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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>INEX iTrack Revisited: Exploring the Potential for Re-use</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Nils Pharo</string-name>
          <email>nilsp@oslomet.no</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Oslo Metropolitan University Oslo</institution>
          ,
          <country country="NO">Norway</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2019</year>
      </pub-date>
      <volume>6203</volume>
      <fpage>303</fpage>
      <lpage>311</lpage>
      <abstract>
        <p>This paper presents the experiences from the INEX iTrack experiments conducted over a period of seven years. The purpose is to present the infrastructure of the experiments with the aim to identify its potential for re-use in new experiments. The paper discusses the terminology, research design, methodology, resources and reporting from the Inex iTrack in light of this.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>INTRODUCTION</title>
      <p>
        The Initiative for Evaluation of XML retrieval (INEX) started in 2002
as a set of experiments following the Cranfield model. The purpose
of INEX was initially to test the potential of XML elements as items
for retrieval, as an alternative to full text documents, document parts
and document passages. The INEX interactive track (iTrack) was
run as a subtrack from 2004 to 2010 [
        <xref ref-type="bibr" rid="ref10 ref11 ref12 ref3 ref5 ref8">3, 5, 8, 10–12</xref>
        ], with the goal to
study how end-users query, interact with, and evaluate documents
and document parts. The iTrack was organized in a distributed
way. Participating groups from universities and other research
institutions across the world collected data following a standardised
procedure for data collection in an experimental setting. In this
way, it was possible to collect rather large data sets of user-system
interaction.
      </p>
      <p>In this paper we shall investigate the methodological approach
used in INEX iTrack. The intention is to explore its potential for
re-use and the experience that can be of value for establishing a
common methodology for interactive information retrieval (IR)
experiments. The paper is structured in the following way; the
ifrst part contains the method, we present iTrack infrastructure,
i.e. the terminology, research design, methodology, resources and
reporting used. Thereafter follows a discussion of challenges, before
the final part with summary and conclusions.</p>
    </sec>
    <sec id="sec-2">
      <title>METHOD</title>
      <p>In order to identify the infrastructure of the INEX iTrack we
investigate the reports published in the proceedings from 2004 to 2010.
The structure of the iTrack reports was kept fairly consistent across</p>
    </sec>
    <sec id="sec-3">
      <title>THE INEX ITRACK INFRASTRUCTURE</title>
    </sec>
    <sec id="sec-4">
      <title>Terminology</title>
      <p>During the iTrack years, the terminology used went through some
changes. In particular, the first year (2004) stands out with an
idiosyncratic terminology. Table 1 shows the distribution of central
terms used over the period, compared according to their intended
use, i.e. the concept (infrastructure element) they represent. This
means, e.g., that from 2005 to 2010 the term "document corpus" was
used consistently to refer to the collection of documents used in
the experiments, whereas the term "Tasks" was used consistently
from 2008 to 2010.</p>
      <p>Table 2 provides an overview of central concepts, definitions, and
the terminology where term use have changed over time. This does
not represent an exhaustive overview, only concepts used over
several years of experiments are included.</p>
      <p>Although term use has changed over time, it is easy to identify
the common infrastructure elements from the proceedings report.
Most confusing is the diferent uses of the term "Task", which was
used to refer to diferent experimental tasks in 2005 and 2006. In
2006, e.g., three diferent tasks were described as "Task A - Common
Baseline System with IEEE Collection", "Task B - Participation with
Own Element Retrieval System" and "Task C - Searching the Lonely
Planet Collection", respectively.
3.2</p>
    </sec>
    <sec id="sec-5">
      <title>Research design</title>
      <p>The research design used in the iTrack experiments has been stable.
A generic representation of the experimental procedure can be
described in the following way:
Concept Definition Distribution
Task The task(s) assigned to Topics (2004),
participants, what they tasks/topics (2005),
are asked to find infor- search tasks (2006),
mation about and its tasks (2008-2010)
context
Search sys- The system(s) designed System (2004, 2005),
tem to be used in the exper- search system
(2006iments 2010)
Document The documents search- Document corpus
(2005corpus able in the search sys- 2010)</p>
      <p>tem
Experimental The procedure used for Experimental protocol
procedure performing the experi- (2004), experimental
ment procedure (2005-2010)
(1) General questionnaire. The participant fills out a
questionnaire on background knowledge, demographic data etc.
