Search (9 results, page 1 of 1)

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Abstract

This study investigated Simon's behavioral decisionmaking theories of bounded rationality and satisficing in relation to young people's decision making in the World Wide Web, and considered the role of personal preferences in Web-based decisions. It employed a qualitative research methodology involving group interviews with 22 adolescent females. Data analysis took the form of iterative pattern coding using QSR NUD*IST Vivo qualitative data analysis software. Data analysis revealed that the study participants did operate within the limits of bounded rationality. These limits took the form of time constraints, information overload, and physical constraints. Data analysis also uncovered two major satisficing behaviors-reduction and termination. Personal preference was found to play a major role in Web site evaluation in the areas of graphic/multimedia and subject content preferences. This study has related implications for Web site designers and for adult intermediaries who work with young people and the Web

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Date

18.11.2014 13:22:03

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Abstract

Finding information an the Web can be a much more complex search process than previously experienced an many pre-Web information retrieval systems given that finding content online does not have to happen via a search algorithm typed into a search field. Rather, the Web allows for a myriad of search strategies. Although there are numerous studies of Web search techniques, these studies often limit their focus to just one part of the search process and are not based an the behavior of the general user population, nor do they include information about the users. To remedy these shortcomings, this project looks at how peopie find information online in the context of their other media use, their general Internet use patterns, in addition to using information about their demographic background and social support networks. This article describes the methodology in detail, and suggests that a mix of survey instruments and in-person observations can yield the type of rich data set that is necessary to understand in depth the differences in people's information retrieval behavior online.

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Abstract

The emergence of information portal systems in the past few years has led to a greatly enhanced Web-based environment for users seeking information online. While considerable research has been conducted an user information-seeking behavior in regular IR environments over the past decade, this paper focuses specifically an how users in a medical science and clinical setting carry out their daily information seeking through a customizable information portal system (MyWelch). We describe our initial study an analyzing Web usage data from MyWelch to see whether the results conform to the features and patterns established in current information-seeking models, present several observations regarding user information-seeking behavior in a portal environment, outline possible long-term user information-seeking patterns based an usage data, and discuss the direction of future research an user information-seeking behavior in the MyWelch portal environment.

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Abstract

There's something magical about interface design. The research done to determine user behavior that leads to design decisions is positively fascinating. This time round we have a group at Penn State testing the proficiency of users on their brand new OPAC. The users were divided into two groups, "experienced" and "first-time". Results confirm other studies in this area, namely, that when confronting an OPAC, users both experienced and not, assume they're in front of something similar to Google. They go for keywords by default, expect results ranked by relevancy (as opposed to chronology), make no use of Boolean Operators, have no idea of what information is actually indexed, and lack the curiosity or time to "learn the system". "We can either abandon this population," the author stresses, "or design systems that do not require expert knowledge to be used effectively.

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Abstract

In this article, we investigate the criteria used by online searchers when assessing the relevance of Web pages for information-seeking tasks. Twenty-four participants were given three tasks each, and they indicated the Features of Web pages that they used when deciding about the usefulness of the pages in relation to the tasks. These tasks were presented within the context of a simulated work-task situation. We investigated the relative utility of features identified by participants (Web page content, structure, and quality) and how the importance of these features is affected by the type of information-seeking task performed and the stage of the search. The results of this study provide a set of criteria used by searchers to decide about the utility of Web pages for different types of tasks. Such criteria can have implications for the design of systems that use or recommend Web pages.

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Date

20. 1.2015 18:30:22

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Abstract

Conventional wisdom holds that queries to information retrieval systems will yield more relevant results if they contain multiple topic-related terms and use Boolean and phrase operators to enhance interpretation. Although studies have shown that the users of Web-based search engines typically enter short, term-based queries and rarely use search operators, little information exists concerning the effects of term and operator usage on the relevancy of search results. In this study, search engine users formulated queries on eight search topics. Each query was submitted to the user-specified search engine, and relevancy ratings for the retrieved pages were assigned. Expert-formulated queries were also submitted and provided a basis for comparing relevancy ratings across search engines. Data analysis based on our research model of the term and operator factors affecting relevancy was then conducted. The results show that the difference in the number of terms between expert and nonexpert searches, the percentage of matching terms between those searches, and the erroneous use of nonsupported operators in nonexpert searches explain most of the variation in the relevancy of search results. These findings highlight the need for designing search engine interfaces that provide greater support in the areas of term selection and operator usage