2013
DOI: 10.1002/meet.14505001041
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Information‐seeking behaviors of computer scientists: Challenges for electronic literature search tools

Abstract: Since the recent emergence of electronic literature resources, researchers have begun to adopt new informationseeking practices. The purpose of this research is to investigate the information needs and searching behaviors of researchers, and their implications for electronic literature search tools. We conducted mixed-method case studies involving interviews, diary logs, and observations of computer scientists followed by a web-based survey to validate our findings. The results show that computer science resea… Show more

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Cited by 48 publications
(57 citation statements)
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References 21 publications
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“…Users are perhaps guided by convenience rather than strategic considerations when choosing their search system. In fact, it was due to its great ease of use and performance in informational and exploratory searches that Google Scholar emerged as the number one go‐to academic search engine for most academic users . Students in particular utilize Google as a main source in information seeking .…”
Section: Discussionmentioning
confidence: 99%
“…Users are perhaps guided by convenience rather than strategic considerations when choosing their search system. In fact, it was due to its great ease of use and performance in informational and exploratory searches that Google Scholar emerged as the number one go‐to academic search engine for most academic users . Students in particular utilize Google as a main source in information seeking .…”
Section: Discussionmentioning
confidence: 99%
“…To recruit participants we posted advertisements in the Computer Science (CS) department mailing list of the local universities. We selected researchers from the CS domain because they are the most active users of electronic bibliographic tools and web search is a major part of their daily work (Athukorala et al., ). Thirty‐two CS researchers participated in the study.…”
Section: Methodsmentioning
confidence: 99%
“…We refer to such SERPs as having narrow subjective result specificity. Generally, for such a narrow search query, a novice user would benefit from more introductory material about the topic such as Wikipedia articles, book chapters, and literature reviews as well as more guided support through the specific information space [3].…”
Section: Subject Results Specificity Prediction Modelmentioning
confidence: 99%
“…The findings suggested that exploring unfamiliar research areas was one of the most common purposes of scientific information seeking and it is the most difficult task to perform. We published these useful findings [3] and it inspired us to focus on scientific information seeking tasks.…”
Section: Problem Identificationmentioning
confidence: 98%
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