Designing the Next Generation of Search User Experience - Duane Degler and Lisa Battle

Duane
Degler

Principal

duane@designforcontext.com

@ddegler
Lisa
Ba.le

Principal

lisa@designforcontext.com

@design4context
Designing
the
Next
Genera/on

of
Search
User
Experience

UXPA
2015
•
June
24,
2015

@design4context

NextGen Search #UXPA2015
2

USER
EXPERIENCE
&

USABILITY

Understand user needs and
tasks. Design applicaHons
that work the way people
expect them to.
Photo
of
addiConal

presenter
here
(in

grayscale)

Lisa
Ba.le

INFORMATION

ARCHITECTURE
/
DESIGN

Understand the models that
make informaHon Hck, and
help people get things done.

Duane
Degler

@design4context

3

The
ubiquitous
search
box

@design4context

4

What
can
you

do
to
inﬂuence

the
user’s

experience

with
search?

@design4context

5

Public
Search
Site
Search
Enterprise
Search

What
is
a

search
experience?

@design4context

Stages
of
seeking

Catalyst

Info Task
Achieve in the
search space
Goal
Achieve in the
world
Seek
Type in the box
Evaluate
Assess results
Review
Assess content
Formulate
Strategy
Tactics
AcCvity

Use
Apply what you
gained
Keep
Persistent
resource
Outcome

REFINE
ITERATE

@design4context

Seek
Type in the box
Evaluate
Assess results
Review
Assess content
Formulate
Strategy
Tactics
REFINE
User’s
perspecCve
“Mechanics”
of
search
Trends
for
the
future

Stages
of
seeking

@design4context

8
http://en.wikipedia.org/wiki/Incandescent_light_bulb#mediaviewer/
File:Edison_incandescent_lights.jpg
The
user’s
mental
models,
moCvaCons

and
level
of
understanding
aﬀect
their

approach
to
search.

TesHng search has some nuances.
USERS’
PERSPECTIVE

@design4context

9

SEARCH STYLE:
Survey

“
What
are
the

symptoms
of

arthri0s?
”

»  SaCsﬁcing,
"good
enough"

»  Usually
single
session

»  Look
for
correlaCons
between
results
to
bolster
conﬁdence

»  Focused
on
authoritaCve
sources

»  Preview
to
support
decision-‐making

REFINE
Formulate Seek Evaluate Review

@design4context

10

SEARCH STYLE:
Targeted

"What
is
the

maximum

dosage
for

aspirin
per
day?"

»  Typically
start
with
a
known
domain

»  Clear,
known
expectaCon
of
outcome
or
nature
of
outcome

»  High
recogniCon
when
evaluaCng
result
set

REFINE
KEEP

@design4context

11

“
I
need
to
write
a

research
paper
on

eﬀec0veness
of
physical

therapy
vs.
drugs
for

arthri0s
treatment”

»  Longitudinal

»  IteraCve,
layered,
evolving

»  Search
strategy
is
a
criCcal
component

»  Inputs
to
search
formulaCon
must
be
acConable

»  Outcomes
must
be
acConable:
capture,
organize,
save

REFINE
KEEP
SEARCH STYLE:
Exploratory

@design4context

12

SEARCH STYLE:
Archival

”In
what
situa0ons
has

methotrexate
caused
or

contributed
to
pa0ent

adverse
events?"

»  Search
has
been
comprehensive
and
complete

»  Important
to
know
you
have
found
all
that
there
is
(within
limit)

»  Haven't
missed
criCcal
ﬁndings

»  Comprehensive
search
is
itself
a
product;
if
I
can't
ﬁnd
it:

•  it
likely
doesn't
exist,
or

•  It’s
not
relevant
to
the
context
that
I
have
applied

REFINE
KEEP

@design4context

13

SEARCH STYLE:
RouCne

"Keep
me
up-‐to-‐date
on

hematological
cancer

involving
Velcade
as
an

agent"

»  Take
a
successful
search
strategy
and
give
it
an
idenCty

»  Focus
on
new
and
unique
results

»  Search
parameters
and
ﬁlters
are
not
necessarily
related
to
a

speciﬁc
result
set

REFINE
KEEP

@design4context

14

»  Agent
for
others

»  Sharing

»  Reﬁnement
might
be
mulC-‐session,
iteraCve,
not
real-‐Cme

»  FormulaCon
task
requires:

•  NegoCaCon
to
arCculate
goals
and
scope

•  TranslaCon

REFINE
KEEP
SEARCH STYLE:
CollaboraCve

"What
is
the
maximum

dosage
for
aspirin
per

day?"

