Sudatta Chowdhury

Usability and impact of digital libraries : a review

Purpose - The main objective of this paper is to review work on the usability and impact of digital libraries. Design/methodology/approach - Work on the usability and impact of digital libraries is reviewed. Specific studies on the usability and impact of digital libraries in specific domains are also discussed in order to identify general and specific usability and impact measures. Findings - The usability studies reviewed in this paper show that a number of approaches have been used to assess usability. In addition to the technical aspects of digital library design (e.g. architecture, interfaces and search tools), there are a number of usability issues such as globalisation, localisation, language, culture issues, content and human information behaviour. Digital libraries should, however, be evaluated primarily with respect to their target users, applications and contexts. Research limitations/implications - Although a digital library evaluation study may have several objectives, ranging from the evaluation of its design and architecture to the evaluation of its usability and its impact on the target users, this paper focuses on usability and impact. Originality/value - This paper provides insights into the state-of-the art in relation to the usability and impact of digital libraries.

Uncertainty in information seeking and retrieval: A study in an academic environment

This research focuses specifically on uncertainty and information seeking in a digital environment. In this research we argue that different types of uncertainty are associated with the information seeking process and that, with the proliferation of new and different search tools, sources and channels, uncertainty, positive/desirable or negative/undesirable, continues to be a significant factor in the search process. Users may feel uncertain at any stage of the information search and retrieval process and uncertainty may remain even after completion of the process resulting in what may be called persistent uncertainty. An online questionnaire was used to collect data from users in the higher education sector. There were three parts to the questionnaire focusing on: information seeking activities, information seeking problems, and access to specific information channels or sources. Quantitative analysis was carried out on the data collected through the online questionnaire. A total of 668 responses were returned from the chosen user categories of academic staff, research staff and research students. This research has shown that there are some information seeking activities and information seeking problems that are the most common causes of uncertainty among significant number of users from different disciplines, age, gender, ICT skills, etc. This is also the case with respect to access to and use of specific information sources/channels, although the degrees of uncertainty in relation are relatively small. Possible implications of this study and further research issues are indicated.

Relationship among activities and problems causing uncertainty in information seeking and retrieval

Purpose – This paper aims to argue that different types of uncertainty are associated with information seeking and retrieval (IS&R), and that, with the proliferation of new and different search tools, channels and sources, uncertainty, whether positive or negative, continues to be a significant factor in the search process. The paper aims to report on one part of an ongoing research that aims to study correlations among a series of information‐seeking activities and information‐seeking problems that cause uncertainty amongst users in academic environment.Design/methodology/approach – An online questionnaire is used to collect data from users in the higher education sector. Quantitative analysis is carried out on the data collected through an online questionnaire distributed through eight online mailing lists comprising a total of 3,607 registered users. A total of 668 responses are returned from three categories of respondents: academic staff, research staff and research students. Pearsons correlation co...

A model of uncertainty and its relation to information seeking and retrieval (IS&R)

– The purpose of this paper is to show that uncertainty may be caused not only by a knowledge gap in the mind of a user with respect to a given subject or topic, but also by the various complexities associated with the information seeking and retrieval (ISR and the assessment of, and reaction to, the results produced by the search process. Uncertainty may be unresolved, or even increase, as the user progresses, often iteratively, through the IS&R process and may remain even after its completion, resulting in what may be called a persistent uncertainty. In other words, this research hypothesises that, in addition to the uncertainty that triggers the information search process (Wilson et al., 2000), users suffer from varying degrees of uncertainty at every stage of the information search and retrieval process, and that in turn, triggers different information-seeking behaviours.

Digital Natives and Virtual Learning Environment: A Case Study

Higher educational institutions have realized the importance of virtual space to cater to the information needs of digital natives. They have now extended their physical boundaries towards the design of virtual space to support teaching and learning.

Desired features of a news aggregator service: an end-user perspective

Reports on what users experience when interacting with currently available news aggregator services. Five news aggregator services were chosen as the most representatives of emerging trends in this area of research and a combination of quantitative and qualitative methods were used for data collection involving users from the academic and research community. Forty-five responses were received for the online questionnaire survey, and 10 users were interviewed to elicit feedback . Criteria and measures for comparing usability of the chosen services were defined by the researchers based on the review of literature and a detailed study of the chosen news aggregator services. A number of desirable features of news aggregators were identified. Concluded that an ideal model could be designed by combining the usability features of TvEyes and the retrieval performance of GoogleNews.