AAAI 2012 at Standord

Health & Medicine Technology

PhD research update on mobile fitness app Endomondo and the Vickey Breslin Fitness Tweet Classification model

Digital Enterprise Research Institute www.deri.ie

A Study on Twitter Usage for
Fitness Self-Reporting via Mobile
Apps

Ted Vickey

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

WHO
WHAT
WHY
HOW
Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

WHO

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

WHAT

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

My PhD is researching exercise and
technology, because I want to find out if the
use of online social networking increases
exercise adherence and motivation so that
developers can create more persuasive
applications that allow a person to
become healthier and decrease healthcare
costs.

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

WHY

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

Business Model for Connected Health

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

Around the world today…
1 in 3 adults overweight

1 in 10 adults obese
Enabling Networked Knowledge
Data from WHO, 2011

Digital Enterprise Research Institute www.deri.ie

50
“Globesity”
45 USA, 45

40

35
Percentage of adult obesity (>30% BMI)

Mexico, 33

30 Chile, 30

Australia, 27
25
England, 24

20

Brazil, 17
15

Sweden, 12
Norway, 11
10

5
Japan, 3

0
1985 1990 1995 2000 2005 2010

Enabling Networked Knowledge
Data from WHO, 2011

Digital Enterprise Research Institute www.deri.ie

HOW

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

• Sports community based on free real-time GPS tracking of running,
cycling, etc.

• Copenhagen, Denmark

• Raised $2.3M in funding 2011

• 7.5M worldwide users (majority in USA)

• Android, iPhone, BlackBerry, Symbian, Windows Phone and Java

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

1. Turn on mobile fitness app
Workout
Time!

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

2. Complete physical activity
Walking
Running
Biking
Hiking
Swimming
Lifting
Sleeping
Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

3. Save workout

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

We can analyze…

 User ID • Fitness App
 Location • Exercise Type
 # Followers • Exercise Time
 # Followings • Exercise Trends
 # Lists • Twitter Social Network
 Influence score • Message
 Klout Type • Twitter activity

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

The process…

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

xxxxxxx

xxxxx

xxxxxxx

xxxxxxx

xxxx

xxxxxxx

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

#Endomondo (March 21 – October 21, 2011)

319,024 Collection of Tweets
(#endomondo)

Identification of English
301,363 Tweets

20,535 Unique Users

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

#Endomondo users by Language

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

Devil: 2 God: 12
Hell: 18
>
Heaven: 5

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

$hit: 46
Crap: 22
Damn: 40
F%#&: 51
Bitch: 1
Ass: 34
Fat Ass: 1

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

391

1739
Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

Geo location of #endomondo users

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

Was out cycling 5.03 miles
with #Endomondo. See it
here: http://t.co/dr24ar

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

http://t.co/dfe34d

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

#Endomondo Celebrates 5 Million
#Downloads Of Fitness App With
$2.3M In Seed Funding
http://t.co/Z3a2MYwV

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

Unique Users:
2,587
(Users who
Tweeted 1x
or 18%)

109,115
(Top 10% of Tweeters
made 47% tweets)

229,513
(Total Tweets)
English Only, Workout Category

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

Top Ten Tweeters using #endomondo
All Workouts

User A 977 976
Endomondo 757 0
USER B 522 262
USER C 517 264
USER D 514 254
USER E 507 305
USER F 503 503
USER G 492 274
USER H 487 243
USER I 477 255
Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

Survey Question:
What percent of the time when
you exercise do you use a
mobile fitness app?
69% of all users more than
80% of the time

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

Time Period Analysis

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

Future research
 Continue to analyze data
 Cross application usage patterns
 Adoption and maintenance patterns
 Cross analysis with Survey Data
 Social Network Analysis
 Collaborate with other researchers
 Survey users
 Build economic model of research

Enabling Networked Knowledge

Digital Enterprise Research Institute www.deri.ie

Ted Vickey
National University of Ireland - Galway
ted.vickey@deri.org
@tedvickey
www.linkedin.com/in/tedvickey
www.socialfitphd.com
www.slideshare.net/drfitt

Enabling Networked Knowledge

What's hot

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Harold Teunissen

The Web of Data - Tom Heath

sssw2012

Collaboration is Happening

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Presentation slides of the LEAD (Learning Design – Designing for Learning) project. The research project aims to (1) bring design thinking to learning design and to (2) bring design expertise to the development process of technological learning solutions. In this project we understand learning situations widely, from traditional classroom situations to more informal learning settings. Project consortium is combination of Finnish leading universities with major international academic collaboration, active new start-ups and SMEs developing new solutions for educational institutes and organization for tackling the 21st century information management and learning challenges, and high-impact testbeds that act as a catalyst for companies to trial their solutions and competencies. The two year project includes collaboration with number of international research partners. The project is funded by Tekes – the Finnish Funding Agency for Technology and Innovation.

