Gamification Cheat Sheet (download)

Gamification Cheat Sheet (download)

The more subtle elements used in game design to motivate gamers, work just as well on users in everyday design. So whilst I’m retiring some of my notebooks to the shoebox, I’m not retiring my notes on gamification. If you promise to avoid using the PBL triad as much as possible, here’s my Gamification Cheat Sheet pdf for you.

Why the EU ‘Privacy Icons’ are disastrous

Why the EU ‘Privacy Icons’ are disastrous

Some member of parliament must have severely misunderstood the meaning of ‘privacy-by-design’. These ‘standardised privacy icons’ and their logic are that disastrous, that enforcing these will not strengthen but weaken the new European privacy legislation. The icons and copy suggestions are unclear, unusable and being forced to show these will punish especially the companies and organisations who do privacy right.

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Notebook

The Obvious Data Usage Principle

The Obvious Data Usage Principle

What if you take the user’s point of view, and a transparency approach to using only data points that are actually useful? The the obvious data usage principle (ODUP) as described in the The data chicken and egg problem paper by Håkan Jonsson is exactly what you need to be ‘deliberate’ from a user perspective.

IoT Design Manifesto 1.0

IoT Design Manifesto 1.0

The Internet of Things Design Manifesto is a living guideline for responsible design in a connected world.

TrustUX: Sources

TrustUX: Sources

Sources of the quotes, statistics and some of the ideas presented in my Strata+Hadoop talk TrustUX: Balancing personalisation and privacy to create understanding and trust, in no particular order.

OmniCurious (April 2015)

OmniCurious (April 2015)

Additional tidbits of knowledge, gathered in April 2015 (aka what happens when you consider your blog to be one giant notebook). This month on measuring usability, user semantic time, privacy gap assessment, the connected service experience and emotion and activity markup languages.

Your Data & Algorithmic Self

Your Data & Algorithmic Self

As we are treated algorithmically (as a set of data points subject to pattern recognition engines), we are conditioned to treat others similarly. – Frank Pasquale

How (not) to train your robot

How (not) to train your robot

We should be careful not to teach robots our biases and discrimination practices towards people who do not belong to ‘our’ community. After all, democratic robot learning would mean we actually do have to lead by example.