The effects on topic familiarity on online search behaviour and use of relevance criteria

This paper presents an experimental study on the effect of topic familiarity on the assessment behaviour of online searchers. In particular we investigate the effect of topic familiarity on the resources and relevance criteria used by searchers. Our results indicate that searching on an unfamiliar topic leads to use of more generic and fewer specialised resources and that searchers employ different relevance criteria when searching on less familiar topics

Reconceptualising knowledge seeking in knowledge management: towards a knowledge seeking process model

Promoting knowledge sharing has long been regarded as a very important aspect of the management of knowledge. However, knowledge sharing has its challenges due to the special nature of knowledge. Based on this, the researcher argues that it is knowledge seeking rather than knowledge sharing that plays a crucial role in knowledge management. However, there is no clear definition for knowledge seeking in existing literature. In the few studies of knowledge seeking research, knowledge has been viewed as a noun and as such knowledge seeking has been seen as no different to information seeking. The aim of this research has been to explore the knowledge seeking process in the workplace in order to conceptualise knowledge seeking by developing a theoretical model. A review of the literature concerning knowledge seeking has been conducted in order to clarify the concept of knowledge seeking. From the interpretivist’s perspective, a qualitative research approach has been taken, in which sense-making theory is employed as a methodological guide. Time-line interviews were carried out with construction engineers in China to collect primary data, and Template analysis was utilized. Based on the literature, this thesis defined knowledge seeking as a learning process, which consists of three major themes: experiential learning, information seeking and problem solving, based on which a preliminary framework was developed. Twenty six engineers were successfully interviewed. The findings from the data confirmed the links between the themes. Further codes were also identified to develop a final template, which evolved to a theoretical model illustrating the knowledge seeking process in the workplace. By promoting knowledge seeking rather than knowledge sharing, this research contributed innovatory insight into existing KM research. The new concept of knowledge seeking and the theoretical model developed thereafter contribute to knowledge by providing a theoretical framework for further research in this area. The specific combination of time-line interviews and template analysis has demonstrated good results in this research. Collecting primary data from China, this research applied Western theories onto engineers within a Chinese context, which has contributed to KM research in China. These contributions will result in many practical implications for KM practices

The development of a model of information seeking behaviour of students in higher education when using internet search engines.

This thesis develops a model of Web information seeking behaviour of postgraduate students with a specific focus on Web search engines' use. It extends Marchionini's eight stage model of information seeking, geared towards electronic environments, to holistically encompass the physical, cognitive, affective and social dimensions of Web users' behaviour. The study recognises the uniqueness of the Web environment as a vehicle for information dissemination and retrieval, drawing on the distinction between information searching and information seeking and emphasises the importance of following user-centred holistic approaches to study information seeking behaviour. It reviews the research in the field and demonstrates that there is no comprehensive model that explains the behaviour of Web users when employing search engines for information retrieval. The methods followed to develop the study are explained with a detailed analysis of the four dimensions of information seeking (physical, cognitive affective, social). Emphasis is placed on the significance of combined methods (qualitative and quantitative) and the ways in which they can enrich the examination of human behaviour. This is concluded with a discussion of methodological issues. The study is supported by an empirical investigation, which examines the relationship between interactive information retrieval using Web search engines and human information seeking processes. This investigates the influence of cognitive elements (such as learning and problem style, and creative ability) and affective characteristics (e. g. confidence, loyalty, familiarity, ease of use), as well as the role that system experience, domain knowledge and demographics play in information seeking behaviour and in user overall satisfaction with the retrieval result. The influence of these factors is analysed by identifying users' patterns of behaviour and tactics, adopted to solve specific problems. The findings of the empirical study are incorporated into an enriched information-seeking model, encompassing use of search engines, which reveals a complex interplay between physical, cognitive, affective and social elements and that none of these characteristics can be seen in isolation when attempting to explain the complex phenomenon of information seeking behaviour. Although the model is presented in a linear fashion the dynamic, reiterative and circular character of the information seeking process is explained through an emphasis on transition patterns between the different stages. The research concludes with a discussion of problems encountered by Web information seekers which provides detailed analysis of the reasons why users express satisfaction or dissatisfaction with the results of Web searching, areas in which Web search engines can be improved and issues related to the need for students to be given additional training and support are identified. These include planning and organising information, recognising different dimensions of information intents and needs, emphasising the importance of variety in Web information seeking, promoting effective formulation of queries and ranking, reducing overload of information and assisting effective selection of Web sites and critical examination of results

Modelling the IR task: supporting the user

The need for improved interface designs and targeted task support were highlighted based on performance data gathered in an empirical evaluation of a typical commercial database: MEDLINE1. The thesis outlines theoretical work addressing the cognitive activity underlying searchers behaviour in the information retrieval task and unifies this into a cognitive task model of their information seeking behaviour. The motivation for this work is to understand; explain and minimise the mismatch between information retrieval interfaces, and their associated functionality, and users’ mental models of the search process. The cognitive model consists of IR processes, cognitive activities, correspondence rules, knowledge sources necessary to support the task, strategies, tactics and IR systems representations. The cognitive model is related to specific systems through taxonomies of possible functionality. The model is evaluated by comparing empirical observations of users’ information retrieval against the models predictions of behaviour for a specific situation. Design implications attempt to link the model of human action to what users need to know and the task support provided by an IR system to indicate and justify design requirements. In this way the research attempts to define the facilities which support user process. A concept demonstrator is presented with associated usability studies. The effectiveness and limitations of this approach to the systematic design and evaluation of IR systems are discussed