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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Revisiting User Information Needs in Aggregated Search</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Shanu Sushmita</string-name>
          <email>shanusushmita@ucla.edu</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Robert Villa</string-name>
          <email>r.villa@shef</email>
          <email>r.villa@sheffield.ac.uk</email>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Martin Halvey</string-name>
          <email>Martin.Halvey@gcu.ac.uk</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Mounia Lalmas</string-name>
          <email>mounia@acm.org</email>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Glasgow Caledonian, University</institution>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>University of California LA</institution>
          ,
          <country country="US">USA</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>University of Sheffield</institution>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>Yahoo! Labs Barcelona</institution>
        </aff>
      </contrib-group>
      <abstract>
        <p>Aggregated search interfaces are a common way to present web search results, mixing di erent types of results into one single result page. Although numerous e orts have been made to infer users' information needs in \standard" search, we know little about users' information needs within the context of aggregated search. This paper presents the outcomes of a survey of 117 respondents, investigating users' preferences for their type of search result (image, news, video) and their type of information need (informational, navigational and transactional). The survey reveals that users' result preferences di er based on their underlying information needs, suggesting that the taxonomy provided by Broder [1] requires updating to re ect user information needs in the context of aggregated search. For instance, respondents indicated a preference for diverse results (news and reviews about a particular software product) for navigational and transactional queries rather than a single result (the web page to download that software product).</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. INTRODUCTION AND BACKGROUND</title>
      <p>
        Aggregated search is the technique of integrating search
results from di erent verticals (e.g., web, image, video, news)
on a single search result page so that users can access the
increasingly diverse content available on the web.
Aggregated search systems aim to facilitate users' access to
\nonstandard" web results without having to perform separate
searches in the respective verticals, which are source speci c
sub-collections provided by search engines [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ].
      </p>
      <p>
        Throughout the evolution of web search, users' interaction
with search results has been studied by many to improve the
quality of the search results and the search experience.
Efforts were (and are still being) made to understand users'
information seeking process, based upon which several
taxonomies describing users' behaviours have been proposed [
        <xref ref-type="bibr" rid="ref1 ref10 ref11 ref16 ref5 ref6 ref9">1,
5, 6, 9, 10, 11, 16</xref>
        ].
      </p>
      <p>
        For instance, in 2002, Broder [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ] created a taxonomy of
Presented at EuroHCIR2012. Copyright c 2012 for the individual papers
by the papers’ authors. Copying permitted only for private and academic
purposes. This volume is published and copyrighted by its editors.
web search, classifying users' information needs into three
categories, namely, informational, navigational and
transactional. For navigational search, the immediate intent is
to reach a particular site (e.g., BBC Homepage); for
informational search, the intent is to acquire some information
likely to be contained in one or more web pages (e.g., global
warming); and nally, for transactional search, the intent
is to perform some web-mediated activity (e.g., download,
purchase).
      </p>
      <p>
        Others such as Lindley et al. [
        <xref ref-type="bibr" rid="ref16">16</xref>
        ] looked at why
people search or go online and identi ed ve main web
activities: respite, orienting, opportunistic use, purposeful use and
lean-back internet. An example of a respite activity is when
people use the web to take a break at work, or through a
mobile phone to occupy themselves while waiting. Similarly,
Chew et al. [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ] explored the contextual and behavioural
details of users' interaction with web-based images as they
occur in the course of everyday life, showing that users
interact with image results as these help creating connections
to other people and remote places, or re ecting on the past.
      </p>
      <p>
        While there is a substantial body of work on
understanding users' information needs and browsing activities in
\standard" search, far less is known about these within the context
of aggregated search. For instance, it is not clear if the
existing taxonomies on information needs for \standard" search
hold in an aggregated search scenario. In aggregated search,
search results may originate from di erent media (e.g.,
images, maps) or may be of di erent genres (e.g., news, blogs).
This may have an e ect on the way users interact with the
results, and a ect their preferences for the types of results. A
study in [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ] investigated the former, but the latter remains
largely unexplored. For instance, it is not known whether for
navigational queries, users prefer to view a speci c website,
as would be implied by [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]. A negative answer would mean
that a revisit of Broder's three-main-categories of
information needs is needed. Also, building an awareness of web
activities in aggregated search, which cut across domains,
media types and applications, can highlight important
details when designing for interactions with the web [
        <xref ref-type="bibr" rid="ref16">16</xref>
        ].
      </p>
      <p>
        The focus of this short paper is, therefore, two-fold: (1)
to investigate the preference of search results sought by the
users; and (2) to investigate the existing frameworks of web
activities within the context of aggregated search. For this
purpose, users' preferences for results of several media types
and genres are investigated. Furthermore, since Broder's
taxonomy has been heavily used (e.g. [
        <xref ref-type="bibr" rid="ref15 ref3 ref7 ref9">3, 7, 9, 15</xref>
        ]) we focus
on the now classic informational, navigational and
transactional categories. We nonetheless aim to extend this work
with other taxonomies (e.g., ODP1) in future work. This
paper makes the following contributions: (1) Investigates
users' preference for search results (media and genres) for
informational, navigational and transactional search tasks;
and (2) Provides empirical evidence to support the need for
updating the above three categories within the context of
aggregated search.