Questionnaires were on paper (2004-2006) or online (2008-2010)
(2) Training task. The participant is given a training task to
introduce them to the system’s design and functionalities.
(3) Task 1
(a) Task specific questionnaire. The participant fills out a
questionnaire on task specific knowledge
(b) Search session. The participant interacts with the system
in order to perform the task.
(c) Post task questionnaire. The participant fills out
questionnaires related to the experience with the system, dificulty
in solving the task etc.
(4) Additional tasks performed as described in step 3.
(5) Post experiment questionnaire. The participant fills out a
questionnaire to provide feedback about the search system.
In addition to a common experimental procedure, the participating
groups had the opportunity to perform their own experiments. In
2005 and 2006 it was explicitly organized so that research groups
could use their own systems and compare their results to the system
developed for the experiments as a baseline.</p>
      <p>
        Very little analysis was performed as part of the iTrack work.
Studies performed on iTrack data and reported in journal articles and
conference proceedings papers have used transaction log analysis,
statistical analysis of questionnaire data, screen capturing and
eyetracking. The studies have, e.g., investigated users preference with
respect to element granularity [
        <xref ref-type="bibr" rid="ref2 ref4 ref7">2, 4, 7</xref>
        ] and the efect of task types
on preferred elements [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ].
3.3
      </p>
    </sec>
    <sec id="sec-6">
      <title>Methodology</title>
      <p>
        The initial purpose of the iTrack was twofold: "to investigate the
behaviour of users when interacting with components of XML
documents, and secondly to investigate and develop approaches for
XML retrieval which are efective in user-based environments". In
the first two years, the iTrack was closely connected with the INEX
ad hoc-track, using the ad hoc-track’s document corpus and
topics/tasks. The tasks have been formulated as simulated work task
situations [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ] during the whole period. During the years, changes in
methodology include changes in: document corpus, search systems,
task types, relevance scales and analysis. Also the overall research
questions have changed. Some examples of iTrack research
questions are:
• What element types / level of granularity do searchers chose
to see? In what sequence?
• How do users make use of document structure
– in making relevance judgements?
– in choosing level of granulaity to view?
• What level of element granularity constitutes the basis of a
relevance decision? With what degree of certainty?
• How do factors such as topic knowledge influence
– choice of element granularity?
– number of elements viewed / amount read?
– relevance judgements?
3.3.1 Document corpus. In 2004 and 2005 the corpus was a
collection of journal articles published by IEEE (also used in other INEX
tracks), in addition, a collection of Lonely Planet travel guides was
used in 2005. In 2006 and 2008 the Wikipedia collection,
consisting of more than 650 000 XML-formatted encyclopaedic articles,
was used in the iTrack as well as other INEX tracks. In 2009 and
2010 a collection of Amazon and Librarything book reviews, was
specifically collected for the iTrack. This collection has later been
adopted by CLEF’s Social Book Search Lab.
3.3.2 Search system. Several search systems were developed by
the iTrack organizers. In 2004 and 2005 the HyREX retrieval
engine 1 was used as backend in the baseline system. In 2006 two
diferent backends were used to test the diference between passage
and element retrieval, CSIRO’s Panoptic/Funnelback platform as
passage retrieval backend and TopX 2 from Max Planck Institute
for Informatics for the element retrieval backend. In 2008 and 2009
a retrieval system built within the Dafodil framework developed
at the University of Duisburg-Essen 3) was used. In 2010 Dafodil
was replaced with a system based on the ezDL framework 4. The
system interface design was quite consistent throughout the whole
period. It was built within the Dafodil framework. In 2009-2010
the design consisted of three main components (see Figure 1): a
query panel, a result list, and a window showing the details of the
item retrieved from the result list. Previous years the document
was shown in a separate interface.
