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Abstract

In this article we discuss re-retrieving personal information objects and relate the task to recovering from lapse(s) in memory. We propose that fundamentally it is lapses in memory that impede users from successfully re-finding the information they need. Our hypothesis is that by learning more about memory lapses in non-computing contexts and how people cope and recover from these lapses, we can better inform the design of PIM tools and improve the user's ability to re-access and re-use objects. We describe a diary study that investigates the everyday memory problems of 25 people from a wide range of backgrounds. Based on the findings, we present a series of principles that we hypothesize will improve the design of personal information management tools. This hypothesis is validated by an evaluation of a tool for managing personal photographs, which was designed with respect to our findings. The evaluation suggests that users' performance when re-finding objects can be improved by building personal information management tools to support characteristics of human memory.

The Impact of User Knowledge on Web Search Satisfaction

“…The knowledge includes the information on what is the search system and the functionalities provided. Knowledge on the facilities provided by the system such as the assisted tool and Boolean operator has been shown to have a significant effect on the search performance, satisfaction and confidence (Chau et al, 2007). The finding of this study has shown that system understanding has a positive and significant relationship with the search satisfaction (β = 0.28, p<0.01).…”

“…In its absence, a Boolean operator was also found to be an effective means for improving user performance. Knowing how to use Boolean to formulate query is a great advantage for web users (Chau et al, 2007). Therefore, it is no doubt that Boolean has been recorded as the most frequently used facility to support searching (Ali, 2005).…”

Equality of Google Scholar with Web of Science Citations: Case of Malaysian Engineering Highly Cited Papers

“…The citation facility of Google Scholar is a potential new tool for Bibliometrics (Kousha & Thelwall, 2007). Google Scholar, is a free-of-charge by the giant Google search engine, has been suggested as an alternative or complementary resource to the commercial citation databases like Web of Knowledge (ISI/Thomson) or Scopus (Elsevier) (Aguillo, 2011).…”

“…GS also introduced two new services in recent years: Google Scholar Author Citation Tracker in 2011 and Google Scholar Metrics for Publications in April 2012 (Jacso, 2012). Perhaps some of these documents would not otherwise be indexed by search engines such as Google, so they would be "invisible" to web searchers, and clearly some would be similarly invisible to Web of Science users, since it is dominated by academic journals (Kousha & Thelwall, 2007). On the other hand, the Thomson Reuters/Institute for Scientific Information databases (ISI) or Web of Science database (actually there is ambiguity between different names of former ISI), include three databases: Science Citation Index/Science Citation Index Expanded (SCI/SCIE) (SCIE is the online version of SCI), Social Science Citation Index (SSC) and Arts and Humanities Citation Index (AHCI) (Larsen & von Ins, 2010).…”

Centrality Robustness and Link Prediction in Complex Social Networks

“…The problem is described with some detail in [16,24]. In these works, [16] evaluates current state-of-art methods and [24] creates a classification of the different approaches.…”