A research presentation given at The University of St Andrews. The study is imperfect, but prompted discussion, which was great. Thanks for having me @SACHI.
2. About Me
Human Computer Interaction / UX
• Interface design for Autism
Spectrum Conditions and
Intellectual Disabilities
• Participatory design methods
Technologies for Education
• To support education
• To innovate
@Rachel_Menzies
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4. Challenges of designing for small screens
• Small screen
• “Fat-finger problem”
• Limited screen real estate
• Poor battery life
• Less than one day of solid use
• One handed interaction
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5. Designing for Data Visualisation
• Overview
General context
• Zoom and Filter
Limit the amount of info
displayed
• Details on Demand
Interactive, maintain
context
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8. Background
Increased use of smart watches
7http://www.eetimes.com/document.asp?doc_id=1326427 http://www.statista.com/statistics/271405/global-mobile-data-
traffic-forecast/
Increased use of mobile data
1 EB= 1 billion GB
9. Future Uses
• Smart home alerts
• When alerted, can I explore the data and decide how to respond?
• Places control in the hands of carers.
• Biology labs
• Providing info to lab technicians
• Sports tracking
• Elite and casual athletes
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10. How can we explore
data on a very small
screen?
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11. Exploring Data on a Large Screen
Must data exploration mean a
dashboard?
Novice dashboard users prefer
visualisations they are familiar with
(bar charts, pie charts).
Grammel, Tory & Storey (2010). How information visualization novices construct
visualizations. Visualization and Computer Graphics, IEEE Transactions on, 16(6), pp943-
952
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12. Moving to smaller screens
Tablet
http://www.nytimes.com/interactive/2014/07/01/sports/worldcup/usa-
belgium.html?smid=tw-share&_r=2
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13. Moving to smaller screens
Mobile Phone
http://www.brightpointinc.com/d3-mobile-web-application/
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15. Where to focus first?
• Focus on Bar Charts
• Simple visualisation already used on smartphones
• Variations available on smart watches, e.g. Activity by Apple
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16. Focus Group
• Some sketches drawn and presented to participants
• n=5
• All used bar charts regularly
• All used touch screen devices at least daily
• What is the most suitable interaction?
• Why?
• …any new ideas?
515
18. 6 Initial Solutions
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“Horizontal scrolling is most
natural. It’s the same as
scrolling through my photos”
“Vertical would be useful if
the bars are flat.
Otherwise it doesn’t really
make sense.”
“How many bars are there? I don’t want to
be scrolling all day. Can I set the number of
bars I want to see?
19. 6 Initial Solutions
Free Zoom
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“This is most familiar… but it’s
boring. Smartwatches should
be cool and interactive and
new”.
“I don’t like that I can’t see
the top of the bar. It’s
meaningless”
20. 6 Initial Solutions
Free Zoom with Fixed Axes
719
“This is good. I can presumably
zoom in fairly far if I have bad
eyesight … and I see the axes.”
21. 6 Initial Solutions
Grid Zoom
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“Too confusing I think. You’d
need to remember stuff rather
than maybe just look at it.”
“I don’t like that second
section. I don’t know what bar
it is and what the value is.”
22. 6 Initial Solutions
Fish Eye
821
“I guess it’s good that I can see everything, but
is it something I can actually use in my job?
Not a chance. Everything will get distorted.”
23. Focus Group Results
• Unanimous favourite was One-by-One (Horizontal).
• Small overview of the chart was useful.
• Suggested “Favourites” for easy comparison.
• Also favoured Free Zoom with Axes
• Favoured being able to set custom zoom, but asked for overview. 922
24. Focus Group Results
Overview:
• Being able to view the entire
chart at all times.
Context:
• Knowing what the data you
can currently see actually
means, i.e. what value does it
have?
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25. Initial Study
• Three conditions rated most highly by focus group:
• One-by-One (Horizontal)
• Grid Zoom
• Free Zoom with Fixed Axes
• Control condition:
• Free Zoom
• Measures:
• Time to complete tasks
• Accuracy
• NASA TLX 24
26. Initial Study
• Participants:
• n=14 (6 male, 8 female)
• Average age = 24yrs
• Materials:
• Prototypes on iPhone (4cm screen
width)
• Bar chart was pre-determined
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30. What does this mean?
Tasks:
• Best performing in tasks was One-
by-One.
• Worst in Tasks 1 & 2 was Free Zoom
w/ Fixed Axes.
• Worst in Task 3 was Grid Zoom.
NASA TLX:
• Best result was One-by-One.
• Worst was Grid Zoom.
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31. Bigger Questions / Next Steps
Use a “better” bar chart.
• All x axis labels.
• More bars to increase
complexity.
Repeat study with greater
participant range.
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32. Bigger Questions / Next Steps
• Addition of a “favourite” bar to
aid comparison.
• Comparison of different
possibilities.
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33. Bigger Questions / Next Steps
Consider other chart types:
• Are there additional
challenges, e.g. for line
charts?
• What about multiple lines?
• How to show trajectory?
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34. Bigger Questions / Next Steps
Do the zoom interactions
transfer to other wearable
devices such as Google Glass?
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35. Conclusion / Recommendations
• Overview and Context appear to be important in viewing bar charts
on smart watches.
• Do not include one without the other!
The goal:
• To create and evaluate a set of guidelines for exploring data
visualisations on small screens.
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36. Acknowledgements
Thanks to:
• Dr Alison Pease (Dundee)
• Julia Roming (MSc UX Engineering)
• All participants who took part in the studies
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Guilty secret
Mostly consultancy rather than research.
Explosion of mobile.
Now we have the addition of wearable, such as smart watches.
Much smaller than mobiles, which are now increasing in side (phablets)
Less powerful than mobiles.
Ben Schniedermann:
Stocks interaction is difficult – requires clicking.
Uses by businesses:
Japan Airlines – send tasks to airline staff and locate staff via watch (allows controller to select the most appropriate staff member for each task.
Virgin Atlantic
uses smartwatches and google glass for concierge (1st class passengers) “search for info requested by passenger”
Smartwatches and glasses for engineers, e.g. 1st person view, receive maintenance tasks
2016 yr of smart watch
How may fitbit/jawbone?
How many smart watches?
BT presenting data dashboards for care homes on different platforms – how much data is enough?
Electrograph – soil sample
Affinity for pie charts – commonly selected, even when guidelines suggest otherwise.
Identify shortfalls of current solutions – e.g. Apple only useful if a few bars (current max = 3) – what if there are many bars, e.g. one per day for a month, cannot customise dashboard.
Took place at university
Fish Eye – rejected – non-uniform scaling makes it difficult to compare the bars
Draw the 4 conditions on a board.
Participants:
All interacted with bar charts regularly; 12 had previous knowledge of smart watches.
Max age was 29 so a young crowd. Probably tech savvy.
Note labelling on y axis.
Tasks:
Most steps
Least steps
Average number of steps
Task 1:
Free Zoom w/ Fixed Axes significantly slower.
No other significance.
Task 2:
One-by-One sig faster than grid & free w/ axes.
Free zoom sig faster than free w/ axes.
No significance between top two.
Task 3:
Grid Zoom significantly slower than others.
No other significance.
Note: task 3: Free Zoom was fastest (by .86 sec). Maybe confounding axis.
One-by-one takes less effort for all except physical demand – understandable as constantly swiping. But not the highest in that category by a long way.
Grid Zoom is worst across all.
Suggest that overview and context are important. It is worse to have just one of these than none of these.
Overview: seeing whole chart.
Context: constant view of axis to give meaning.