waving not drowning practical tips for staying on top of photo field data epic conference workshop,...
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Waving Not DrowningPractical Tips for staying on Top of Photo Field DataEPIC Conference Workshop, 25th September 2006
Jan ChipchaseNokia, Mobile HCI Group NOKIA
Attendees / Contributors
Anjali Kelkar Illinois Institute of Technology Laura Forlano Communications, Columbia University Divya Jindal, Microsoft Dionne Smith Brand Trust Todd Wilkens Adaptive Path Roland Moore Pacific Institute for Research and Evaluation Jan Chipchase Nokia Mobile HCI Group, Tokyo Roberto Holguin in/situm, Mexico James Beebe Gonzaga University , Spokane Kathi Kitner Intel People & Practices Group
NOKIA
Why Are We Here?
Field studies can involve multiple team members generating thousands of digital images. How do you move from photo data sitting unused and unloved on multiple hard-disks to being a valued, relevant resource?
This workshop will cover how to: Collect, manage and stay in control collections of thousands of photos Maintain data integrity Consider moral & legal requirements Ensure that relevant data is easy to retrieve and use
All within real-world constraints (i.e. running a field project, lack of sleep, intermittent power, crashing hard disks, buggy software, sullen subcontractors, etc.)
NOKIA
Additional Topics to Cover
How to store data? How to share? Within groups? Structure way of re-visiting data? How to notate photos? Process for taking photos… pros and cons of different types of
camera… User identity, degrees of anonymisation Quality: resolution, composition What makes a good ethnographic image? How to select what images to use for reporting? When to delete? What to delete? Backup strategies? Photos in storytelling?
NOKIA
Software
PC Irfanview (shareware) good for keyboard shortcuts, rapid image editing, and batch
changes Adobe Elements (buggy, slow on laptop, good for setting up subcontractors to work in a
hurry) Picasa (freeware) Qualitative data analysis
ATLAS.ti (able to annotate selected parts of images) Nvivo 7
Mac iPhoto Image Capture Photoshop
Online Flickr (good for key word tagging) Shutterfly
NOKIA
The Challenge
right data
right format
right person
right time
How does this affect how we collect and manage the data?
NOKIA
Sample Field Study
10 days in one location 6 team members
Varying graphics skills Range of equipment – pc, macs, camera
brands Internal, external subcontractors Everyone has their preferred ways of doing
things
20+ study participants Participant diaries
Variety of data collection methods – shadowing, in-depth interviews, diaries, observations, wallet mapping, disposable camera studies, online blogs, Flickr photo diaries >> differing privacy requirements
NOKIA
NOKIA
Collect, Manage & Make Use of Photo Data
Usable collections
1024 x 768 Presentations, web, email
Original size Print
Backup
Data from various sources
NOKIA
Institutional Review Board (IRB)
IRBs are also known as Committees for the Protection of Human Subjects
Formal vs informal Age
Different levels of vulnerability seen for minors, with more protections needed
An element of rear covering! But actually a degree of flexibility when engaged – an educational process
for IRB members and applicant alike
NOKIA
The Process
Before We Get Started
Camera setup Time & date Nikon world time Sequential vs. restart File naming Folders Image resolution >> sufficient but not more Adding contact information inside memory
Storage setup Folder naming Memory cards: process me >> empties
Data manager >> someone to take overall responsibility for photo processing
NOKIA
Camera Equipment
Good for ethnographic–style work: Good quality display for showing participant’s photos Small enough to carry anywhere Steady shot Good zoom Video good enough for presentations Responsive refresh times more time taking photos than waiting for camera to
charge up Rapid on Rotating head supports more subtle photography Disable flash Night vision (Sony F717 pretty good, Sony F828
Using SLR’s, compacts, minis, camera phones, disposable, Polaroid
NOKIA
Consent
Data Consent USA Example UK Example India Example
Photo ownership, rights separate from Data Consent Different rights according to how the photo is used What does it mean to ‘sell’ an photo?
Sold to magazine Appears on a web site that accepts adverts? On a web site? Used in a paid-for workshop at a conference?
Model consent Consent to use photos featuring people
NOKIA
Data Consent Low Literacy Users
NOKIA
Process
Multiple Sources
Team, participants
NOKIA
Keeping Participants in Control
Sufficiently aware of data collection process Asking permission prior to starting data collection Asking permission again in new privacy-breaching situations De-mystify equipment Allow participants to frame photos Rewards before data consent is signed Encouraged to delete any or all digital data Send participants a copy of the data post-study
Print or digital
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Process
Multiple Sources
Team, participants
Backup‘Data Manager’
NOKIA
Secure Backup
NOKIA
Process
Multiple Sources
Team, participants
Backup
‘Data Manager’Clean up, filtering, basic metadata, re-naming
Working duplicates to
team, clients, stakeholders
NOKIA
Basic Metadata
Sufficient metadata to make sorting easier later on Photographer Study Location Participant Data gathering method +
NOKIA
Photos As Metadata
NOKIA
FilteringFiltering
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Filtering
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Naming, Re-Naming
Naming strategies projectname-location-participant-method-uniquenumber optima-helsinki-f12-interview-001.jpg optima-hki-f12-ini-001.jpg optima-hki-f12-001.jpg optima-hki-001.jpg
>> Demo: batch re-naming
NOKIA
Process
Multiple Sources
Team, participants
‘Data Manager’
Clean up, filtering, basic metadata, re-naming
Working duplicates to
team, clients, stakeholders
Collections, detailed metadata
Collections
Backup
NOKIA
Collection
Personal favourites Themes Detailed metadata Things to watch out for
NOKIA
Process
Multiple Sources
Team, participants
Backup
‘Data Manager’
Clean up, filtering, basic metadata, re-naming
Working duplicates to
team, clients, stakeholders
Collections, detailed metadata
Collections
1024 x 768 Presentations, web, email
Original size Print
Backup
NOKIA
Batch Processing
Versions Collections Writing metadata to files Awareness of who has what data Data clean up >> delete, delete, delete
NOKIA
Use & Reporting
NOKIA
Process optimised for digital publishing
Photo-rich Power point & PDF Web Archive Email attachments >> naming
NXPowerLite For compressing presentations
Typical No-Stress Volumes
Multiple Sources
Team, participants
‘Data Manager’
Clean up, filtering, basic metadata, re-naming
Collections, detailed metadata
Collections
1024 x 768 Presentations, web, email
Original size Print
Backup
6,000 photos
1,500
400 + 50 + …
6,000
NOKIA
Full Circle: Returning Data To Participants
Multiple Sources
Team, participants
‘Data Manager’
Clean up, filtering, basic metadata, re-naming
Collections, detailed metadata
Collections
1024 x 768 Presentations, web, email
Original size Print
Backup
NOKIA
Process Recap
Multiple Sources
Team, participants
Backup
‘Data Manager’
Clean up, filtering, basic metadata, re-naming
Working duplicates to
team, clients, stakeholders
Collections, detailed metadata
Collections
1024 x 768 Presentations, web, email
Original size Print
Backup
NOKIA
/learn to swim /end
NOKIA