”Is
this
for
an
adult

or
a
child?"

”A
child."

”
How
many
milligrams

is
your
aspirin
pill?"

@design4context

15

Summary:
Seeking
Behaviors

Collabora/ve

REFINE
KEEP
REFINE
KEEP
REFINE
KEEP
REFINE
KEEP
REFINE
KEEP
REFINE
Rou/ne

Archival

Exploratory

Targeted

Survey

@design4context

●  Set
the
scene

● Let
the
user
deﬁne
scenarios
whenever
possible

● Be
clear,
together,
about
the
context
that
you
are
tesCng
for,

so
the
person
can
get
in
that
mental
space

● Test
in
their
environment
whenever
possible

•  Comfort

•  Secondary
resources

●  IdenCfy
expected
outcomes

● Dig
to
learn
what
the
person
wants
to
do
with
informaCon

● Collect
examples
of
work
products
/
outputs
they
create
now

ConsideraCons
for
tesCng
search
designs

16

@design4context

●  It’s
a
thinking
process

●  Test
with
real
content
–
as
much
as
you
can
get

●  Use
content
that
is
meaningful
/
familiar

●  Encourage
conversaCon
–
formaCve
protocols
encouraged

●  Iterate
rouCnely
and
rapidly

●  Mix
your
parCcipants
–
some
regular,
some
new
each
Cme

●  Work
with
real
code
in
the
back-‐end,
lightweight
interacCve

prototypes
on
the
front-‐end

•  The
experience
is
tacCle
and
cogniCve

●  Include
a
longitudinal
study

●  Search
tools
for
large
content
environments
and
enterprise
take

Cme
for
a
person
to
incorporate
into
a
rouCne

●  ReﬂecCon
is
an
important
aspect
of
user
feedback

ConsideraCons
for
tesCng
search
designs

17

@design4context

18

Parsing

Indexing

Ranking

Filtering

Answering
MECHANICS

http://www.loc.gov/pictures/item/ny1273.photos.123483p/

@design4context

The
mechanics
of
search

Index

Query

Parser

Search

Engine

Document

Unstructured

Content

Models

Metadata,
Terms,

Thesaurus

Results

&
Facets

List
of
items

List
of
terms

and
counts

Results

Page

Text,
Image
Voice,

@design4context

Unstructured

Content

Image

The
mechanics
of
search
.
.
.
enhanced

Index

Query

Parser

Search

Engine

Document
Voice,

Models

Metadata,
Taxonomy,

Thesaurus,
Ontology

Results

&
Facets

List
of
items

List
of
terms

and
counts

Results

Page

FUTURE

Text,

ApplicaCon

@design4context

21

Design
ConsideraCons

for
Search
TRENDS

http://hubblesite.org/gallery/spacecraft/28/large_web

@design4context

22

Formulate Evaluate ReviewSeekFormulate

@design4context

Deciding
what
to
search
for,
and
how

What
do
I
need
to
ﬁnd?

Where
should
I
look?

How
is
this
diﬀerent
than
what

I
searched
for
before?

What
words
or
phrases
should

I
use
to
describe
the
subject?

@design4context

Formula/ng
aligns
goals
with
concepts
about
informaCon

The Design of Browsing and Berrypicking Techniques for the Online Search Interface
Marcia Bates, 1989, http://pages.gseis.ucla.edu/faculty/bates/berrypicking.html
Berry
picking

ê

Evolving
understanding

How
do
we
help
users
align
their
goals

with
the
available
informaCon
space?

