ppt - for Athanasios (Thanos) Karapantelakis

difficultmangledMobile - Wireless

Nov 12, 2013 (3 years and 11 months ago)

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Getting Personal


A Framework for Context
-
Aware Services and System
Design for Contemporary Mobile

E
nvironments

Licentiate Defense Presentation






Athanasios Karapantelakis

2

Overview


Introduction


Problem Statement


System Description, Architecture and Deployment


Mobile printing scenario


Personal Web feeds scenario


Evaluation


Contributions



3

Introduction (1/2)


Information

age
:

Computer

networks

enable

global

access

to

information

supporting

human

communication
.

-
Science

and

education,

business,

casual

socializing,

etc
.

-
Access

medium
:

Stationary

workstations

or

laptops
.



Paradigm

shift
:

Mobile

devices

rapidly

becoming

the

most

common

medium

for

information

access
.

-
Fostered

by

technological

breakthroughs

in

mobile

hardware

and

software,

mobile

broadband

networks
.

-
As

of

2010
,

mobile

broadband

users

represent

the

majority

of

population

in

developed

countries

[
1
]
.


Connected

mobile

devices

provide

ubiquitous,

instant

access

to

information
.


Offering

and

revenues

of

and

from

mobile

applications

has

also

increased,

together

with

the

connectivity

capabilities

of

the

devices

[
2
]
.







[1] International Telecommunication Union (ITU)


Key Global Indicators for The World Telecommunication Service Sector
-

http://www.itu.int/ITU
-
D/ict/statistics/at_glance/KeyTelecom.html

(ret. May 2011
-

see also
backup slide 1
).

[2] ABI Research
-

Mobile Applications Market Data


Quarter 2, 2011 (ret. May 2011)
-

https://www.abiresearch.com/research/1004105?ll&viewtable=1005879~MD
-
APPS
-
105.xlsx
-
Table1.csv





Introduction

System Overview

Mobile Printing Scenario

Evaluation

Problem Statement

System Architecture

Personal Web Feeds Scenario

Contributions

System Deployment

4

Introduction (2/2)


Information

as

context

from

connected

sources

-
Internet
:

Social

media,

websites,

etc
.

-
Devices

and

sensors



Context
drives

personalized user experience

-
Personalizes services are traditionally difficult to manage, but higly appreciated [3].



Opportunity

-
Technology convergence: mobile device capabilities, global usage, ubiquitous connectivity.

-
Availability of context: ”smart” sensors and devices, online user information from social
media.



Motivation
:

There

is

sufficient

amount

of

technology

and

context

available

for

the

public

in

order

to

start

providing

personalized

services

beyond

the

confines

of

research

laboratories
.





[3] C. K. Prahalad,

Patrica B. Ramaswamy,

Jon R. Katzenbach,

Chris Lederer

and

Hill,
Harvard Business Review on Customer
Relationship Management (1
st

edition), Section on “Managing the Personalized Experience”, January 15 2002, ISBN
9781578516995

Introduction

System Overview

Mobile Printing Scenario

Evaluation

Problem Statement

System Architecture

Personal Web Feeds Scenario

Contributions

System Deployment

5

Problem Statement


Key

problem
:

Design

a

system

which

decides

on

the

relevancy

of

a

service

to

a

group

of

users,

based

on

retrieved

information

about

these

users

(i
.
e
.

user

context
)
.

-
Adaptability to diverse context sources


Context nature: online or physical


Context acquisition and modeling

-
Services


Service nature: informational or interactional


Service registration, service description formalization/storage

-
Decision algorithm: establishing relevance of services based on context


Indirect matching of services to context.


Suitability index and semantic reference tables (i.e. When a service is deemed to be
suitable for a user?)

-
System evaluation


Mobile application development and system deployment


System performance/efficiency metrics and qualitative feedback from users

Introduction

System Overview

Mobile Printing Scenario

Evaluation

Problem Statement

System Architecture

Personal Web Feeds Scenario

Contributions

System Deployment

6

System Overview

Context input

Online

social

media,

environment

sensors

(e
.
g
.

location,

movement,

temperature

etc
.
),

biosensors


Service input

Online

content

vendors

(e
.
g
.

news

portals,

mailing

lists

etc
.
),

hardware

devices

(e
.
g
.

phones,

printers

,

monitors

etc
.
)

User space:

Applications running on connected mobile devices.

Service broker

Context, Services information
modeling, storage and decision

on relevance of services to users.

Domain Knowledge:

Third
-
party content

providers.

