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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>The potential of Recall and Precision as interface design parameters for information retrieval systems situated in everyday environments</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Ayman Moghnieh</string-name>
          <email>ayman.moghnie@upf.edu</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Information Retrieval, Human-Information Interaction, Situated</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Josep Blat</string-name>
          <email>josep.blat@upf.edu</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Interfaces</institution>
          ,
          <addr-line>Interface and Interaction Design</addr-line>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Universitat Pompeu Fabra</institution>
          ,
          <addr-line>C/Tanger 122-140, E-08018, Barcelona</addr-line>
          ,
          <country country="ES">Spain</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>In this paper, we investigate ways for a tighter integration of IR and HCI in new urban contexts, as HCI expands its reach outside the workplace towards environments where efficiency and performance no longer constitute the backbone of interaction requirements. In particular, we propose to use Recall and Precision as design parameters to describe the information settings and performance of situated interfaces acting as retrieval systems in these environments. To explore this notion, we follow an inductive design research process by which different prototypes are designed, developed, and evaluated. Our experience shows that Recall and Precision, as design parameters, help to reflect the information requirements onto the interface design, and contribute to adapting IR to the contemporary challenges it faces, although more work is needed to consolidate its role vis-à-vis the growing ubiquity of computer technologies. H.5.2 User Interfaces.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>Categories and Subject Descriptors</title>
    </sec>
    <sec id="sec-2">
      <title>1. INTRODUCTION</title>
      <p>As computer technologies become more ubiquitous and versatile,
and get further integrated in human environments, several genres
of situated information interfaces (e.g. interactive peripheral
displays, ambient displays, and interactive surfaces) are starting to
assume a mediating role between people and digital information
spaces in different environments. From an HCI perspective, these
situated interfaces, primarily found in public and semi-public
environments such as malls, public transportation, building
Copyright © 2011 for the individual papers by the papers’
authors. Copying permitted only for private and academic
purposes. This volume is published and copyrighted by the
editors of euroHCIR2011.</p>
      <p>
        Currently, two metrics (Recall and Precision) are used to assess
the performance of IR systems in response to user queries [
        <xref ref-type="bibr" rid="ref2">3</xref>
        ].
Recall is the fraction of retrieved information elements from the
entire existing set of elements that are relevant to the user query in
the information space. Precision is the fraction of retrieved
elements found relevant with respect to the user query, over the
entire set of retrieved elements. However, the query as a
middleman between humans and information spaces goes against
the transparent design of situated interfaces that support a direct
interaction with information spaces. In addition, the information
spaces hosted by situated interfaces are usually predetermined or
pre-queried in accordance with the specific interests of potential
users and the characteristics or nature of the environments where
the hosting interfaces are situated. Instead of querying, the explicit
momentarily needs of users are answered by direct interaction
with the visualized information. This superlatively converts the
relevance of the displayed information to the user interests from a
performance factor to a design issue.
      </p>
      <p>Therefore, we argue that the definition of Recall and Precision can
be loosened or reinterpreted to respectively describe the quantity
of retrieved information elements and their visual diversity as
displayed on the interface, since relevance is no longer a
performance factor from an HCI stance. These two metrics can
consequently act as parameters that bind the design and
performance of situated interfaces as retrieval systems to the
informational expectations of users, by controlling the amount and
diversity of visualized information in order to maximize the
transparency of their designs to support a direct
humaninformation interaction.</p>
      <p>In order to explore this idea further, we followed a line of
inductive design research by conceptualizing, designing, and
evaluating experimental prototypes. We first introduce two sets of
prototypes devised to understand how users perceive the quantity
and visible diversity of information objects. We then define
parameterization scales for Recall and Precision based on these
experiments. In order to develop a thoughtful understanding of
how Recall and Precision, which we will consecutively refer to as
R and P, can act as design parameters for situated interfaces, we
use them in the analysis, design, and evaluation of five different
situated interfaces. Next, we investigate how these two parameters
can be dynamically controlled by users through the design of two
interactive interfaces for searching and browsing news articles.
