Paper Info
Title
The impact of task phrasing on the choice of search keywords and on the search process and success
Abstract
This experiment studied the impact of various task phrasings on the search process. Eighty-eight searchers performed four web search tasks prescribed by the researchers. Each task was linked to an existing target web page, containing a piece of text that served as the basis for the task. A matching phrasing was a task whose wording matched the text of the target page. A nonmatching phrasing was synonymous with the matching phrasing, but had no match with the target page. Searchers received tasks for both types in English and in Hebrew. The search process was logged. The findings confirm that task phrasing shapes the search process and outcome, and also user satisfaction. Each search stage—retrieval of the target page, visiting the target page, and finding the target answer—was associated with different phenomena; for example, target page retrieval was negatively affected by persistence in search patterns (e.g., use of phrases), user-originated keywords, shorter queries, and omitting key keywords from the queries. Searchers were easily driven away from the top-ranked target pages by lower-ranked pages with title tags matching the queries. Some searchers created consistently longer queries than other searchers, regardless of the task length. Several consistent behavior patterns that characterized the Hebrew language were uncovered, including the use of keyword modifications (replacing infinitive forms with nouns), omitting prefixes and articles, and preferences for the common language. The success self-assessment also depended on whether the wording of the answer matched the task phrasing. © 2012 Wiley Periodicals, Inc.
Year
DOI
Venue
2012
10.1002/asi.22654
JASIST
Keywords
Field
DocType
task length,existing target web page,task phrasing,search keyword,target page retrieval,target answer,top-ranked target page,matching phrasing,search process,various task phrasing,target page,information retrieval
Data mining,Web page,Information retrieval,Computer science,Noun,Hebrew,Prefix,Infinitive,Query formulation
Journal
Volume
Issue
ISSN
63
10
1532-2882
Citations 
PageRank 
References 
5
0.41
50
Authors
2
Name
Order
Citations
PageRank
Elena Barsky190.80
Judit Bar-Ilan21638124.05