Search (4 results, page 1 of 1)

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Abstract

As part of ongoing investigation of information seeking behaviour of end users in electronic environments, a comparison was made of those users having expertise in a topic area and those with expertise in online searching. Computer scientists and online search specialists conducted assigned searches in a HyperCard database on the topic of hypertext. Both groups of experts were able to conduct successful searches and outperformed a novice control group. Search specialists took slightly less time tahn the domain experts, modified queries by adding terms found in the text, and tended to focus on query formulation. Domain experts focused on the text and used their domain knowledge for further question answering

Type

a

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Abstract

This article surveys the use of eye tracking in investigations of online search. Three eye tracking experiments that we undertook are discussed and compared to additional work in this area, revealing recurring behaviors and trends. The first two studies are described in greater detail in Granka, Joachims, & Gay (2004), Lorigo et al. (2006), and Pan et al. (2007), and the third study is described for the first time in this article. These studies reveal how users view the ranked results on a search engine results page (SERP), the relationship between the search result abstracts viewed and those clicked on, and whether gender, search task, or search engine influence these behaviors. In addition, we discuss a key challenge that arose in all three studies that applies to the use of eye tracking in studying online behaviors which is due to the limited support for analyzing scanpaths, or sequences of eye fixations. To meet this challenge, we present a preliminary approach that involves a graphical visualization to compare a path with a group of paths. We conclude by summarizing our findings and discussing future work in further understanding online search behavior with the help of eye tracking.

Type

a

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Abstract

In the information age, a common problem for employees is not lack of resources but rather how to sift through multiple resources, both electronic and interpersonal, to retrieve and locate true expert knowledge. The main objective of this study is hence to explore employees' simultaneous usage of both resources and to identify situations where employees showed a clear preference of interpersonal resources over electronic ones, and where employees found these two resources (a) (ir)replaceable and (b) complementary. Both qualitative interview data and quantitative social-network data were collected from a university-affiliated community educational office. Data analysis showed that (a) social relationships were crucial for seeking and gaining actual access to needed knowledge; (b) employees were task-driven in knowledge seeking and obtained different types of knowledge depending on availability; and (c) the choice between interpersonal and electronic resources was determined by the characteristics of the knowledge sought as well as such contextual factors as time, cost, and location. Additional interviews from other study contexts validated most of our findings, except those that require collection of complete social-network data. The article ends with a discussion on how organizations can better leverage their investment in human and technical resources to facilitate knowledge seeking.

Type

a

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Abstract

We investigated a subject directory in the US Agriculture Department-Economic Research Service portal. Parent-child relationships, related connections among the categories, and related connections among the subcategories in the subject directory were optimized using social network analysis. The optimization results were assessed by both density analysis and edge strength analysis methods. In addition, the results were evaluated by domain experts. From this study, it is recommended that four subcategories be switched from their original four categories into two different categories as a result of the parent-child relationship optimization.?It is also recommended that 132 subcategories be moved to 40 subcategories and that eight categories be moved to two categories as a result of the related connection optimization. The findings show that optimization boosted the densities of the optimized categories, and the recommended connections of both the related categories and subcategories were stronger than the existing connections of the related categories and subcategories. This paper provides visual displays of the optimization analysis as well as suggestions to enhance the subject directory of this portal.

Type

a