@design4context

RecogniCon,
not
recall:
Search
suggesCons
CURRENT

Consider
how
you
retrieve
and

structure
the
terms
you
present.

@design4context

Capture
thinking
process
when
it
happens

FUTURE

The increase in OA-related musculoskeletal pain especially in
the growing elderly population has created heightened interest in
effective treatments with better safety profiles. The Glucosamine/
chondroitin Arthritis Intervention Trial (GAIT) was designed to
examine the effects of the dietary supplements glucosamine and
chondroitin sulfate given alone or in combination as compared to
celecoxib or placebo on pain associated with osteoarthritis of the
knee. The primary symptomatic outcome assessment of the
GAIT study was after 24 weeks of randomized, double-blinded,
placebo-controlled therapy.[6] An ancillary structural study
describing the effects of the agents on radiographic joint space
width loss for up to two years has also recently been reported.[7]
To date, very few data have been reported for the long-term
treatment of OA with any agent including the supplements and
celecoxib studied here. Patients in the structural study continued
to have safety and clinical efficacy assessments at all scheduled
visits. This paper details the clinical efficacy and safety
experience with these agents alone and in combination along
with celecoxib as compared to placebo in patients from this
subset of GAIT over 24 months offollow-up.
chondroitin sulfate
celcoxib
radiographic joint space
Add note, action
Search on this now
Tag for!Tag for search!
Prior
search
formulaCons
and
strategies
are
products

Search Phrase
Search Builder Assist:
Operator Toolbar
Special Symbols
Equations and Formulas
arthritis +4
and methotrexate
arthritis – synonyms and instances
" Ankylosing spondylitis
þ Gonococcal arthritis
" Gout
" Juvenile rheumatoid arthritis
þ Psoriatic arthritis
þ Reactive arthritis (Reiter syndrome)
þ Rheumatoid arthritis (in adults)
" Scleroderma
" Systemic lupus erythematosus (SLE)
+ Add another

@design4context

RouCne,
automated
search
CURRENT

How
will
these
searches

evolve
as
a
person’s

interests
and
needs
change?

Think
longitudinally.

@design4context

Under
the
covers,
using
AI,

this
is
about
pa.ern-‐matching.

Seqng
personalizaCon

@design4context

Reﬁne
personalizaCon
via
richer
models

FUTURE

@design4context

Reﬁne
personalizaCon
via
richer
models

FUTURE

Showing

aspects
of

structure
helps

someone
focus

on
their
speciﬁc

interests.

@design4context

Unstructured

Content

Image

The
mechanics
of
search

Index

Query

Parser

Search

Engine

Document
Voice,

Models

Metadata,
Taxonomy,

Thesaurus,
Ontology

Results

&
Facets

List
of
items

List
of
terms

and
counts

Results

Page

FUTURE

Proﬁle

Text,

SemanCc

Processing

Save

User

Model

Index/

Graph
db

Formulate

@design4context

32

●  Help
a
person
make
needs
and
interests
more
explicit

●  Capture
what
they
are
thinking
before
they
start
searching,

in
context
of
other
tasks
and
applicaCons

●  Find
streamlined
ways
to
support
reﬁning
and

changing
interests
over
Cme

●  RouCne
searches
decay
–
reﬁnement
extends
engagement

●  Surface
underlying
models

●  ParCcularly
for
knowledge-‐intensive
and
longitudinal,

mulC-‐session
tasks

●  Be
humble
–
and
create
a
humble
experience

Design
consideraCons
Formulate

@design4context

33

Formulate Evaluate ReviewSeek

@design4context

CURRENT

Keywords,
type
ahead
and
scoping

@design4context

CURRENT

Mobile
search
relies
heavily
on
type-‐ahead

@design4context

CURRENT

DisambiguaCon

Present
informaCon
that
is

recognizable
and
supports

user
decision-‐making.