We conclude by assessing our experience and discuss the viability
and implications of our approach.</p>
    </sec>
    <sec id="sec-3">
      <title>2. RECALL AND PRECISION FROM A</title>
    </sec>
    <sec id="sec-4">
      <title>PERCEPTUAL STANCE</title>
      <p>InformationCasserole is a series of video prototypes (figure 1)
designed to study the effect that the number of visualized
elements (R) has on the way humans perceive the information
revealed on the interface. They show classified ads from
magazines and newspaper floating on different levels in a glass
container filled with slowly moving water. Therefore, their
settings emulate a transparent interface design and foster a direct
relationship between the human and digital information spaces.
Miller’s Law argues that the total number of different objects that
humans can simultaneously hold in their working memory is
approximately seven [4]. This affects the manner by which
information is perceived when the cardinality of the visualized set
of objects increases. In particular, there is a natural observable
tendency to perceptually cluster or group these objects recursively
whenever the perceivable number exceed Miller’s threshold. To
observe this phenomenon, eight 10 minutes long think-aloud
sessions were organized with eight different university students
that watched InformationCasserole showing magazine ads
progressively being added to the water container, and commented
on how the number of ads shown in the casserole affects the way
they perceive the set of visualized ads.</p>
      <p>We observed that when one object is shown, it tends to engage the
subjects in a prolonged and detailed examination. This changes
when two to seven objects are displayed since subjects become
more interested in identifying relations among the objects and
comparing them. The interest in object relations abates with a
higher object number, and instead the relations among clusters or
collections of objects start to proportionally grab attention. When
the number of visualized objects crosses a certain threshold,
which we estimate at Miller’s number squared, the casserole
becomes perceptually saturated and the subjects begin to treat the
set of ads as a space, reasoning about different regions in it. In
conclusion, we find that the quantity of visualized objects (R) is
perceived in four different density thresholds, and to each we
accord a parameter value: R=0 for visualizing no or a single
object; R=1 for a single collection of seven or less objects; R=2
for seven or less collections; and R=3 for single information space
or more than seven squared objects. This is reflected in figure 2.
In order to study the effects that the visible diversity of
information objects (P) has on the manner by which people
perceive information, eight paper-based prototypes similar to the
InformationCasserole were conceived. Each prototype shows a
combination of twelve to fifteen information objects from
different genres (e.g. classified ads, news headlines, blog posts,
news pictures, movie posters, youtube videos, secondhand goods,
and city events). The object genre was emphasized and
differentiated by aesthetic design. The visible object diversity
encourages people to search for relations among visualized
objects [6]. Therefore, the combinations, ranging from one to
eight genres, were designed to encourage subjects to search for
patterns and relations among the objects. Six twenty minutes
think-aloud sessions were organized with subjects whom were
asked to search for and identify different genres of objects in each
of the eight combinations presented in random order.</p>
      <p>As expected, the subjects perceptually clustered the objects
primarily in accordance to their genre. However, they sometimes
tended to search for inner-divisions in objects of the same genre
(e.g. clustering movies according to their cinematic kind or news
articles in familiar news categories), or to merge related genres as
a single genre (e.g. news articles and blog posts, or movie posters
and news pictures). In total, the subjects perceived the diversity of
objects (P) in four different levels, and to each level we accord a
corresponding parameter value inversely proportional to the
number of visible object genres: the first level is a single-genre
diversity (P=3); the second level is a diversity of two to three
genres (P=2); the third level refers to diversity of three to four
genres (P=1); the fourth level describes a diversity of five to seven
genres of objects (P=0). Figure 3 shows the number of visible
genres of objects in each of the eight combinations as seen by the
subjects, and the P value of each of the four identified diversity