3.3.3 Task types. Table 3 contains an overview of iTrack task
categories. The iTrack experiments’ task categories typically have
changed from year to year with categories difering in complexity.
In particular the 2006 tasks should be noted, where tasks were
twodimensional combining type and structure. This is an example of a
2006 fact-finding hierarchical task:
"A friend has just sent an email from an Internet café in the
southern USA where she is on a hiking trip. She tells you that she has
1The system can be downloaded from
http://www.is.informatik.uniduisburg.de/projects/hyrex/.
2Only the TopX backend is available for download: http://topx.sourceforge.net/.
3more details are available on
http://www.is.informatik.uniduisburg.de/projects/dafodil/index.html
4More information on ezDL can be found on
http://www.is.informatik.uniduisburg.de/projects/ezdl/.
just stepped into an anthill of small red ants and has a large number
of painful bites on her leg. She wants to know what species of ants
they are likely to be, how dangerous they are and what she can do
about the bites. What will you tell her?"
The task types used in the 2010 iTrack was designed to simulate
searchers at diferent stages of the search process, as defined by
Kuhlthau. Below is an example of a 2010 explorative task:
"You are at an early stage of working on an assignment, and have
decided to start exploring the literature of your topic. Your initial
idea has led to one of the following three research needs:
(1) Find trustworthy books discussing the conspiracy theories
which developed after the 9/11 terrorist attacks in New York.
(2) Find controversial books discussing the climate change and
whether it is man-made or not.
(3) Find highly acclaimed novels that treat issues related to racial
discrimination."
Semi self-selected tasks were used in 2009 and 2010. The
participants were asked to "[t]ry to find books about a specific topic or of
a certain type, but do not look for a specific title you already know."
3.3.4 Relevance scales. A variety of relevance scales have been
used in the iTrack. The complexity of the scales have varied a lot.
In 2005, 2009 and 2010 a simple trinary relevance scale was used,
the searchers were asked to assess elements as "relevant", "partially
relevant" or "not relevant". In 2004 a ten point relevance scale was
used:
      </p>
      <sec id="sec-6-1">
        <title>A Very useful and Very specific</title>
        <p>B Very useful and Fairly specific
C Very useful and Marginally specific
D Fairly useful and Very specific
E Fairly useful and Fairly specific
F Fairly useful and Marginally specific
G Marginally useful and Very specific
H Marginally useful and Fairly specific
I Marginally useful and Marginally specific
J Contains no relevant information
2004
2005
2006
2008
2009
2010</p>
      </sec>
      <sec id="sec-6-2">
        <title>Background "Find background information about..." Comparison "Find diferences between..."</title>
        <p>General/Challenging The "general"
challenges were designed
as simpler than the
"more complex"
challenging tasks
Types: Decision mak- The tasks were
coming; Fact finding; Infor- bined on two
dimenmation gathering Struc- sions: type and
structure: Hierarchical; Par- ture.
allel
Fact finding/Research</p>
        <p>The tasks were
designed to represent
information needs
typical for Wikipedia
users, finding facts,
such as the "biggest
airport" or perform
research to write a
paper.</p>
        <p>Broad/Narrow/Semi Broad tasks represented
self-selected needs that lead to
thematic exploration.
Narrow tasks represented
relatively narrow
topical information needs.</p>
        <p>Explorative/Data gath- The tasks were
deering/Semi self-selected signed to represent
diferent stages in
information seeking
processes.</p>
        <p>Table 3: iTrack task categories
In 2005 the author noted concerns that the 2004 scale “was far too
complex for the test persons to comprehend”, thus choosing the
simple scale in 2005. In 2006 and 2008 a two-dimensional scale with
ifve possible scores was used, with the following definitions:
Relevant, but too broad, contains relevant information, but also a
substantial amount of other information. Relevant, contains highly
relevant information, and is just the right size to be
understandable. Relevant, but too narrow, contains relevant information,
but needs more context to be understood. Partially relevant, has
enough context to be understandable, but contains only partially
relevant information. Not relevant, does not contain any relevant
information that is useful for solving the task.
