The researchers sought to discover the cognitive processes underlying searching. They examined the search habits of 72 participants while conducting a total of 426 searching tasks. They found that search engines are primarily used for fact checking users' own internal knowledge, meaning that they are part of the learning process rather than simply a source for information. They also found that people's learning styles can affect how they use search engines.
"Our results suggest the view of Web searchers having simple information needs may be incorrect," said Jim Jansen, associate professor of information sciences and technology. "Instead, we discovered that users applied simple searching expressions to support their higher-level information needs."
Jansen said the results of this study provide useful information about how search engine use has evolved over the past decade and clues about how to design better search engines to address users' learning needs in the future. He and Brian Smith, associate professor information sciences and technology and Danielle Booth, former Penn State student, published their findings in the November issue of Information Processing and Management.
"If we can incorporate cognitive, affective and situational aspects of a person, there is the potential to really move search performance forward," Jansen said. "At its core, we are getting to the motivational elements of search."
National Science Foundation and the Air Force Office of Scientific Research funded this research.
A'ndrea Elyse Messer | EurekAlert!
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Material defects in end products can quickly result in failures in many areas of industry, and have a massive impact on the safe use of their products. This is why, in the field of quality assurance, intelligent, nondestructive sensor systems play a key role. They allow testing components and parts in a rapid and cost-efficient manner without destroying the actual product or changing its surface. Experts from the Fraunhofer IZFP in Saarbrücken will be presenting two exhibits at the Blechexpo in Stuttgart from 7–10 November 2017 that allow fast, reliable, and automated characterization of materials and detection of defects (Hall 5, Booth 5306).
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