      </p>
      <p>We present the results of a survey that investigated users'
preferences for results of di erent media types and genres,
as answers to informational, navigational and transactional
queries.</p>
    </sec>
    <sec id="sec-2">
      <title>2. STUDY</title>
      <p>
        A survey containing sixteen questions (4 background
questions and 12 search task questions) was distributed on
various social networks. The survey allowed us to reach a large
and diverse enough number of users, and is a common way to
elicit user perceptions and preferences [
        <xref ref-type="bibr" rid="ref4 ref8">4, 8</xref>
        ]. A total of 117
respondents completed the survey, of which 60 were female
and 54 male; the remaining 3 did not disclose their gender.
The respondents' age varied between 20-59 years (mean 29).
Geographically, respondents were distributed across the US
and Canada (3%), Europe (34%), Asia (62%) and Africa
(1%). Most respondents were familiar with search engines
and used them frequently.
2.1
      </p>
    </sec>
    <sec id="sec-3">
      <title>Task</title>
      <p>The aim of the survey was to elicit users' preferences for
the types (media, genres) of search results for informational,
navigational and transactional search tasks. To this end,
we designed four search topics2 for each of these three
categories. The list of topics for each category is listed in Table 1.
In total, there were twelve questions for each respondent to
answer. The orders of the questions were rotated to
minimise ordering bias.</p>
      <p>We designed topics that could be understood universally
(e.g, global warming, checking emails, buying dvd,
software download). Furthermore, the topics were devised to t
the informational, navigational and transactional categories.
Therefore, we did not manipulate topics to suit speci c
media or genre. For instance, for the topic global warming,
some people may want to read the latest news about global
warming, some others may want to view pictures of melting
icebergs, while some others may want to watch a
documentary on global warming. Therefore this topic does not have
an implicit type intent (e.g. image) but requires the
gathering of information (informational search task) from many
web pages; it is expected that users will look for multiple
results to satisfy the corresponding information need.
However, it will depend on users which result types (image, news,
video, etc) they prefer to view { only news articles, few
pictures, or a combination of both.
2.2</p>
    </sec>
    <sec id="sec-4">
      <title>Procedure</title>
      <p>For each search topic, the respondents were given ve choices,
namely, web, news, image, video and other results3. The
re</p>
      <sec id="sec-4-1">
        <title>1http://www.dmoz.org/</title>
        <p>
          2A search topic describes a search task scenario. The
concept of a search task scenario was inspired from [
          <xref ref-type="bibr" rid="ref2">2</xref>
          ].
3The de nitions of these categories were not speci ed in the
instructions and were left open to respondents'
interpretation.
spondents were allowed to select as many options as they
desired. That is, they were allowed to select just `one' or
`all' options, and therefore were not forced to provide a
preference for all the choices listed. This allowed a more natural
selection of choices, and hence reduced any design bias. In
cases when the respondents selected more than one option,
they were asked to rank the choices, by providing \1st", \2nd"
......,\5th" preference for each choice. For instance, if image,
news and others were selected as choices, these had to be
ranked in order of preference (e.g., 1st preference - news,
2nd preference { image, 3rd preference { others).
        </p>
        <p>Figure 1, shows the screenshot of an example question
with the preference options. Next, the outcomes of the
survey are presented.
3.</p>
      </sec>
    </sec>
    <sec id="sec-5">
      <title>OUTCOMES</title>
      <p>As the data obtained from the survey was non-parametric,
we report medians and the interquartile range for the
preference scores. The results are reported in Table 2, which shows
the median rank of each vertical by information need.
Friedman tests were performed to estimate the signi cance of
preference for the results types, among and across the three
categories (navigational, informational and transactional).
Finally, multiple Wilcoxon-tests were run in the post-hoc
analyses while adjusting the p-values using the Bonferroni
method. The outcomes from the post-hoc pair wise
comparisons for navigational, informational and transactional
categories are shown in Tables 3, 4 and 5 respectively. Each
row in these tables indicates whether a particular result type
was preferred over each of the other result types.</p>
      <p>As can be seen in Table 2, most respondents indicated
the `web page' as the most preferred type of results, when</p>
      <sec id="sec-5-1">
        <title>Navigational Topics</title>
        <p>1. When you wish to book tickets with British Airways, which results would be useful for you?
2. When you wish to nd an address from yellow pages, which results would be useful for you?
3. When you wish to check courses of a University, which results would be useful for you?
4. When you wish to check your email (e.g, gmail, hotmail, msn, etc), which results would be useful for you?</p>
      </sec>
      <sec id="sec-5-2">
        <title>Informational Topics</title>
        <p>5. When you wish to learn about salsa dance, which results would be useful for you?