@design4context

Advanced
search
CURRENT

The
common
trend
is
to
move

detailed
parameter
reﬁnement

to
Results
page,
as
facet
ﬁlters,

to
avoid
“0
results”…

@design4context

Parameter-‐driven
“advanced”
searches
CURRENT

Parameters
are
the
same

(to
the
user,
in
the
code)

for
the
search
and
for

facet
management
on
the

results
page.

The
OpCcal
Society
(OSA),
h.ps://osapublishing.org

@design4context

EnCty
disambiguaCon
from
a
model

FUTURE

@design4context

Parsing:
Exposing
thesaurus
for
user
control

For
very
knowledgeable

researchers,
it
builds
trust

when
you
are
transparent

and
oﬀer
control.

@design4context

Missouri
populaCon

InterpretaCon
of
search
phrases

41

@design4context

What
states
surround
Missouri?

InterpretaCon
of
search
phrases

42

@design4context

What
is
the
populaCon
in
the
states
surrounding
Missouri?

InterpretaCon
of
search
phrases

43

Geographic

bordering

relaConships

US
State

as
focus

State

(geographic)

Number
of

residents

@design4context

Calculate

diﬀerence

Speciﬁc
Cme

period
for
data

Geographic

bordering

relaConships

US
State

as
focus

State

(geographic)

Number
of

residents

What
is
the
change
in
populaCon
in
the
states

surrounding
Missouri,
between
2012-‐2014?

InterpretaCon
of
search
phrases

44

FUTURE

And
this
is
sCll
a
simple
quesCon,
when
compared
with

what
researchers
and
analysts
ask
of
their
data
today.

@design4context

Smarter
search
boxes

(clinical decision support) (device or console or computer or apparatus)AND
Q-22 «
OR OR OR SAME Q-17 »
“clinical decision”
“decision support”
“clinical decision support”
Phrase
structures
support
supported
supporting
supportive
Stemming
Synonyms
(thesauri)
Operator combinations Dynamic controls
FUTURE

@design4context

Image
search

46

FUTURE

http://culturecam.eu
AlternaCve
entry
methods
for
large

amounts
of
rich
media
should
be
explored.

@design4context

Voice-‐acCvated
search…
a
conversaCon

FUTURE

Try
building
in

comprehension

check-‐points.

@design4context

ProacCve
search:
Solving
a
real-‐world
content
problem

48

User’sawarenessofneed
Nature of content related to task
Prohibited Not available
Specific awareness of
content and ability to
articulate problem
Required Available
Awareness of problem
but little ability to
articulate
No awareness of need
for information
“I don’t know
what I need to know”
“I know what I’m
looking for--
get me to it!”
Identify
via analyzing
content and
term use
Identify
via direct user
feedback
Identify
via task
performance
assessment
“I didn’t know
I needed that”
Degler/Ba.le
(2003).
Can
Topic
Maps
Describe
Enterprise-‐Wide
Context?

h.p://www.designforcontext.com/publicaCons/dd-‐lb_topic-‐maps_context_extreme2003.pdf

“Just tell me
what I
absolutely
must know”

@design4context

Unstructured

Content

Image

The
mechanics
of
search

Index

Query

Parser

Search

Engine

Document
Voice,

Models

Metadata,
Taxonomy,

Thesaurus,
Ontology

Results

&
Facets

List
of
items

List
of
terms

and
counts

Results

Page

Speech
Language
Images

FUTURE

Proﬁle

Context

Parameters

Text,

SemanCc

Processing

Terms,

Tags

Interpreted

meaning

NLP,
Enrich,

Auto-‐Tag

Unstructured

Content

Semi-‐structured

Index/

Graph
db

Seek

@design4context

50

●  Simple
is
best
.
.
.