LEAD - Learning Design – Design For Learning -project presentation

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The US Department of Health and Human Services (HHS) began publishing Linked Data in 2011 as part of an ongoing effort to inform the public and stimulate new health care applications. The Digital Enterprise Research Institute (DERI) is recognized as one of the leading international web science research institutes interlinking technologies, information and people to advance business and benefit society. In the US, the President's Council of Advisors on Science and Technology (PCAST) published a report on Health IT that imagines new scenarios and recommends new capabilities for interacting with health data. At DERI, innovative ontology and software implementations demonstrate how users can create and manage fine-grained privacy preferences that restrict or grant access to their Linked Data This session will give an overview of the HHS/DERI collaboration to implement 'data element access services' towards the realization of patient controlled privacy. • US Department of Health and Human Services • PCAST Health Information Technology Report • Digital Enterprise Research Institute • Privacy Preference Ontology and Manager • Puelia and Linked Data API http://semtechbizsf2012.semanticweb.com/sessionPop.cfm?confid=65&proposalid=4539

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Open Data - Where can it take us?

Estimation represents one of the most critical processes for any project and it is highly dependent on the quality of requirements elicitation and management. Therefore, the management of requirements should be prioritised in any process improvement program, because the less precise the requirements gathering, analysis and sizing, the greater the error in terms of time and cost estimation. Maturity and Capability Models (MCM) represent a good tool for assessing the status of a set of processes, but an inner limit of any model is its scope and approach for describing a certain issue. Thus, integrating two or more models with a common area of focus can offer more information and value for an organization, keeping the best components from each model. LEGO (Living EnGineering prOcess) is an approach projected for this purpose. This paper proposes a LEGO application hybridizing a ‘horizontal’ model (a MM containing processes going through the complete supply chain, from requirements right through to delivery, e.g. CMMI or ISO 12207/15504) with a few specific ‘vertical’ models (MMs with focus on a single perspective or process category, e.g. TMMi or TPI in the Test Management domain, P3M3 and OPM3 in the Project Management domain) for Requirement Engineering.

Lgd 2

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Recent developments in the area of social networking have lead to prominent users leaving facebook due to privacy concerns. In order to really understand what motivated facebook to implement these controversial changes, you have to look at the future of recommender systems. I will introduce my current research in the areas of multi-source, cross-domain and privacy enabled user profiling and recommendation, and show how it relates to current developments in the social networking space.

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Can we use Walton's discussion types to provide context for discussions? Presentation for a CSCW2012 workshop on Collective Intelligence as Community Discourse and Action, focusing on the *why* of discussions, and detecting that with textmining. See the position paper, Envisioning A Discussion Dashboard for Collective Intelligence of Web Conversations, at http://events.kmi.open.ac.uk/cscw-ci2012/wp-content/uploads/2012/02/SchneiderPassant-cscw12-w33.pdf

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jodischneider

Energy Intelligence platforms can help organizations manage power consumption more efficiently by providing a functional view of the entire organization so that the energy consumption of business activities can be understood, changed, and reinvented to better support sustainable practices. Significant technical challenges exist in terms of information management, cross-domain data integration, leveraging real-time data, and assisting users to interpret the information to optimize energy usage. This paper presents an architectural approach to overcome these challenges using a Dataspace, Linked Data, and Complex Event Processing. The paper describes the fundamentals of the approach and demonstrates it within an Enterprise Energy Observatory. E. Curry, S. Hasan, and S. O’Riáin, “Enterprise Energy Management using a Linked Dataspace for Energy Intelligence,” in The Second IFIP Conference on Sustainable Internet and ICT for Sustainability (SustainIT 2012), 2012.

Enterprise Energy Management using a Linked Dataspace for Energy Intelligence

“Maturity model” (MM) (based on Crosby’s original idea) has been one of the main buzzwords over the past 20 years. A variety of MMs have been created in several application domains, from Software Engineering to Contract Management. Despite several models intending to cover the same domain, their PRMs (Process Reference Models) typically have different scopes, do not always cover the same set of processes, or have different levels of depth, or do not express the same level of granularity when describing concepts. Thus some important questions from the MM users’ viewpoint arise: how to choose the right models for our needs? After selecting those models, how to build a new, tailored MM based on several sources and customized to a specific domain? This paper motivates these important questions and proposes a way to choose, combine and adapt the contents from multiple MMs within a generic-domain approach we call ‘LEGO’ (Living EnGineering prOcess), based upon the well-known kids’ toy that stimulates creativity through combining different bricks. We present three case studies, one of them based upon the development of the Medi SPICE model, illustrating how the proposed approach may be used to develop MCM (Maturity & Capabilty Models) in this context.

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Luigi Buglione

Leveraging existing Web Frameworks for a SIOC explorer (Scripting for the Sem...

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https://www.insight-centre.org/content/towards-expertise-modelling-routing-data-cleaning-tasks-within-community-knowledge-workers Presented at the ICIQ 2012 ABSTRACT: Applications consuming data have to deal with variety of data quality issues such as missing values, duplication, incorrect values, etc. Although automatic approaches can be utilized for data cleaning the results can remain uncertain. Therefore updates suggested by automatic data cleaning algorithms require further human verification. This paper presents an approach for generating tasks for uncertain updates and routing these tasks to appropriate workers based on their expertise. Specifically the paper tackles the problem of modelling the expertise of knowledge workers for the purpose of routing tasks within collaborative data quality management. The proposed expertise model represents the profile of a worker against a set of concepts describing the data. A simple routing algorithm is employed for leveraging the expertise profiles for matching data cleaning tasks with workers. The proposed approach is evaluated on a real world dataset using human workers. The results demonstrate the effectiveness of using concepts for modelling expertise, in terms of likelihood of receiving responses to tasks routed to workers.

Towards Expertise Modelling for Routing Data Cleaning Tasks within a Communit...

Umair ul Hassan

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