1. EthUX
Seven deadly sins that keep us from
building a better world
Eric Reiss
@elreiss
IxDA 10th Anniversary
September 8, 2018
Berlin, Germany
2. Disclaimer
Absolutely no attempt has been made
to make this presentation politically correct.
If you can’t handle the real world, get in line
for the Turkish BBQ. Jetzt!
No animals were harmed during the production
of this PowerPoint (even though I tried).
Made entirely of recycled electrons.
3.
4. Disclaimer #2
If you’ve heard this all before, my apologies.
If you’ve ignored these issues, step up and take a stand.
25. • It’s not just “1” and “0”
• Or right and wrong
• Or “yes” and “no”
• Or “black” and “white”
The world is grey and difficult. Learn to live with it.
The world isn’t binary
45. 1. Manipulating the research
2. Faking the content
3. Promoting addiction
4. Dark patterns
5. Teamwork trauma
6. Offensive AI
7. UX theatre
Seven deadly sins
47. • Asking “loaded” questions
• Manipulating the results
• Hiding the results
• Not actually doing the research
Four problems
48. • Asking “loaded” questions
• Manipulating the results
• Hiding the results
• Not actually doing the research
Four problems
49.
50. Interpreting interrelated questions
1. Was the product information sufficient and
relevant?
6/10
2. Was the transaction cost of the products
appropriate?
1/10
3. Were you satisfied with the website
experience?
5/10
51. Four problems
• Asking “loaded” questions
• Manipulating the results
• Hiding the results
• Not actually doing the research
52.
53.
54.
55. • Asking “loaded” questions
• Manipulating the results
• Hiding the results
• Not actually doing the research
Four problems
56.
57. • Asking “loaded” questions
• Manipulating the results
• Hiding the results
• Not actually doing the research
Four problems
59. “Return on Investment is based on historic
data. It is a backward-looking metric that
yields no insights into how to improve
business results in the future.”
www.maxi-pedia.com
60. • Examine the research sources
• Ask relevant follow-up questions
• Don’t trust client research. Verify it.
• Watch out for personal or political agendas
• Call bullshit when you see it (diplomatically)
What you can do
61. • Being principled is challenging
• There are consequences to your actions
• Be gentle if you can
• The greater the ethical violation, the harder
you need to push
• Sometimes, it’s good to get fired
Some thoughts on “calling bullshit”
68. • Ask yourself if the content is honest
• Ask yourself if this is really in the user’s best
interests
• Ask yourself if this is in the business’s best
interests
• Don’t force content providers to publish
information they cannot provide
What you can do
70. • Bait-and-switch techniques
– Online casinos
• Peer pressure techniques
– Snapchat, Instagram, Facebook
• Ludomania disguised as entertainment
What to look out for
75. • Sites that trick you to:
– Opt in to something you do not want
– Buy something you do not want
• Sites that require information they are not
entitled to:
– Telephone number
– Personal details (e.g. gender)
What to look out for
76.
77. • People do not read very carefully
• People will often accept that they have been
tricked because it takes too long to put things
right again
Some sad facts
78. • Bait-and-switch
• Disguised ads
• Forced continuity
• Friend spam
• Hidden costs
• Misdirection
• Price comparison prevention
• Private Zuckering
• Roach motel
• Sneak into basket
• Trick questions
Some patterns to watch out for
89. • Designs that are “flavour of the month”
– WordPress
– Flat design
• Colleagues who do not meet their obligations
• Clients and employers who are asking you to
bend your personal code of ethics
What to look out for
92. Clive K. Lavery | “Being a Digital Do-gooder”| 27 September, 2016
93. Clive K. Lavery | “Being a Digital Do-gooder”| 27 September, 2016
94. • If you are a manager, give your team members
and opportunity to opt out
• If you are a team member, let your manager
know if the projects makes you uncomfortable
• Respect any NDAs you have signed
• If you make a promise, keep it!
What you can do
97. • Validate your assumptions
• Test your prototypes, apps, and existing sites
with real users
• Mine the existing data for genuine insights
• Check for cultural bias
– Racist, religious, and sexist discrimination
• Train your algorithm with unbiased data
• Monitor your AI bot regularly
What you can do
102. • So-called UX projects where no one has
actually ever talked to a user
• Fake personas
• Projects where assumptions are given the
same weight as actual research
• Team members who exhibit strong cognitive
bias
• Civil servants and mediocre managers who
just want an impressive report, but do not
actually want to improve UX
What to look out for
131. “In fascism, the idea is that we’re not
individual human beings who have
thoughts and reflect before we speak, the
idea is that we are tribes. And the politics
begin with deciding who the enemy is.”
Timothy Snyder
Historian, Author “The Road to Unfreedom”