●  But
no
simpler
that
what
supports
a
person
to
express
what

they
need
as
precisely
as
they
are
able

●  Allow
someone
to
use
examples
wherever
possible

●  The
trend
is
to
move
complexity
to
the
results,
because

decisions
are
evaluated
against
real
informaCon

●  Think
iteraCvely
.
.
.
And
longitudinally

●  In
many
cases,
search
is
a
mulC-‐step
and
mulC-‐session
task

(exploratory,
archival,
collaboraCve
in
parCcular)

●  Be
humble
–
and
create
a
humble
experience

Design
consideraCons
Seek

@design4context

51


@design4context

Results
page

Reﬁnements

User
choices
Ac/ons
View
controls

Results

Meta-‐results

CURRENT

(Ranked
Instances)

(Facets)

@design4context

Facets

53

CURRENT

HierarchyMulti-select Incremental DisclosureSimple list
Scoping

@design4context

Managing
the
evaluaCon
process…
CURRENT

These
habits
will
remain
–

consider
how
to
work
with
them.

@design4context

Mobile
results
–
answering
direct
quesCons

Shazam

CURRENT

Google
Maps

@design4context

Mobile
results
–
could
a
conversaCon
help?

iTriage

CURRENT

WebMD

How
quickly
do
you
go
to

individual
results
items?

@design4context

Answers
instead
of
“results”

(“Things,
not
Strings”
-‐
2012)

FUTURE

@design4context

Graph
traversing
results
display

(DIVE)

58

http://dive.beeldengeluid.nl/
FUTURE

@design4context

Exploratory:
Blend
results
&
topics

(Intent
Streams)

Salvatore Andolina, Khalil Klouche, Jaakko Peltonen, Mohammad Hoque, Tuukka Ruotsalo, Diogo Cabral, Arto Klami, Dorota Głowacka, Patrik Floréen, and Giulio Jacucci. 2015.
IntentStreams: Smart Parallel Search Streams for Branching Exploratory Search. In Proceedings of the 20th International Conference on Intelligent User Interfaces (IUI '15). ACM,
New York, NY, USA, 300-305. DOI=10.1145/2678025.2701401 http://doi.acm.org/10.1145/2678025.2701401
FUTURE

@design4context

VisualizaCons:
User
control
is
key

FUTURE

Antti Kangasrääsiö, Dorota Glowacka, and Samuel Kaski. 2015. Improving Controllability and Predictability of Interactive Recommendation Interfaces for
Exploratory Search. In Proceedings of the 20th International Conference on Intelligent User Interfaces (IUI '15). ACM, New York, NY, USA, 247-251.
DOI=10.1145/2678025.2701371 http://doi.acm.org/10.1145/2678025.2701371

@design4context

Snippets

Snippets
displayed and
highlighted
upon
mouseover
Upon click,
display snippet
expansion
Transition display to single
document view/layer,
anchoring to the specific
snippet in context
FUTURE

@design4context

Expanded
snippets

Title
Number
Date
Class
Inventor
Type
Preview
Assisted Clinical Decision Support 20040091847 11/06/2003 434/353 Pandya, et al. Patent
Claim Text:
assisted clinical decision support, the method comprising: identifying, with a processor, a
plurality of associated terms from a medical ontology, the associated terms including
associated drugs; generating...
assisted clinical decision support, the system comprising: a memory operable to store a mining
engine with a domain-knowledge base from associated terms in a medical ontology, the mining
engine configured...
assisted clinical decision support, the storage media comprising instructions for: creating a
knowledge base from a medical ontology; and building a mining engine operable to search
unstructured medical data...
assisted clinical decision support, the method comprising: identifying a plurality of associated
terms from a medical ontology; and training, with a processor, a model of relationships of the
associated terms...
assisted clinical decision support, the system comprising: a memory operable to store a
probabilistic model having machine learned probabilities for relationships from a medical
ontology, the machine learned...
assisted clinical decision support, the method comprising: identifying, with a processor, a
plurality of associated terms from a medical ontology; generating, with the processor, a domain-
knowledge base from...
89 pages | Cover page | 12 drawings
#$
forward-backward citations
X
assisted clinical decision support, the system comprising: a memory
operable to store a mining engine with a domain-knowledge base from
associated terms in a medical ontology, the mining engine configured
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do
eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad
minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum
dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non
proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
#$
434/353: Specifications Pg XX
FUTURE

Help
evaluaCon

at
diﬀerent

informaCon

levels.

