needs to examined and reconsidered. Is the user-centered paradigm still applicable to cataloging? How should cataloging meet usersâ needs? This paper will examine the problems of the user-centered paradigm in cataloging.

This paper reports the results of an exploratory qualitative study of how senior engineers in a research laboratory environment do personal information management (PIM). Responsive, semi-structured interviews were conducted with four senior engineers. Thirteen themes in four groupings emerged. The four groupings are: organization and retrieval, un-organized aspects, information keeping and preservation, and use of specialized tools. Themes not seen in other studies are: writing to remember and reporting to retrieve, and personal handbooks. The themes are described in detail. Implications for the design of information systems and future work are discussed.

This research presents an in-depth investigation and description of a single user group, system administrators. Following an overview of these computing professionals and their complex, risky work environment, system administrator work practices were investigated using data collected from previous experience, interviews, a usability study, and the literature. This research contributes to existing knowledge by presenting an analysis of system administrator work practices and identifying them as broker technicians. As such, many of the findings of this study may apply to other broker technicians. Because the work of system administration is so dependent upon technology and the way sysadmins access and control that technology, investigations of tool use were then studied. Through an analysis of work practices related to tool use, attributes important to system administrator work practices were identified. These attributes fell into two categories: information quality (currency, completeness, accuracy, format, logging, and verification) and system quality (reliability, flexibility, integration, accessibility, speed, scriptability, credibility, situation awareness, and monitoring).This research proposes the use of Wixom and Todd's (2005) integrated user satisfaction model in the context of system administration. This theoretical model provides an opportunity to link the identified characteristics with system administrator beliefs and tool usage. This research contributes to existing knowledge by identifying information and system quality attributes important to system administrators, and empirically testing the modified user satisfaction model in the untested context of system administration. The user satisfaction model was found to be significant and predictive of system administrator tool use behaviors, with two information quality attributes (accuracy and verification) and two system quality attributes (reliability and credibility) significant.

Tracking the evolution of user interests is a problem instance of concept drift learning. Keeping track of multiple interest categories is a natural phenomenon as well as an interesting tracking problem because interests can emerge and diminish at different time frames. The first part of this dissertation presents a Multiple Three-Descriptor Representation (MTDR) algorithm, a novel algorithm for learning concept drift especially built for tracking the dynamics of multiple target concepts in the information filtering domain. The learning process of the algorithm combines the long-term and short-term interest (concept) models in an attempt to benefit from the strength of both models. The MTDR algorithm improves over existing concept drift learning algorithms in the domain. Being able to track multiple target concepts with a few examples poses an even more important and challenging problem because casual users tend to be reluctant to provide the examples needed, and learning from a few labeled data is generally difficult. The second part presents a computational Framework for Extending Incomplete Labeled Data Stream (FEILDS). The system modularly extends the capability of an existing concept drift learner in dealing with incomplete labeled data stream. It expands the learner's original input stream with relevant unlabeled data; the process generates a new stream with improved learnability. FEILDS employs a concept formation system for organizing its input stream into a concept (cluster) hierarchy. The system uses the concept and cluster hierarchy to identify the instance's concept and unlabeled data relevant to a concept. It also adopts the persistence assumption in temporal reasoning for inferring the relevance of concepts. Empirical evaluation indicates that FEILDS is able to improve the performance of existing learners particularly when learning from a stream with a few labeled data. Lastly, a new concept formation algorithm, one of the key components in the FEILDS architecture, is presented. The main idea is to discover intrinsic hierarchical structures regardless of the class distribution and the shape of the input stream. Experimental evaluation shows that the algorithm is relatively robust to input ordering, consistently producing a hierarchy structure of high quality.

In this paper we have studied how user designed mock-ups, together with video recordings, can contribute in the process of generating user requirements when designing the future e- newspaper. The mock-ups originate from future workshop carried out within the DigiNews project. By analyzing user designed mock-ups to retrieve user requirements and evaluating the results against a focus group and newspaper designers we gained understanding on how mock-ups can contribute as data input in a user involved design process. The study concludes that mock-ups are an effective tool for making use of users’ visions and opinions in a dynamic design process.

The modern programs must have a comfortable graphical user interface (GUI). Graphical interface is the environment for creation of graphical window with visual elements: buttons, edit text boxes, check boxes, list boxes, menu, toolbars etc., where a user chooses appropriate problem conditions, input data and sets proper options. For the development of such programs visual programming environments C++ Builder, Delphi, Visual Basic etc. were developed a decade ago. Recently user graphical interface technology was also implemented in the Computer Algebra Systems Maple (www.maplesoft.com), Mathematica (www.wolfram.com) and MatLab (www.mathworks.com). The present work investigates Maple graphical user interface creation facilities. It is possible to create GUI with Maplets package or in Maplet Builder design environment. This work examines these two methods with examples. The GUI creation facilities were tried investigating the curve fitting methods of Maple system. Some applied programs, using Maple Curve Fitting package, were created in Maple visual environment. The practical problem of speech sound formants variation curves fitting was also investigated. For that task some programs were created in the Maple visual environment.