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@PHDTHESIS{Franken:659882,
author = {Franken, Sebastian},
othercontributors = {Prinz, Wolfgang and Jarke, Matthias and Herrmann, Thomas},
title = {{S}upporting asynchronous, discontinuous, collaborative,
complex search tasks by the visualization of search trails},
school = {RWTH Aachen},
type = {Dissertation},
address = {Aachen},
reportid = {RWTH-2016-05020},
pages = {1 Online-Ressource (XI, 316 Seiten) : Illustrationen,
Diagramme},
year = {2016},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University; Dissertation, RWTH Aachen, 2016},
abstract = {To date, complex search tasks lack in support when it comes
to asynchronous and discontinuous search in individual and
collaborative search scenarios. Examples for complex search
tasks are the planning of a family holiday trip or
scientific research: These search tasks have in common that
the overall result is composed of individual partial
results, which strongly depend on the searchers’ personal
preferences and want to be generated collaboratively.
Especially when these web search tasks happen in an
asynchronous or discontinuous way, current solutions provide
only limited help. This thesis answers the research question
‘Can search trails provide support for complex web search
and how should tool support look like?’. To achieve this,
I develop a novel solution for supporting asynchronous,
discontinuous, collaborative, complex web search tasks. I
achieve this by implementing the web browser extension
‘SearchTrails’ which visualizes the user’s web search
behavior as a search trail, visualized as a force-directed
graph. The search trail resembles the course of the user’s
web search activities, while the system 'SearchTrails'
allows storing and exchange of the search process and its
results. This way, saved search trails can be recreated by
the users themselves, they can be exchanged between
collaborating searchers and extended. My approach goes
beyond existing approaches as it values the user’s
individual search trail above generalized recommendations.
Search trails as collaboration artifacts enable direct
collaboration between users and provide an unfiltered
insight where the collaborating searcher has searched
before, and where results have been found. I show the
effectivity and efficiency of my developed approach in two
user studies. The first user study qualitatively shows the
effectiveness of the developed approach, while the second
user study quantitatively shows its efficiency. The second
user study especially focuses on collaborative search
scenarios and shows the impact of the concept of search
trails on the quality of the collaborative search process
and its search results. Based on the findings from the user
studies, the main research question can be answered
positively.},
cin = {121810 / 123220 / 120000},
ddc = {004},
cid = {$I:(DE-82)121810_20140620$ / $I:(DE-82)123220_20140620$ /
$I:(DE-82)120000_20140620$},
typ = {PUB:(DE-HGF)11},
urn = {urn:nbn:de:hbz:82-rwth-2016-050201},
url = {https://publications.rwth-aachen.de/record/659882},
}
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