@design4context

Unstructured

Content

Image

The
mechanics
of
search

Index

Query

Parser

Search

Engine

Document
Voice,

Models

Metadata,
Taxonomy,

Thesaurus,
Ontology

Results

&
Facets

List
of
items

List
of
terms

and
counts

Results

Page

FUTURE

Structured

Data
Panels
Graph

Model

Images

&
MulCmedia

Proﬁle

Context

Parameters

Text,

SemanCc

Processing

User

Model

Terms,

Tags

Interpreted

meaning

NLP,
Enrich,

Auto-‐Tag

Unstructured

Content

Semi-‐structured

Index/

Graph
db

Evaluate

@design4context

64

●  The
results
page
is
a
query
interface

●  Provide
suﬃcient
signposCng
and
user
control

●  Allow
for
quick
skimming
and,
for
knowledge-‐intensive

tasks,
incrementally
deeper
dives

●  Consider
capabiliCes
for
exploratory
behaviors

●  Design
to
suit
the
task
and
mental
model

●  Consider
“how
much
is
suﬃcient”

●  Establish
trust
in
the
results
–
algorithms
need
transparency

●  Be
humble
–
and
create
a
humble
experience

Design
consideraCons
Evaluate

@design4context

65


@design4context

People
organize
their
thinking
in

diﬀerent
ways
at
diﬀerent
Cmes.

Sensemaking
and
organizing

FUTURE

Marti A. Hearst and Duane Degler. 2013. Sewing the Seams of Sensemaking: A Practical Interface for Tagging and Organizing Saved Search Results.
In Proceedings of the Symposium on Human-Computer Interaction and Information Retrieval (HCIR '13). ACM, New York, NY, USA, , Article 4 , 10 pages.
DOI=10.1145/2528394.2528398 http://doi.acm.org/10.1145/2528394.2528398

@design4context

Gathering
relevant
concepts
and
resources

haptic interactions
CONCEPT

synonym1, synonym2,
synonym3, synonym4,
synonym5
material, palpable, physical,
solid, tactual, tangible
SEARCH TERMS

Snippets
All
Search Terms
Documents
Notes
Sketches
FUTURE

@design4context

The
World
Bank
invests
about
one-‐quarter
of
its
budget
for
country

services
in
knowledge
products…
About
49
percent
of
the
World
Bank’s

policy
reports,
which
are
published
Economic
and
Sector
Work
or

Technical
Assistance
reports,
have
the
stated
objecCve
of
informing
the

public
debate
or
inﬂuencing
the
development
community…

About
13
percent
of
policy
reports
were
downloaded
at
least
250
Cmes

while
more
than
31
percent
of
policy
reports
are
never
downloaded.

Almost
87
percent
of
policy
reports
were
never
cited.

Granular
content
instead
of
“documents”

69

FUTURE

Doemeland, Doerte; Trevino, James. 2014. Which World Bank reports are widely read ? Policy Research
working paper ; no. WPS 6851. Washington, DC: World Bank Group. http://documents.worldbank.org/
curated/en/2014/05/19456376/world-bank-reports-widely-read-world-bank-reports-widely-read

@design4context

Craig S. Tashman and W. Keith Edwards. 2011. LiquidText: a
flexible, multitouch environment to support active reading. In
Proceedings of the SIGCHI Conference on Human Factors in
Computing Systems (CHI '11). ACM, New York, NY, USA,
3285-3294. DOI=10.1145/1978942.1979430 http://doi.acm.org/
10.1145/1978942.1979430
Summarize
&
compress

(LiquidText)