levels.</p>
    </sec>
    <sec id="sec-5">
      <title>3. SITUATED INTERFACES AS IR</title>
    </sec>
    <sec id="sec-6">
      <title>SYSTEMS</title>
      <p>In order to assess how R and P act as design parameters for the
information settings of situated interfaces, the following five
interfaces that act as retrieval systems in real-world environments
were analyzed, and for each a corresponding design was
developed and evaluated in settings that resemble or emulate its
deployment environment.</p>
      <p>The Arts&amp;Movies is a situated interface intended for movie
theatre lobbies to support the search and discovery of new
interesting movies through an animated visualization that draws
attention to relationships between movies and concepts. The
DigiJuke is installed inside a bar to allow people to browse and
select music songs on the touch-screen, and play their video clips
accompanied by related images on the projection display. The
YouServe prototype is collocated in a university library lobby to
assist people in familiarizing themselves with the available library
services, and finding a service relevant to specific needs. The
NewsWall is a large display situated in the news production room
of a broadcasting corporation. The prototype subtly visualizes the
constantly evolving news information space on the web. The
MetroWindow is designed for metro wagons and broadcasts
summarized local news about cultural and civic events in the city
of Barcelona.</p>
      <p>In related works [7, 8] we have argued how R and P, as design
parameters, can be quantified during requirement analysis and
used alongside other aspects to conceptualize the design of
information interfaces. For each situated interface, a couple of
designers analyzed the characteristics of three entities being: the
deployment environment, the humans present in it, and the
adequate information space, which was defined based on an
understanding of the needs and goals of the humans alongside the
nature of the environment and the information and activity flows
that it hosts. Based on this analysis, the designers qualified the
values of R and P for each situated interface, and consequently
described its information settings, being the quantity of
information to visualize and its visible diversity. This
qualification of R and P was defined in accordance with several
non-disjoint or co-dependent situational aspects of
humaninformation interaction such as:
·
·
·</p>
      <p>The amount of available user attention (e.g. MetroWindow
disposes of little attention in contrast with DigiJuke).</p>
      <p>The duration of human interaction with information (e.g.
NewsWall remains in contact for prolonged durations, while the
interaction with YouServe is more momentarily).</p>
      <p>The convergence or divergence of the information seeking
tasks (e.g. YouServe supports finding a specific library service,
while Arts&amp;Movies is designed to acquaint people with many
movies).
The results of this R and P qualification are summarized in table
1. They show how R and P can characterize, from a perceptual
stance, the role of a situated interface as an information retrieval
engine, and parameterize the design of its information settings
accordingly. For example, when the user objectives are to search
for specific objects (e.g. YouServe), R is minimized, while P can
be maximized when the search converges on specific genres (e.g.
MetroWindow) or minimized when it diverges to cover many
genres (e.g. NewsWall). A maximized R signals that the
interaction tackles a large number of objects. In this case, when P
is maximized (e.g. DigiJuke), it determines that this large number
is a single collection of similar objects, or, when it is minimized
(e.g. Arts&amp;Movies), it signals that this large number of objects is a
visually diversified information space.</p>
      <p>The designers also developed the interfaces information
architecture and aesthetic design, but these activities lies outside
the scope of this paper. The final designs are shown in figure 4.</p>
    </sec>
    <sec id="sec-7">
      <title>4. USER CONTROL OVER R AND P</title>
      <p>Based on the discerned ability of R and P to describe the
information settings of situated interfaces and consequently their
performance as information retrieval systems, we explored the
possibility of allowing users to control them dynamically in
classic search and retrieval scenarios. Therefore, we designed two
experimental prototypes (figure 5) for querying a large
information space of news articles, by which users can set and
control the values of both R and P. The prototypes were evaluated
to assess the feasibility of this approach and its utility.
