Search (2 results, page 1 of 1)

  • × author_ss:"Xia, L."
  • × theme_ss:"Benutzerstudien"
  1. Marchionini, G.; Xia, L.; Dwiggins, S.: Efforts of search and subject expertise on information seeking in a hypertext environment (1990) 0.01
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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
  2. Lorigo, L.; Haridasan, M.; Brynjarsdóttir, H.; Xia, L.; Joachims, T.; Gay, G.; Granka, L.; Pellacini, F.; Pan, B.: Eye tracking and online search : lessons learned and challenges ahead (2008) 0.01
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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.