This paper reports a meta-analysis of the effects of search experience on search performance in terms of the recall measure in controlled IR user experiments. More specifically, this study was designed to answer the research question: how large is the average effect size in the set of studies included in the meta-analysis? Search experience, a manifestation of users' search skills accumulated through their interactions with IR systems over time, has been identified as an important research variable in user search behaviours. The participants included in primary studies were end-users or intermediaries recruited for IR user experiments. The results of the meta-analysis (N = 8) using a fixed-effects model showed that search experience has an overall positive effect on the recall measure (weighted mean correlation coefficient r = 0.04, 95% confidence interval was -0.01 to 0.09). Our findings may provide implications for designing adaptive or personalized IR systems that take into account the contextual information at the user and interactional levels.
|Title of host publication||ADCS 2010|
|Place of Publication||Melbourne|
|Publisher||School of Computer Science and IT, RMIT University|
|Number of pages||6|
|Publication status||Published - 2010|
|Event||Australasian Document Computing Symposium - Melbourne, Australia|
Duration: 10 Dec 2010 → …
|Conference||Australasian Document Computing Symposium|
|Period||10/12/10 → …|
Liu, Y-H. (2010). A Meta-Analysis of the Effects of Search Experience on Search Performance in Terms of the Recall Measure in Controlled IR User Experiments. In ADCS 2010 (pp. 1-6). School of Computer Science and IT, RMIT University.