Mobile Data CollectionBriefing for the ETLGDecember 9th, 2013By UCLA OIT ECTG Director Rose Rocchio

Mobile Data Collection(MDC)

• Passive Mobile Data Collection• Public Mobile Data Collection• Crowd Sourced Mobile Data Collection• Audience Response Systems• Private Mobile Data Collection

Passive Data Collection

Public Data Collection

Crowd Sourced MDC

Audience Response Systems

• Hardware Radio-Frequency Clickers• Software Based - BYOD - Mobile versions

Private Mobile Data Collectionusing Participatory Sensing

Real Time (always on)

Real Place (always carried)

Real Context (historical, spatial, environmental, social)

Real Applications (civic and environmental data,

transportation, health, education)

A Tale of Two Tools

• Native Apps• iOS, Android, Web• XML script • Testing Required• Account Needed

• html5 - Web Based• Browser required• GUI Authoring • No testing needed• Anonymous Replies

Introducing OPThttp://onlinepoll.ucla.edu

BYOE Audienc

e Respons

e

What is OPT?• OPT is an Online Polling Tool • It works on any Mobile device with a browser• Interactive Polling for classrooms• Anonymous for poll takers• Authentication required for poll creators• Use Cases include:– Geo-distributed classes – Online - Synchronous Office Hours

Interactive PollsOPT, is a web-based (clickerless) BYOD (Bring Your Own Device) Audience Response (AR) system available to all faculty & Staff to create polls and is open to all students to take polls (with no additional fees or devices needed) today

The Process

Create a Poll

Collect Data

View Results

Online Polling Tool

OPT – Create and Manage Polls

2) Search on OPT http://onlinepoll.ucla.edu 3) Use a QR reader App

4) UCLA Mobile Click on ‘Customize Home Screen’ &

add OPT!

Search for "Bruin" Use a free one from the App stores http://m.ucla.edu

4 Ways to find a Poll:

1) Paste link into a slide or course page

Introducing ohmage MWFhttp://pilots.mobilizelabs.org

Available free :• Ios App Store• The Android Google Play market

BYOD Private

MDC

ohmage Key Concepts• Campaign• Survey Concept • Prompts

» Prompt Types» Condition

– Reminders– Location & Time Zone data

• Web-based Data Repository• Data Visualization

Discuss Plans• Talk about Type of Data they want to collect• Discuss complexity of the survey instrument• IRB required for Research

Integrated and iterative

Create Campaign

Collect Data

Analyze Data

OhmageMobile-to-Web Platform

Ohmage server (RESTful APIs)

Ohmage FrontEnd

Mobility SystemSens Acoustic

LifeStreamsCampaign Authoring

Snackboard

ohmage ohmage MWF

OhmageExpore Data

Self-report Passive Data Streams

SurveyGathering

Visualization and AnalysisData Management and Administration

Mobile Clients

Web Applications

TeacherTool

Create Campaign

Manual Creation: create campaign definition in XML

Create Campaign

InfoSurvey

InfoSurvey Item

Create Survey (Repeatable)View XML

Submit to ohmage Server

Campaign authoring Tool: GUI for create a campaign (Near Future)

Campaign Info

Survey Info

Survey Item

Campaign Info

Survey Info

Survey Item

XML Authoring

Mobile Data CollectionAndroid iOS

Collect Data

Android devices:ohmage

IOS devices: Ohmage MWF

Desktop browser:http://pilots.mobilizelabs.org

Data collection tools are available on multiple platforms to accommodate for device diversity.

Data Analysis

Ohmage Generic Data Exploration (all campaigns) Customized Dashboards: snack, ads, trash(https://lausd.mobilizingcs.org/snackdemo)

RStudio: Script-based Data Analysis (all campaigns) Shiny: Customized GUI on RStudio (future)

Different tools for different depths and learning objectives.

Ohmage Research Pilots

Custom DashboardsFor Community Wellness• Built for a specific Survey to be used as a

Wellness Program Challenge Board

For Research Projects• Built for specific research• Built for participant visualization

UCLA Health Bruin Break

HIV Behavior Study

Snack Demo – Mobilize

https://lausd.mobilizingcs.org/snackdemo/

ohmage Courses at UCLA

Data Exploration

Time Series graph

Ohmage Mapping Vis Tool

Deployments: LAUSD STEM classes

4 Subjects Curriculum Data CollectionExplored Computer Science (ECS)

6-8 weeks data analysis unit Snack, Advertisement, Their own topics

Math (Algebra 1) 12 day unit on linear equation Snack nutritionScience (Biology) 12 day unit TrashIntroductory Data Science (IDS)

4 2-month units covering data science (to be completed)

Their own topics

Deployment Year ECS(classes)

Math+

(classes)Science+

(classes)IDS

(classes)Total

(classes)Total

(students)2011-12 (Completed) 13 - - - 13 377*

2012-13 (Completed) 12 7 5 - 24 644*

2013-14 (expected) 7 45 33 - 85 2,975**

2014-15 (expected) 10 90 70 10 180 6,300**

Note: + Math classes include Algebra 2 and Statistics. Science classes include Environmental Science; * Number of consented students; **Approximately 35 students per class.

Acknowledgements• Mobilize technical team: Safaa Dabagh, Amelia McNamara, James

Molyneux, Steve Nolen, Jeroen Ooms, Hongsuda Tangmunarunkit (Lead)

• Ohmage: Cheng-Kang Hsieh, Cameron Ketcham, John Jenkin, Tai Pham, Josh Selsky (Lead)

• Ohmage-mwf: Zorayr Khalapyan, Vinh Pham, Rose Rocchio (Lead), Edward Sakabu, Cathy Trance

• Education team: Salvador Beas, Odette Board (LAUSD), John Landa (LAUSD), Suyen Noncada-Machado (LAUSD), Christine Ong (CRESST), LeeAnn Trusela (Project Director), et. al

• PIs: Rob Gould, Mark Hansen, Deborah Estrin, Jane Margolis, Tomas Philip, Jody Priselac, Todd Ullah, Chris Stephenson, Joanna Goode

• Funding: NSF Math Science Partnership (#DUE-0962919), UCLA Center for Embedded Networked Sensing (NSF#CCF-0120778)

Questions?

Appendix

Demo intro• Set of research tools– Originally built by DE & CENS for Android only– 2 yrs ago, began building MDC clients using MWF– Resulted in: iOS, Android & Web clients– iPAD Demo – snack demo– See uploaded data:– https://pilots.mobilizelabs.org

Ohmage MWF Architecture