Decision

Consolidation

Context

Acquisition

Service Description

Acquisition

Service subscription, request
reception and response
transmission

Introduction

System Overview

Mobile Printing Scenario

Evaluation

Problem Statement

System Architecture

Personal Web Feeds Scenario

Contributions

System Deployment

7

System Architecture

Introduction

System Overview

Mobile Printing Scenario

Evaluation

Problem Statement

System Architecture

Personal Web Feeds Scenario

Contributions

System Deployment

8

System deployment (1/2)


A

basic

system

implementation

includes

the

Context

Broker,

together

with

APIs

for

the

Context

Logistics
,

Decision

and

Service

Agent

Logistics

modules,

as

well

as

a

working

implementation

of

SIP/SIMPLE

for

the

Presence

module
.



Service

deployment

requires

extending

the

implementation

according

to

the

service

specification

(
service

profile
),

using

the

APIs

provided

from

the

Context

Broker
.

-
Defining

context

transformation

rules

in

the

context

logistics

module
.

-
Implementing

middleware

for

software

agents

when

necessary
.


-
Designing

and

implementing

the

decision

algorithm

reference

tables

and

optionally

adding

third
-
party

online

sources

for

decision

consolidation
.

-
Implementing

a

mobile

application

with

SIP/SIMPLE

(subscription)

capabilities
.



Introduction

System Overview

Mobile Printing Scenario

Evaluation

Problem Statement

System Architecture

Personal Web Feeds Scenario

Contributions

System Deployment

9

System deployment (2/2)


Two

services

implemented

and

exposed

for

public

use
.

-
Mobile

printing

[
4
]

-
Personal

web

feeds

[
5
]


Criteria

for

selection

-
Diverse

nature

of

context

and

services

-
Addressing

real

user

needs


Deployment

period

of

five

days

and

six

months

for

mobile

printing

and

personal

web

feeds

scenarios

respectively
.


Measurement

and

evaluation

both

on

system

performance

and

user

appreciation

of

the

services
.

-
Results

of

the

study

affects

system

design


Possibility

to

support

both

services

on

the

same

system

simultaneously
.

[4]
Athanasios Karapantelakis and Alisa Devlic and Mohammed Zarifi Eslami and Saltanat Khamit, Printing in Ubiquitous Computing E
nvi
ronments. In proceedings
of 6th International Conference on Ubiquitous Intelligence and Computing (UIC 09), Brisbane, Australia, 7
-
9 July 2009


[5]
Athanasios Karapantelakis and


Gerald Q. Maguire Jr., Utilizing social context for providing personalized services to mobile use
rs. In proceedings of 5th
European Conference on Smart Sensing and Context, EuroSSC 2010, Passau, Germany, November 14
-
16, 2010

Introduction

System Overview

Mobile Printing Scenario

Evaluation

Problem Statement

System Architecture

Personal Web Feeds Scenario

Contributions

System Deployment

10

Mobile printing scenario (1/5)


Service

Description
:

For

a

mobile

user

trying

to

print,

the

system

selects

a

suitable

printer

in

the

range

of

the

user
.

-
No

requirement

to

select

a

printer,

or

have

special

printer

drivers

installed

on

the

mobile

device
.

-
Scheduling

of

printing

tasks

handled

by

the

decision

algorithm,

resulting

in

efficient

utilization

of

printing

resources,

better

print

results

and

small

waiting

times
.


Service profile

-
Context: user location (RFID)

-
Service agents: Printers together with software agents.

-
Decision algorithm: Based on user preferences, location context and
resource avaliability, select a printer for a given user.

-
Mobile application: Sending print requests to system, using an
adaptive interface, based on user’s previous requests.

Introduction

System Overview

Mobile Printing Scenario

Evaluation

Problem Statement

System Architecture

Personal Web Feeds Scenario

Contributions

System Deployment

11

Mobile printing scenario (2/5)

RFID tag readers capable of reading tags in
proximity provide location context using SIP
PUBLISH messages.

The Context Aggregation module receives the
PUBLISH message and stores it into the
Context Repository

Each service agent is a combination of a printer
with a software agent. It uses SIP/SIMPLE to
PUBLISH updates about the status of the
printers to the Context Aggregation module and
uses SLP to get discovered by the Context
Broker.

Resource discovery module uses SLP to probe
for new service agents and register them to a
local database (printer pool), maintain sessions
and/or deregister service agents.

The User Presence module keeps track of current
subscribers to the printing service and uses NOTIFY
requests to submit updates in the status of a printer
during printing. It stores active SUBSCRIBERS to the
User Regsitry database.

The decision module accepts print requests via the SIP
INFO message and responds to requests using a
similar message carrying the Service Agent’s IP
address.

Introduction

System Overview

Mobile Printing Scenario

Evaluation

Problem Statement

System Architecture

Personal Web Feeds Scenario

Contributions

System Deployment

12

Mobile printing scenario (3/5)

1.
Client subscribes to the service


according to SIP/SIMPLE.

2.

Client gets a confirmation of
subscription.

