Difference between revisions of "Moore2013"

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(Created page with "{{BibEntry |BibType=INCOLLECTION |Author(s)=Robert J. Moore |Title=A Name Is Worth a Thousand Pictures: Referential Practice in Human Interactions with Internet Search E...")
 
 
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{{BibEntry
 
{{BibEntry
 
|BibType=INCOLLECTION
 
|BibType=INCOLLECTION
|Author(s)=Robert J. Moore
+
|Author(s)=Robert J. Moore
|Title=A Name Is Worth a Thousand Pictures: Referential Practice in Human Interactions
+
|Title=A name is worth a thousand pictures: referential practice in human interactions with Internet search engines
with Internet Search  Engines
+
|Editor(s)=Amy Neustein; Judith A. Markowitz
|Editor(s)=A. Neustein; J.A. Markowitz;
 
 
|Tag(s)=EMCA; Search engines; Web search; Referential practices; Computer interaction analysis
 
|Tag(s)=EMCA; Search engines; Web search; Referential practices; Computer interaction analysis
 
|Key=Moore2013
 
|Key=Moore2013
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|Chapter=10
 
|Chapter=10
 
|Address=New York
 
|Address=New York
|Booktitle=Mobile Speech and Advanced Natural Language Solutions
+
|Booktitle=Mobile Speech and Advanced Natural Language Solutions
|Pages=259-286
+
|Pages=259–286
 +
|URL=https://link.springer.com/chapter/10.1007%2F978-1-4614-6018-3_10
 
|DOI=10.1007/978-1-4614-6018-3_10
 
|DOI=10.1007/978-1-4614-6018-3_10
|Abstract=Abstract    Today’s Internet search engines are highly effective in returning relevant  
+
|Abstract=Today’s Internet search engines are highly effective in returning relevant web pages to users in fractions of seconds. Yet interactions with search engines are far from trouble free. When interacting with search engines, users experience a variety of troubles, which are still poorly understood. One particular kind of trouble stems from users’ prior knowledge about entities of interest, particularly regarding their names. This study examines how referential practice is organized in the context of search-engine interactions. It finds that, as in conversation, users employ naming in their queries to refer to entities if they can. However, when they do not know the name, or a name fails, they attempt a two-stage search: first they search for the entity name, using generic descriptions combined with image search, and second, if the name is found, they formulate subsequent queries using that name. Computer interaction analysis is used to reveal formal features of users’ referential practices from recordings of screen video with eye tracking and design recommendations for search engines are offered.
web pages to users in fractions of seconds. Yet interactions with search engines are  
 
far from trouble free. When interacting with search engines, users experience a  
 
variety of troubles, which are still poorly understood. One particular kind of trouble  
 
stems from users’ prior knowledge about entities of interest, particularly regarding  
 
their names. This study examines how referential practice is organized in the con-
 
text of search-engine interactions. It fi nds that, as in conversation, users employ  
 
  naming in their queries to refer to entities if they can. However, when they do not  
 
know the name, or a name fails, they attempt a   two-stage search:   fi rst  they search  
 
for the entity name, using   generic descriptions combined with   image search , and  
 
second, if the name is found, they formulate subsequent queries using that name.  
 
Computer interaction analysis is used to reveal formal features of users’ referential  
 
practices from recordings of screen video with eye tracking and design recommen-
 
dations for search engines are offered.
 
 
}}
 
}}

Latest revision as of 06:47, 4 December 2019

Moore2013
BibType INCOLLECTION
Key Moore2013
Author(s) Robert J. Moore
Title A name is worth a thousand pictures: referential practice in human interactions with Internet search engines
Editor(s) Amy Neustein, Judith A. Markowitz
Tag(s) EMCA, Search engines, Web search, Referential practices, Computer interaction analysis
Publisher Springer
Year 2013
Language English
City New York
Month
Journal
Volume
Number
Pages 259–286
URL Link
DOI 10.1007/978-1-4614-6018-3_10
ISBN
Organization
Institution
School
Type
Edition
Series
Howpublished
Book title Mobile Speech and Advanced Natural Language Solutions
Chapter 10

Download BibTex

Abstract

Today’s Internet search engines are highly effective in returning relevant web pages to users in fractions of seconds. Yet interactions with search engines are far from trouble free. When interacting with search engines, users experience a variety of troubles, which are still poorly understood. One particular kind of trouble stems from users’ prior knowledge about entities of interest, particularly regarding their names. This study examines how referential practice is organized in the context of search-engine interactions. It finds that, as in conversation, users employ naming in their queries to refer to entities if they can. However, when they do not know the name, or a name fails, they attempt a two-stage search: first they search for the entity name, using generic descriptions combined with image search, and second, if the name is found, they formulate subsequent queries using that name. Computer interaction analysis is used to reveal formal features of users’ referential practices from recordings of screen video with eye tracking and design recommendations for search engines are offered.

Notes