5,662 research outputs found

    Multitasking web searching and implications for design

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    Bu çalışma, Kaliforniya[ABD]'de 19-22 Ekim tarihleri arasında düzenlenen 66. Annual Meeting of the American-Society-for-Information-Science-and-Technology'de bildiri olarak sunulmuştur.This paper presents findings from a study of users multitasking searches on Web search engines. A user's single session with a Web search engine may consist of seeking information on single or multiple topics. Limited research has focused on multitasking search and the implications for Web design. Incidence of multitasking search by AlltheWeb.com and Excite Web search engine users were filtered from transaction logs. Findings include: (1) multitasking Web searches are a noticeable user behavior, one tenth of Excite users and one third of AlltheWeb.com users conducted multitasking searches, (2) multitasking search sessions are longer than regular search sessions in terms of queries per session and duration, (3) both Excite and AlltheWeb.corn users search for about three topics per multitasking session and submit about 4-5 queries per topic, and (4) there is a broad variety of search topics in multitasking search sessions. The implications of our findings for Web design and further research are discussed.American Society for Information Science & Technolog

    Cross Validation Of Neural Network Applications For Automatic New Topic Identification

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    There are recent studies in the literature on automatic topic-shift identification in Web search engine user sessions; however most of this work applied their topic-shift identification algorithms on data logs from a single search engine. The purpose of this study is to provide the cross-validation of an artificial neural network application to automatically identify topic changes in a web search engine user session by using data logs of different search engines for training and testing the neural network. Sample data logs from the Norwegian search engine FAST (currently owned by Overture) and Excite are used in this study. Findings of this study suggest that it could be possible to identify topic shifts and continuations successfully on a particular search engine user session using neural networks that are trained on a different search engine data log

    'First Portal in a Storm': A Virtual Space for Transition Students

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    The lives of millennial students are epitomised by ubiquitous information, merged technologies, blurred social-study-work boundaries, multitasking and hyperlinked online interactions (Oblinger & Oblinger, 2005). These characteristics have implications for the design of online spaces that aim to provide virtual access to course materials, administrative processes and support information, all of which is required by students to steer a course through the storm of their transition university experience. Previously we summarised the challenges facing first year students (Kift & Nelson, 2005) and investigated their current online engagement patterns, which revealed three issues for consideration when designing virtual spaces (Nelson, Kift & Harper, 2005). In this paper we continue our examination of students’ interactions with online spaces by considering the perceptions and use of technology by millennial students as well as projections for managing the virtual learning environments of the future. The findings from this analysis are informed by our previous work to conceptualise and describe the architecture of a transition portal

    Personality, Technology, and Learning

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    Computers continued encroachment on today’s society can be seen in a college lecture hall, where a growing number of students use laptops for their academic needs. Current academic laptop use research predominantly makes broad generalizations across users, indicating that laptop use in the classroom has negative influences on academic outcomes. However, this research neglects to take into account possible individual differences in the users. It is hypothesized that students\u27 levels of conscientiousness and impulsivity would moderate the relationship between laptop use and academic performance, while a student’s multitasking experience would mediate this same relationship, forming a moderated mediation model. Using an online sample of college aged students (N= 195), the hypothesized moderated mediation model was not supported. Students\u27 levels of conscientiousness or impulsivity do not moderate the relationship between laptop use and academic performance, and a student’s multitasking experience does not mediate this same relationship

    A new integrated model for multitasking during web searching

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    Investigating multitasking information behaviour, particularly while using the web, has become an increasingly important research area. People s reliance on the web to seek and find information has encouraged a number of researchers to investigate the characteristics of information seeking behaviour and the web seeking strategies used. The current research set out to explore multitasking information behaviour while using the web in relation to people s personal characteristics, working memory, and flow (a state where people feel in control and immersed in the task). Also investigated were the effects of pre-determined knowledge about search tasks and the artefact characteristics. In addition, the study also investigated cognitive states (interactions between the user and the system) and cognitive coordination shifts (the way people change their actions to search effectively) while multitasking on the web. The research was exploratory using a mixed method approach. Thirty University students participated; 10 psychologists, 10 accountants and 10 mechanical engineers. The data collection tools used were: pre and post questionnaires, pre-interviews, a working memory test, a flow state scale test, audio-visual data, web search logs, think aloud data, observation, and the critical decision method. Based on the working memory test, the participants were divided into two groups, those with high scores and those with lower scores. Similarly, participants were divided into two groups based on their flow state scale tests. All participants searched information on the web for four topics: two for which they had prior knowledge and two more without prior knowledge. The results revealed that working memory capacity affects multitasking information behaviour during web searching. For example, the participants in the high working memory group and high flow group had a significantly greater number of cognitive coordination and state shifts than the low working memory group and low flow group. Further, the perception of task complexity was related to working memory capacity; those with low memory capacity thought task complexity increased towards the end of tasks for which they had no prior knowledge compared to tasks for which they had prior knowledge. The results also showed that all participants, regardless of their working memory capacity and flow level, had the same the first frequent cognitive coordination and cognitive state sequences: from strategy to topic. In respect of disciplinary differences, accountants rated task complexity at the end of the web seeking procedure to be statistically less significant for information tasks with prior knowledge compared to the participants from the other disciplines. Moreover, multitasking information behaviour characteristics such as the number of queries, web search sessions and opened tabs/windows during searches has been affected by the disciplines. The findings of the research enabled an exploratory integrated model to be created, which illustrates the nature of multitasking information behaviour when using the web. One other contribution of this research was to develop new more specific and closely grounded definitions of task complexity and artefact characteristics). This new research may influence the creation of more effective web search systems by placing more emphasis on our understanding of the complex cognitive mechanisms of multitasking information behaviour when using the web

    Relying on External Information Sources When Answering Knowledge Questions in Web Surveys

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    Knowledge questions frequently are used in survey research to measure respondents’ topic-related cognitive ability and memory. However, in self-administered surveys, respondents can search external sources for additional information to answer a knowledge question correctly. In this case, the knowledge question measures accessible and procedural memory. Depending on what the knowledge question aims at, the validity of this measure is limited. Thus, in this study, we conducted three experiments using a web survey to investigate the effects of task difficulty, respondents’ ability, and respondents’ motivation on the likelihood of searching external sources for additional information as a form of over-optimizing response behavior when answering knowledge questions. We found that the respondents who are highly educated and more interested in a survey are more likely to invest additional efforts to answer knowledge questions correctly. Most importantly, our data showed that for these respondents, a more difficult question design further increases the likelihood of over-optimizing response behavior
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