FUTURE

@design4context

FUTURE

ReﬂecCng
task,
user
and
content
relevance

71

@design4context

Goal:
Embed
in
applicaCon

72

FUTURE

@design4context

Unstructured

Content

Image

The
mechanics
of
search

Index

Query

Parser

Search

Engine

Document
Voice,

Models

Metadata,
Taxonomy,

Thesaurus,
Ontology

Results

&
Facets

List
of
items

List
of
terms

and
counts

Fragment

Results

Page

ApplicaCon

Embedded

Results

Panels

FUTURE

Context

Parameters

Text,

Graph

Model

Terms,

Tags

Interpreted

meaning

NLP,
Enrich,

Auto-‐Tag

Unstructured

Content

Semi-‐structured

Index/

Graph
db

Review

@design4context

74

●  Review
is
a
learning
process

●  It
is
iteraCve
and
longitudinal,
so
help
a
person
understand

what
has
previously
been
retrieved,
viewed,
saved,
used

●  Documents
are
part
of
the
search
experience

●  The
take-‐away
is
the
informaCon,
not
the
document
/

desCnaCon

●  Design
should
facilitate
the
next
acCons,
e.g.

synthesis,
sharing,
ciCng,
learning,
doing

●  Be
humble
–
and
create
a
humble
experience

Design
consideraCons
Review

@design4context

75

Take-‐aways

http://en.wikipedia.org/wiki/File:Libreria_San_Gines.jpg

@design4context

Image

The
mechanics
of
search

Index

Query

Parser

Search

Engine

Document
Voice,

Context

Parameters

Models

Metadata,
Taxonomy,

Thesaurus,
Ontology

Results

&
Facets

List
of
items

List
of
terms

and
counts

Fragment

Results

Page

Structured

Data
Panels

Speech
Language
Images

ApplicaCon

Embedded

Results

Panels

FUTURE

Graph

Model

Images

&
MulCmedia

Proﬁle

Text,

SemanCc

Processing

Save

User

Model

Terms,

Tags

Interpreted

meaning

NLP,
Enrich,

Auto-‐Tag

Unstructured

Content

Semi-‐structured

Index/

Graph
db

@design4context

User

System

•  Think

•  Look
at
what
you
did

before

•  Gather
terms
and

ideas

•  Express
keywords

•  Pick
from
lists

•  Enter
parameters

•  Speak
sentences

•  Change
what
you

expressed
(refine)

•  Review
lists

•  Read
small
amounts
of

informaCon

•  Apply
filter
parameters

(refine)

•  Make
selecCons

(short-‐term
keep)

•  Look
at
what
you
found

•  Make
decisions
about

what
else
to
seek
(refine)

•  Select
and
discard

•  Take
follow-‐on
acCon

•  Share

•  Keep

•  Capture
terms
in
notes

•  Extract
terms
from

documents

•  Provide
reviews
of

previous
materials

•  Provide
examples
of

what
might
be
available

(proacCve)

•  Ingest
and
store

content
in
a
structured

way
so
it
can
be

searched

•  Incorporate
what
other

people
have
searched

for
previously.

•  Provide
example

phrases
(type
ahead)

•  Parse
language
to
try

and
understand
intent

•  Gather
context
signals

•  Apply
thesaurus/
addiConal
model

terms

•  Send
requests
to

other
services

•  IdenCfy
appropriate

items
to
return

•  Rank
the
returned

items

•  Present
the
structured

data

•  Present
the
returned

items

•  Present
the
model
of

vocabulary
for
filtering

•  Present
summaries
and

abstracCons
to
profile

what
is
found

•  Analyze
selected

informaCon

•  Provide
a
place
to
store

things

•  Provide
a
place
to

organize
things

•  Provide
a
way
to
manage

what
you
have

•  Provide
a
way
to
take

what
you
have
and
use
it

elsewhere

•  Profile
the
user’s
process

when
they
did
that

Seek
Type in the box
Evaluate
Assess results
Review
Assess content
Formulate
Strategy
Tactics

Designing the Next Generation of Search User Experience - Duane Degler and Lisa Battle

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to Designing the Next Generation of Search User Experience - Duane Degler and Lisa Battle

Similar to Designing the Next Generation of Search User Experience - Duane Degler and Lisa Battle (20)

More from UXPA International

More from UXPA International (20)

Recently uploaded

Recently uploaded (20)

Designing the Next Generation of Search User Experience - Duane Degler and Lisa Battle