5 research outputs found
Recommended from our members
Visual analytics approach to user-controlled evacuation scheduling
Application of the ideas of visual analytics is a promising approach to supporting decision making, in particular, where the problems have geographic (or spatial) and temporal aspects. Visual analytics may be especially helpful in time-critical applications, which pose hard challenges to decision support. We have designed a suite of tools to support transportation-planning tasks such as emergency evacuation of people from a disaster-affected area. The suite combines a tool for automated scheduling based on a genetic algorithm with visual analytics techniques allowing the user to evaluate tool results and direct its work. A transportation schedule, which is generated by the tool, is a complex construct involving geographical space, time, and heterogeneous objects (people and vehicles) with states and positions varying in time. We apply task-analytical approach to design techniques that could effectively support a human planner in the analysis of this complex information
Recommended from our members
Visual exploration of movement and event data with interactive time masks
We introduce the concept of time mask, which is a type of temporal filter suitable for selection of multiple disjoint time intervals in which some query conditions fulfil. Such a filter can be applied to time-referenced objects, such as events and trajectories, for selecting those objects or segments of trajectories that fit in one of the selected time intervals. The selected subsets of objects or segments are dynamically summarized in various ways, and the summaries are represented visually on maps and/or other displays to enable exploration. The time mask filtering can be especially helpful in analysis of disparate data (e.g., event records, positions of moving objects, and time series of measurements), which may come from different sources. To detect relationships between such data, the analyst may set query conditions on the basis of one dataset and investigate the subsets of objects and values in the other datasets that co-occurred in time with these conditions. We describe the desired features of an interactive tool for time mask filtering and present a possible implementation of such a tool. By example of analysing two real world data collections related to aviation and maritime traffic, we show the way of using time masks in combination with other types of filters and demonstrate the utility of the time mask filtering
Recommended from our members
Visual Analytics of Mobility and Transportation: State of the Art and Further Research Directions
Many cities and countries are now striving to create intelligent transportation systems that utilize the current abundance of multisource and multiform data related to the functionality and the use of transportation infrastructure to better support human mobility, interests, and lifestyles. Such intelligent transportation systems aim to provide novel services that can enable transportation consumers and managers to be better informed and make safer and more efficient use of the infrastructure. However, the transportation domain is characterized by both complex data and complex problems, which calls for visual analytics approaches. The science of visual analytics is continuing to develop principles, methods, and tools to enable synergistic work between humans and computers through interactive visual interfaces. Such interfaces support the unique capabilities of humans (such as the flexible application of prior knowledge and experiences, creative thinking, and insight) and couple these abilities with machines' computational strengths, enabling the generation of new knowledge from large and complex data. In this paper, we describe recent developments in visual analytics that are related to the study of movement and transportation systems and discuss how visual analytics can enable and improve the intelligent transportation systems of the future. We provide a survey of literature from the visual analytics domain and organize the survey with respect to the different types of transportation data, movement and its relationship to infrastructure and behavior, and modeling and planning. We conclude with lessons learned and future directions, including social transportation, recommender systems, and policy implications
Designing usable mobile interfaces for spatial data
2010 - 2011This
dissertation
deals
mainly
with
the
discipline
of
Human-ÂâComputer
Interaction
(HCI),
with
particular
attention
on
the
role
that
it
plays
in
the
domain
of
modern
mobile
devices.
Mobile
devices
today
offer
a
crucial
support
to
a
plethora
of
daily
activities
for
nearly
everyone.
Ranging
from
checking
business
mails
while
traveling,
to
accessing
social
networks
while
in
a
mall,
to
carrying
out
business
transactions
while
out
of
office,
to
using
all
kinds
of
online
public
services,
mobile
devices
play
the
important
role
to
connect
people
while
physically
apart.
Modern
mobile
interfaces
are
therefore
expected
to
improve
the
user's
interaction
experience
with
the
surrounding
environment
and
offer
different
adaptive
views
of
the
real
world.
The
goal
of
this
thesis
is
to
enhance
the
usability
of
mobile
interfaces
for
spatial
data.
Spatial
data
are
particular
data
in
which
the
spatial
component
plays
an
important
role
in
clarifying
the
meaning
of
the
data
themselves.
Nowadays,
this
kind
of
data
is
totally
widespread
in
mobile
applications.
Spatial
data
are
present
in
games,
map
applications,
mobile
community
applications
and
office
automations.
In
order
to
enhance
the
usability
of
spatial
data
interfaces,
my
research
investigates
on
two
major
issues:
1. Enhancing
the
visualization
of
spatial
data
on
small
screens
2. Enhancing
the
text-Ââinput
methods
I
selected
the
Design Science Research approach
to
investigate
the
above
research
questions.
The
idea
underling
this
approach
is
âyou
build artifact to learn from itâ, in
other
words
researchers
clarify
what
is
new
in
their
design.
The
new
knowledge
carried
out
from
the
artifact
will
be
presented
in
form
of
interaction
design
patterns
in
order
to
support
developers
in
dealing
with
issues
of
mobile
interfaces.
The
thesis
is
organized
as
follows.
Initially
I
present
the
broader
context,
the
research
questions
and
the
approaches
I
used
to
investigate
them.
Then
the
results
are
split
into
two
main
parts.
In
the
first
part
I
present
the
visualization
technique
called
Framy.
The
technique
is
designed
to
support
users
in
visualizing
geographical
data
on
mobile
map
applications.
I
also
introduce
a
multimodal
extension
of
Framy
obtained
by
adding
sounds
and
vibrations.
After
that
I
present
the
process
that
turned
the
multimodal
interface
into
a
means
to
allow
visually
impaired
users
to
interact
with
Framy.
Some
projects
involving
the
design
principles
of
Framy
are
shown
in
order
to
demonstrate
the
adaptability
of
the
technique
in
different
contexts.
The
second
part
concerns
the
issue
related
to
text-Ââinput
methods.
In
particular
I
focus
on
the
work
done
in
the
area
of
virtual
keyboards
for
mobile
devices.
A
new
kind
of
virtual
keyboard
called
TaS
provides
users
with
an
input
system
more
efficient
and
effective
than
the
traditional
QWERTY
keyboard.
Finally,
in
the
last
chapter,
the
knowledge
acquired
is
formalized
in
form
of
interaction
design
patterns. [edited by author]X n.s