3.3.5 Analysis methods. iTrack data analysis has been performed
using a combination of transaction logs and questionnaire data.
Studies have been performed investigating the types of transactions
taking place, typical transaction patterns, and factors influencing
transaction patterns.</p>
      </sec>
    </sec>
    <sec id="sec-7">
      <title>3.4 Resources</title>
      <p>The INEX iTrack evolved from 2004 to 2010. In the first years, it
complemented the research goals of the ad hoc-track, re-using topics,
with some modifications, from the ad hoc-track, with the intention
to identify how end-user react to element-based IR systems. The
software used for the search system, which was developed at the
University of Duisburg-Essen, gradually developed and interface
design was kept consistent. Questionnaires were also kept fairly
consistent, addressing the same background factors from year to
year.</p>
    </sec>
    <sec id="sec-8">
      <title>3.5 Reporting</title>
      <p>The iTracks proceeding reports document the study design. The
software is documented at the web sites. The questionnaires are not
well documented. The biggest issue is the availability of transaction
logs and questionnaire data. These are not openly available at the
time of writing. The intention of the iTrack was that the data should
be available only to the research groups for a limited period and
then become available for others upon request. Unfortunately, the
iTrack web sites are no longer available, which leaves us with the
track reports as the main oficial documentation.</p>
    </sec>
    <sec id="sec-9">
      <title>4 DISCUSSION</title>
      <p>The experiences from the INEX iTrack have been manifold. With
the collaborative efort of several research groups collecting data in
a standardized manner, the iTrack resulted in large interactive IR
datasets. The maximum number of participating research groups
were 11 (in 2004 and 2005), with 119 searchers taking part in the
2005 experiment. The data can be compared across countries and, to
a certain degree, across diferent user groups (although the majority
of participants have, however, been students in computer science
and library and information science). In addition, rich background
data on many searchers have been collected.</p>
      <p>
        The major challenges of the experiments are the design of tasks.
These should be relevant for the participants and tailored following
Borlund’s simulated work task situation method [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]. This can be
done either by agreeing upon a very specific user group to collect
participants from or by making very generic tasks. To design
realistic experiments we should also take into account that today’s
information searchers search all the time, in a fragmented way and
on various platforms.
      </p>
      <p>Other challenges include the identification of factors that influence
interaction. We need to be able to identify the degree in which we
can make valid analysis based on the data.</p>
      <p>Specific challenges related to re-use and data sharing in interactive
IR include establishing standardized ways of documenting
experiments, which is what the BIIRRR workshop addresses. It is also
necessary to establish a forum for discussions and coordination of
IIR experiment eforts</p>
    </sec>
    <sec id="sec-10">
      <title>5 SUMMARY AND FUTURE WORK</title>
      <p>The INEX interactive track organized collaborative interactive
information retrieval experiments from 2004 to 2010. In all, the iTrack
initiated six rounds of experiments with changes in tasks,
collections and search systems. The experiments resulted in data in the
form of transaction logs and questionnaires. All experiments were
documented in the INEX proceedings.</p>
      <p>Although experiments evolved throughout the period, with
significant impact on elements such as task types and relevance scales,
the documentation is fairly consistent. The data are, however, at
present not publicly available and the systems that were used are
only partially available. This raises the following questions and
challenges for securing re-use of Inex iTrack experiments, which
will also be of value for resuse of interactive IR experiments in
general:
• the need for a data repository for preservation of research
designs, including transaction logs and questionnaires along
with code books and necessary documentation for re-use
• a common repository for document corpuses and search
systems
• a discussion on the need for standardized questions in
questionnaires in order to compare across experiments</p>
    </sec>
    <sec id="sec-11">
      <title>6 ACKNOWLEDGEMENTS</title>
      <p>I would like to thank Norbert Fuhr and Thomas Beckers for valuable
information about the current status of the iTrack systems and data.
Workshop on Barriers to Interactive IR Resources Re-use at the ACM SIGIR Conference on Human Information Interaction and Retrieval
INEX iTrack Revisited: Exploring the Potential for Re-use</p>
    </sec>
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