6. When you wish to gather information about global warming, which results would be useful for you?
7. When you wish to learn on how to make a pancake, which results would be useful for you?
8. When you wish to know about 2011 budget, and how it e ected farmers, which results would be useful for you?
Transactional Topics
9. When you wish to download a free software, which results would be useful for you?
10. When you wish to download a song for your iTunes library, which results would be useful for you?
11. When you wish to le a property complaint, which results would be useful for you?
12. When you wish to buy a DVD online, which results would be useful for you?
compared to the other four types (image, video, news and
others). The di erence was found to be signi cant for
navigational, informational, and transactional cases (rows 1-4
in Tables 3, 4 and 5 ); thus suggesting that \standard" web
results are the prime source of information sought by most
users. After web results, news was the second most
preferred type of results when compared to image, video and
others (6th row in Table 2). For the navigational category,
news results were signi cantly preferred over image, video
and others results (rows 6, 8 and 9 in Table 3). However,
video was equally preferred to news for informational and
transactional categories (row 8 in Tables 4 and 5).</p>
        <p>Finally, there is a trend for image and video results to
come third in preference from respondents for most
categories (4th and 5th rows in Table 2). However, post-hoc
analyses suggest a signi cant di erence of preference for
video and image over `other results' for all three categories
(rows 7 and 10 in Tables 3, 4 and 5). In addition, video
results were signi cantly preferred to image results for
informational and transactional cases (row 5 in Tables 4 and
5), while no signi cant di erence was observed for the
navigational case (row 5 in Table 3 ). Therefore, it is possible
that users may prefer image results instead of video results
in some cases, and video results in other cases. In addition,
image and video being the third preference indicates that
providing image and video results for all queries may not be
appreciated by users.</p>
        <p>In Tables 3 to 5, in only two occasions were the ranking
of result types not signi cantly di erent: image-video for
navigational, and news-video for informational information
needs. This indicates that for navigational needs, neither
image or video results are judged as important to users,
backing up the results in Table 2, where both are ranked
bottom. For informational information needs, both news
and video were judged equally important to the search tasks,
second only to web (Table 2).</p>
      </sec>
    </sec>
    <sec id="sec-6">
      <title>DISCUSSION</title>
      <p>The aim of our study was to investigate, via a survey, users'
results preference for navigational, informational, and
transactional search topics.</p>
      <p>
        Overall, three key observations can be made from this
survey. First, for all query categories, web results continue to
be the prime source of information sought by users { 90%
for navigational, 54% for informational and 85% for
transactional { suggesting that for an aggregated search result
page, web results should always be provided. This echoes
the ndings of [
        <xref ref-type="bibr" rid="ref14">14</xref>
        ] where the importance of web results for
aggregated result pages was demonstrated through the
mining of query logs.
      </p>
      <p>
        Second, there appears to be a di erence between the
result preferences for navigational and transactional queries.
From Broder [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ], the corresponding information needs for
these categories were identi ed to be focused (i.e., speci c
website, download, etc). In contrast, our study suggests that
users also prefer to view other results, and not just one (\to
the point") result, or one type of result. More precisely, for
the navigational search topics, in addition to web results,
respondents also indicated a preference for news and video
results. This may be due to the fact that, since an
aggregated result page is often provided for most queries by
modern search engines4, users are exposed to diverse results and
as a consequence, results other than web have now gained
prominence. However, whether providing diverse results for
informational and transactional information needs facilitates
task completion, and/or increases user satisfaction, requires
further investigation.
      </p>
      <p>
        Third, users' preferences for the `type' of results vary with
the query category. For instance, for navigational and
transactional search topics, web and news results seem to be
preferred. The preference is more mixed for informational
search topics, with image results least preferred. In itself,
it is not surprising that users' preferences vary with query
categories. However, concrete knowledge regarding which
`types' of sought results are preferred would allow for more
appropriate aggregation of the di erent verticals under
consideration. Similar investigations were carried out in [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ]
by Sushmita et al. where, associations between query
classi cations (e.g., arts, health, etc) and result types were
indeed identi ed. Such knowledge may then be used by search
systems, to present particular types of result for di erent
queries, for example, a system may not present (or demote
in importance) image results in response to an informational
query.
      </p>
      <sec id="sec-6-1">
        <title>4http://www.slideshare.net/rankabove/com-score</title>
        <p>rankabove- nal</p>
        <p>
          We presented the analysis of a survey of 117 respondents'
preferences regarding the di erent types of results for
navigational, informational, and transactional information needs.
Although small in terms of the number of users and
acknowledging the limitation of an online survey, interesting insights
emerged from our investigation. The outcomes of the
survey support the aggregated search paradigm, showing that
users' preferences are for a diverse range of result types. The
analysis also indicates a need to revisit the de nition of the
three categories of information needs [
          <xref ref-type="bibr" rid="ref1">1</xref>
          ], within the context
of aggregated search. This work initiates two future research
questions: (1) What information needs exist within the
context of aggregated search? and (2) How to identify suitable
results satisfying those information needs?
6.
        </p>
      </sec>
    </sec>
  </body>
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