3.
Client issues a print request via
using a SIP INFO message.

4.
The decision module makes an


informed decision about a
service agent capable of serving
the application’s request.

5.
The IP address of the Service
Agent is forwarded to the
printing application.

6.
The application can now access
the Service Agent directly to
print.

Introduction

System Overview

Mobile Printing Scenario

Evaluation

Problem Statement

System Architecture

Personal Web Feeds Scenario

Contributions

System Deployment

13

Mobile printing scenario (4/5)

Execution

of

the

decision

algorithm

starts

in

the

decision

module,

triggered

by

an

incoming

print

request
.

-
Calculation

of

a

Suitability

Index

(SI)

for

every

available

service

agent,

based

on

printer

capabilities,

printer

status

and

location

quantifiers
.


Normalized

from

0

to

1
:

Higher

value

means

the

printer

is

more

likely

to

be

chosen
.

-
Calculations

are

performed

using

formulas

stored

in

reference

tables
.

-
Let

S

=

{s
1
,
...

s
n
}

the

set

of

all

service

agents

registered

in

the

system
.

For

every

s
k
:

k

є

(
1
....
n)
:


Retrieve

distance

of

user

to

the

printer

and

normalize

the

value

according

to

the

reference

table

-

L(s
k
)
.


Retrieve

print

job

requirements

(user

preferences)

and

compare

them

to

user

capabilities

based

on

formulas

stored

in

the

reference

table



U(s
k
)
.


Retrieve

current

printer

status

and

normalize

the

result

according

to

values

in

the

reference

table



S(s
k
)
.


SI

for

service

agent

s
k

is

given

by

the

sum

of

the

three

normalized

values
:



SI(s
k
)

=

L(s
k
)

+

U(s
k
)

+

S(s
k
)

-
The

decision

algorithm

chooses

the

Service

Agent

with

the

largest

SI

to

serve

the

print

request,

and

the

decision

module

forwards

the

IP

address

to

the

Mobile

Application
.




Introduction

System Overview

Mobile Printing Scenario

Evaluation

Problem Statement

System Architecture

Personal Web Feeds Scenario

Contributions

System Deployment

14

Mobile printing scenario (5/5)

More likely

to be chosen

Less likely

to be chosen

Adaptive mobile application: user unterface print options availability based on
user previous choices.

Introduction

System Overview

Mobile Printing Scenario

Evaluation

Problem Statement

System Architecture

Personal Web Feeds Scenario

Contributions

System Deployment

15

Personal Web Feeds Scenario (1/5)


Service Description: Filtering web feeds based on information provided on
users’s online social profiles.

-
Trends in social media usage today


Increase in social network usage, blogging and community sites.


Users spend more time online browsing Social Networks, than reading e
-
mail [4]


Social network users going mobile [5]


Commercial application


“After

friends

and

family,

the

number

one

driver

for

brand

trust

is

online

reviews

and

feedback

from

the

social

media

space”
.

[
6
]


Social

Technologies

Gain

Traction

In

The

Enterprise



Year
:

2010

Will

Be

The

Year

Of

differentiation

for

vendors

to

stay

relevant
.

[
7
]


Personalized social networking in the center of next
-
generation social networking platforms

Mark

Zuckerberg
:

“Facebook

is

part

of

the

shift

toward

more

social

and

personalized

experiences

everywhere

online
.


[
8
]




[4] eMarketer:
More Time Spent on Social Media than Email Worldwide: Email most common daily activity, but social racks up more hours

http://www.emarketer.com/Articles/Print.aspx?1008025

[5] ComScore inc.
-

Facebook and Twitter Access via Mobile Browser Grows by Triple
-
Digits in the Past Year, March 2010

http://www.comscore.com/Press_Events/Press_Releases/2010/3/Facebook_and_Twitter_Access_via_Mobile_Browser_Grows_by_Triple
-
Digits

[6] The Nielsen Company


Friending the Social Consumer,
June 16, 2010

http://blog.nielsen.com/nielsenwire/online_mobile/friending
-
the
-
social
-
consumer/

[7] Forrester Research
-

Enterprise Social Networking 2010 Market Overview

http://www.forrester.com/rb/Research/enterprise_social_networking_2010_market_overview/q/id/56777/t/2

[8]
Mark Zuckerberg
-

Building the Social Web Together April 21, 2010
-

http://blog.facebook.com/blog.php?post=383404517130

Introduction

System Overview

Mobile Printing Scenario

Evaluation

Problem Statement

System Architecture

Personal Web Feeds Scenario

Contributions

System Deployment

Personal Web Feeds Scenario
(2/5
)

16


Service

Profile

-
Context
:

Information

about

users

retrieved

from

online

social

networks

(LnkedIn,

Facebook,

MySpace),

modelled

using

ontologies

(extensions

of

FOAF

vocabulary
),

aggregated

by

third
-
party

online

information

sources
.