The NewSearch prototype collocates two slide-bars adjacently to
the query textbox for setting R and P explicitly, and returns an
equivalent clustered visualization of news articles. Users control
the number of clusters (discerned by color) by P and their average
cardinality by R. The 3DQuery prototype uses a tag-map as a new
concept for defining user queries, and shows a corresponding map
of news articles. The tag-map is a rectangular box where users can
place different tags of distinct sizes. The position of each tag
determines that of the corresponding cluster of news articles, and
the tag size the cluster cardinality.
Each prototype was evaluated by a different group of ten subjects
in the lab. The subjects were asked to browse and read the
collection of news articles for fifteen minutes, and then answer a
set of open-ended questions concerning their utility and usability.
The user evaluations of both prototypes showed that their learning
curve is not negligible. Subjects were not naturally inclined to use
the slide-bars of NewSearch to control the information settings.
An explanation for this may well be that they are accustomed to a
given query paradigm and the difficulty lies in making the
paradigm change [9]. However, this issue requires further
investigations. Subjects found it easy to use the tag-map paradigm
in general, but it was deemed too complicated for simple queries
and more useful for prolonged search and exploration since it
allows users to dynamically adjust queries and therefore
eliminates or reduces the need for re-querying.</p>
      <p>The experience and knowledge gathered with the design and
evaluation of these two prototypes would be used for developing
future prototypes that intent to delegate more intuitively a
dynamic control over the information settings of information
retrieval interfaces to their users.</p>
    </sec>
    <sec id="sec-8">
      <title>5. CONCLUSIONS</title>
      <p>During the course of this paper we have explored ways to tightly
integrate IR and HCI in a variety of human-information
interaction scenarios where interfaces act as information retrieval
systems. In particular, we studied how R and P as design
parameters can describe the information settings of these
interfaces. Both aspects were parameterized on a 0-3 scale on the
basis of conducted experiments to analyze different possible
information settings. Consequently, five situated interfaces were
designed and analyzed to discern how R and P are qualified
during requirement analysis, and how together they describe the
information settings of situated interfaces, and therefore help
reflect the interaction requirements onto the interface design.
Finally, we investigated the feasibility and utility of delegating
control of R and P dynamically to users during classic search and
retrieval scenarios, and concluded that while this approach is
clearly advantageous for exploration tasks and tasks that require
re-querying, a more profound study should be conducted for
further analysis. Such endeavor will constitute the essence of our
future work.</p>
    </sec>
    <sec id="sec-9">
      <title>6. DISCUSSION</title>
      <p>The approach that we presented in this paper demonstrates that a
tighter integration of HCI and IR is possible, by exploring the
potential of R and P as design parameters for the information
settings of situated interfaces. The use of these two performance
metrics as design parameters may be seen as controversial,
however, it is justified given that efficiency and information
relevance no longer constitute the backbone of user expectations
in all cases of human-information interaction. Instead, new
aspects of human-information interaction (e.g. emotional,
cognitive, experiential, situational, and cultural) are affecting the
manner by which we conceptualize information systems. Our
approach does not comprehensively address all these aspects, and
therefore can be complemented by introducing new parameters to
reflect with a higher affinity the aspects of human-information
interaction onto the system design.</p>
    </sec>
    <sec id="sec-10">
      <title>7. ACKNOWLEDGEMENTS</title>
      <p>The authors would like to thank Oriol Galimany and other
members of the Interactive Technology Group at Universitat
Pompeu Fabra for their support.
[2] NJ Belkin. Some (what) grand challenges for information
retrieval. ACM SIGIR Forum, 2008
[7] Moghnieh, A., &amp; Blat, J. (2009). A basic framework for
integrating social and collaborative applications into learning
environments. Proceedings of m-ICTE’09 Vol. 2 (pp.
10571061), 2009.
[9] B. Buxton. 2007. Sketching User Experiences: Getting the
Design Right and the Right Design. Morgan Kaufmann
Publishers Inc. CA, USA.
[10] S. Bødker. 2006. When second wave HCI meets third wave
challenges. In Proceedings of NordiCHI '06.</p>
    </sec>
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