Thesis (M.C.S.) - Carleton University, 2009. / Includes bibliographical references (p. 92-96). Also available in electronic format on the Internet.

Thesis (M.S.)--University of Montana, 2007. / Title from title screen. Description based on contents viewed Oct. 9, 2007. Includes bibliographical references (p. 59).

Abstract As the Internet and wireless technologies become mature, people may use more than one digital device to manage their personal data. However, the complexities and difficulties in personal information management will arise due to various devices and heterogeneous platforms. To cope with this problem, we design an intelligent architecture for personal information management based on the XML-RPC technology, which allows the software running on disparate operating systems and in different environments to make procedure calls over the Internet. We also implement an information server to manage the whole data and handle the synchronization process. The system provides users a simple and convenient environment to manage and synchronize their personal information. Besides, the group facility in this system makes the people in the same group or community capable of sharing their information more easily.

Thesis (M. Ed.(RGO)--Universiteit van Pretoria, 2001. / Includes bibliographical references (p. 68-71).

Thesis (MA--Art and Design) -- Auckland University of Technology, 2003. / Not all images visible in e-thesis. Also held in print (45 leaves, ill., CD-ROM, 30 cm.) in Wellesley Theses Collection. (T 709.93 CAM)

Thesis (Ph. D.)--University of Washington, 2007. / Vita. Includes bibliographical references (leaves 322-335).

A research report submitted to the Faculty of Commerce, Law and Management, University of the Witwatersrand, Johannesburg, in partial fulfillment of the requirements of the degree of Masters of Commerce in Management, 2018 / This study sought to contribute to a further convergence between three topical research areas: Personal Knowledge Management (PKM), Individual Work Performance (IWP) and SelfPerceived Employability (SPE). Specifically, this study investigated the moderating effect of SPE on the relationship between PKM and IWP. PKM is an interdisciplinary concept, connected with management science, information science; information technology and other disciplines. The shift from the industrial economy to the knowledge economy has contributed to the surfacing of the knowledge-based view of the organisations and the emergence of the concept of knowledge workers or “people who think for a living” (Davenport, 2005). Knowledge workers are individuals who possess or seek to develop unique cognitive competencies and skills built upon effective PKM. While it has been acknowledged in the literature that PKM encompasses a competency aspect on the one hand and a technological perspective on the other hand, the overall reflection conducted in this study claimed to be skills/competencies centric. In that regard, a competency model developed by Kirby (2005, 2008) comprising of four-fold dimensions was used in this study to measure PKM. These four dimensions include analytical competencies (ANL), social competencies (SOC), information competencies (INF) and learning competencies (LRN). The construct of IWP relates to the individual behaviours or actions displayed by knowledge workers which are relevant to the goals of the organisation. This implies that IWP focuses on behaviours or actions of workers rather than the results of these actions. In addition, these behaviours should be under the control of the individual, thus excluding behaviours that are constrained by the environment. IWP was measured using the three components relevant to the IWP namely task performance (TSK), contextual performance (CON) and counterproductive work behavior (CWB). Employability concerns the extent to which people possess the skills and other attributes to find and stay in the kind of work they want. Such individuals are assumed to display a greater propensity to IWP. SPE is relating to a self-assessment of the employees as to how the organisation they are working for value them as individuals. Most importantly, SPE is associated with v individuals’ self-perception of their merit based more on their personal competencies than features of their occupation. Through a review of relevant literature this study discussed how PKM impacts IWP, and how SPE can potentially impact that relationship. This study used a sample of working professional students studying at Wits Plus (the University of the Witwatersrand’s centre for part-time studies), Wits Business School and Wits School of Governance and will perform Structural Equation Modelling (SEM) and hierarchical regression for data analysis. / XL2019

Providing an effective mechanism for personal information retrieval is important for many applications, and requires different techniques than have been developed for general web search. This thesis focuses on developing retrieval models and representations for personal search, and on designing evaluation frameworks that can be used to demonstrate retrieval effectiveness in a personal environment. From the retrieval model perspective, personal information can be viewed as a collection of multiple document types each of which has unique metadata. Based on this perspective, we propose a retrieval model that exploits document metadata and multi-type structure. Proposed retrieval models were found to be effective in other structured document collections, such as movies and job descriptions. Associative browsing is another search method that can complement keyword search. To support this type of search, we propose a method for building an association graph representation by combining multiple similarity measures based on a user's click patterns. We also present a learning techniques for refining the graph structure based on user's clicks. Evaluating these methods is particularly challenging for personal information due to privacy issues. This thesis introduces a set of techniques that enables realistic and repeatable evaluation of techniques for personal information retrieval. In particular, we describe techniques for simulating test collections and show that game-based user studies can collect more realistic usage data with relatively small cost.

Refinding electronic information is a common problem, yet it has received less study than the problem of how to find information for the first time. In this dissertation, I examine how people approach tasks to refind information they have seen on the Web and factors that may affect refinding. I conducted a controlled, laboratory study in which participants participated in two sessions: one to find information for a set of 18 tasks and a second session, about a week later, to attempt a set of counterpart refinding tasks. Results indicate that finding and refinding do have differences, but not for all types of tasks. The use of Web search engines was not observed to change significantly from the first session to the second. However, for tasks that participants were more familiar with, search engines were used less. Tasks that involved refinding a subset of the information that was found in the first session took longer to complete and were perceived as more difficult. Participants often went directly to known resources on the Web to start their searches. These sets of known resources included many on-line counterparts of paper resources such as telephone directories, dictionaries, and newspapers. For many tasks, participants used the same starting strategy to refind the information that they used find it, indicating strong patterns of access. This work contributes to the base of knowledge about how people refind information and the factors that affect refinding. It also contributes to the research field of information refinding and personal information management by identifying dimensions and factors that affect refinding. The results reported have implications for the design of Web sites and information repositories, the design of tools to help users find and refind information, and for the research community studying personal information management. / Ph. D.

Multiple devices such as desktops, laptops, and cell phones are often used to manage users' personal information, such as files, calendars, contacts, emails, and bookmarks. This dissertation presents the results of two studies that examined users' mental workload in this context, especially when transitioning tasks from one device to another. In a survey of 220 knowledge workers, users reported high frustration with current devices' support for task migration, e.g. making files available on multiple machines. To investigate further, I conducted a controlled experiment with 18 participants. While they performed PIM tasks, I measured their mental workload using subjective measures and physiological measures. Some systems provide support for transitioning users' work between devices, or for using multiple devices together; I explored the impact of such support on mental workload and task performance. Participants performed three tasks (Files, Calendar, Contacts) with two treatment conditions each (lower and higher support for migrating tasks between devices.) This dissertation discusses my findings: workload measures obtained using the subjective NASA TLX scale were able to discriminate between tasks, but not between the two conditions in each task. Task-Evoked Pupillary Response, a continuous measure, was sensitive to changes within each task. For the Files task, a significant increase in workload was noted in the steps before and after task migration. Participants entered events faster into paper calendars than into an electronic calendar, though there was no observable difference in workload. For the Contacts task, task performance was equal, but mental workload was higher when no synchronization support was available between their cell phone and their laptop. Little to no correlation was observed between task performance and both workload measures, except in isolated instances. This suggests that neither task performance metrics nor workload assessments alone offer a complete picture of device usability in multi-device personal information ecosystems. Traditional usability metrics that focus on efficiency and effectiveness are necessary, but not sufficient, to evaluate such designs. Given participants' varying subjective perceptions of these systems and differences in task-evoked pupillary response, aspects of hot cognition such as emotion, pleasure, and likability show promise as important parameters in system evaluation. / Ph. D.