-
Service

Agents
:

Websites

such

as

portals,

news,

forums

etc
.
,

providing

content

syndication

via

the

RSS

protocol
.

-
Decision

Algorithm
:

Based

on

user

profile

(context)

decide

whether

a

Web

feed

item

is

relevant

to

a

users’s

interests
.

-
Mobile

Application
:

Simple

iOS

application

where

users

are

presented

with

a

list

of

feeds

from

the

system

that

they

can

scroll

through



as

well

as

access

their

linked

content
.

Introduction

System Overview

Mobile Printing Scenario

Evaluation

Problem Statement

System Architecture

Personal Web Feeds Scenario

Contributions

System Deployment

17

Personal Web Feeds Scenario (3/5)

Context Input (Facebook, MySpace, LinkedIn)

Service input

RSS

feeds

from

websites

iOS application

Context Broker

Domain Knowledge:

IMDB, Google Maps

Decision

Consolidation

Context

Acquisition, transformation
and categorization based on
domain knowledge.

Service subscription
,
asynchronous notification
whenever a relevant Web feed
is selected

Asynchronous

transmission

of RSS feeds

Introduction

System Overview

Mobile Printing Scenario

Evaluation

Problem Statement

System Architecture

Personal Web Feeds Scenario

Contributions

System Deployment

18

Personal Web Feeds Scenario (4/5)


Decision Algorithm, a variation of the algorithm first used in the
mobile printing scenario.

-
Indirect matching of relevance of incoming Web feeds and user data,
based on thematic indexes.


Calculation of an Alignment Value A
i

-
Calculated for an incoming web feed, for each subscribed user.

-
Normalized value from 0 to 1, where 1 is an absolute similarity.

-
Confidence measure C
m

indicates an acceptable match.

-
Examples:

Introduction

System Overview

Mobile Printing Scenario

Evaluation

Problem Statement

System Architecture

Personal Web Feeds Scenario

Contributions

System Deployment

Incoming Web Feed Description

Raw Context

Context after transformation

Favourite movie:

The seventh seal

Favourite movie:

The seventh seal (type: movie, genre: drama, fantasy)

Stockholm Film Festival Dramatic Movies Programme
2010 (type: movie, genre:drama)

Thematic Index

General Category: Entertainment (A
1

= 0.2)

Sub
-
category: Movies (A
2

=
0.4)

Specialization: Drama (A
3

=
0.6)

Direct Match: No (A
4

= 1
)

Personal Web Feeds Scenario
(5/5)

19

Introduction

System Overview

Mobile Printing Scenario

Evaluation

Problem Statement

System Architecture

Personal Web Feeds Scenario

Contributions

System Deployment

20

Evaluation (1/2)


System performance

-
System response times (efficiency)


prioritization example

-
Error rate (robustness)

-
True positive results (effectiveness)

Introduction

System Overview

Mobile Printing Scenario

Evaluation

Problem Statement

System Architecture

Personal Web Feeds Scenario

Contributions

System Deployment

21

Evaluation (2/2)


User feedback

-
Satisfaction survey

Introduction

System Overview

Mobile Printing Scenario

Evaluation

Problem Statement

System Architecture

Personal Web Feeds Scenario

Contributions

System Deployment

22

Contributions


System level

-
A comparison with existing context
-
aware frameworks and context
-
aware systems reveals a significant advantage


First combination of virtual and physical services in real deployment

-
System design driven not only from classic performance metrics, but
also from user feedback


Automated, unobtrusive feedback collection


Service solution (implementation) level

-
A software
-
enabled print spooler.

-
Extensions of well
-
known ontologies to model user profiles. reusable
vocabularies.



Introduction

System Overview

Mobile Printing Scenario

Evaluation

Problem Statement

System Architecture

Personal Web Feeds Scenario

Contributions

System Deployment

23

End of presentation

Thanks for attending !

24

Backup

Slide

1
:

International

Telecommunication

Union

(ITU)



Key

Global

Indicators

for

The

World

Telecommunication

Service

Sector

Mobile broadband subscriptions Worldwide




Million

Users



Percentage

of population

Year

200
5

2006

2007

2008

2009

2010

2005

2006

2007

2008

2009

2010

Developed

Countries

57

132

253

352

505

631*

4.6

10.8

20.7

28.7

41.0

51.1*

Developing
countries

16

27

54

105

198

309*

0.3

0.5

1.0

1.9

3.5

5.4*

World

73

159

307

458

703

940*

1.1

2.4

4.6

6.8

10.3

13.6*



This table was sourced and adapted from the ITU website:

http://www.itu.int/ITU
-
D/ict/statistics/at_glance/KeyTelecom.html


25

Backup slide 2: Example of calculation
of the Suitability Index