ux and data visualisation
TRANSCRIPT
My name is Paula de Matos
I live in Cambridge, UK
I am an Independent
UX Analyst
I am South African and
Portuguese.
I have a special UX interest
in complex data and
visualization.
Tweet at @Paula_deMatos
My name is Jason Dykes
I live in Leicestershire, UK
I am an Professor of
Visualization at CITY Uni
I am a Geographer and a
Computer Scientist.
I am interested in using
visualization in a broad range
of domains - transport,
energy, ecology, geography,
intelligence analysis.
Flickr: Doritweber
Meet Jessica
• Age: 35
Occupation: Local authority
research officer
Goals
Jessica’s main goal is to
determine which libraries are
the most successful and why?
Using this information she can
hopefully transfer this
knowledge to less successful
libraries and/or decrease
redundant library services.
Your task
Sketch a visualization that will help Jessica gain some
insight into allocating library resources?
“Darts” CC BY Richard Matthews
Read and discuss the task
• Read the persona and task.
• Find somebody else with the same coloured dot sticker.
• Introduce yourself and discuss the task.
• highly inter-connected
• has depth (big picture and high level of granularity
important)
• high volume, big scale
• unfamiliar since it is a ‘niche’/’expert’ field (niche
vocab.)
• needing security/ privacy/ authentication
• real time-critical
Complex data environments have data that is/ may be…
EMBL-EBI EuroHub for Bioinformatics in
Hinxton
• Part of the European Molecular Biology
Laboratory
• International, non-profit research institute
• 540 people work at EMBL-EBI, 48 nations
represented
• Average age: 37 yrs
• At the heart of modern biology research
• Science of storing, retrieving and analysing
biological information
• An interdisciplinary science involving
biologists, biochemists, computer scientists
and mathematicians
What is bioinformatics?
L-O-A-D-S of data
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TB
of
data
UX and Bioinformatics: Enzyme Portal
I can’t find
anything?
We have over 10
databases dealing
with enzymes
Data is loosely
linked and
mismatched
I can’t see
anything?
Enzyme Portal UX process
Stakeholder Analysis
User Research: Interviews
Data Analysis: Canvas Sort
Prototype and Design
Evaluation: Usability Testing
• Preferably in their own environment
• Observe and understand context
• Ask questions, learn and validate
Interviewing users and understanding
their complex data
Interviewing with complex data
• Learn some of the basics in advance.
• Asking participants to remember “critical incidents”.
• Ask open ended questions to help participants discover
the data?
• Don’t make assumptions – data is complex!
Task 1: User research
Pair up and interview each other for 5 minutes.
Goal: try to uncover further success measures in library
usage.
Use open ended research questions such as
• “Can you describe the last time you used a library?”
• “Why did you go to the library?”
Task 2: Sketching a design
Sketch a visualization design to help Jessica uncover
which are the most successful libraries.