Transparency and Control

by Joshua Porter  |   March 5th, 2006  |  shortlink: http://bokardo.com/p/372

Yesterday I talked about liking the term transparent personalization.

But today I’m still mulling it over.

Does it mean that we completely see and comprehend the personalization that’s going on? I consider Amazon book recommendations transparent in this way. I can tell Amazon whether or not to include certain purchases in their recommendations, and I can tell them if I’m not interested in something they recommended.

Or does it mean, by including the word implicitly, that we don’t see how things are recommended to us, and that it’s simply done behind the scenes? I think that many new services are trying to get to this point, but I don’t think that it gives the user enough control, or more to the point, the illusion of control.

If something is transparent, then you don’t see it. However, we often use the term to mean that we see it for what it is, as in “his motives were transparent”.

In my talk about Leveraging the Network I made the mention that users want to be in control. Is there a piece of software that you love that doesn’t give you the feeling of control?

In addition, control is about action, and results of our actions. If we completely release people of their ability to make actionable changes in software, they’ll start to feel like they don’t have control. So let them change things, add things, vote on things. And take those changes into consideration when making recommendations. And then, most importantly, let the user know what you did, and they’ll still feel in control.

We don’t want the Web feeling like TV.

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Comments

1.  paolo 6:42am, Mon 6th, 2006

Have you seen this?

” Amazon Uses Faux Suggestions To Promote New Clothing Store”
http://www.happinessonline.org/MoralCode/LiveWithTruth/p26.htm

User’s data must be exportable by the user (who can make them public to everyone if she wants to).
In this way, she can run a recommendation algorithm on her device (for example on her mobile). Or she can enter these information into another Recommender System. Or, if she made the data public, different Recommender Systems are able to offer her recommendations.
Trusting someone else for generating recommendations on your behalf (without the possibility to check the biases behind the computation) is foolish … or 1984-ish, if you prefer.
Sorry, if the comment sounds too passionate …

2.  Kevin Burton 2:50am, Tue 7th, 2006

Yeah… I have to agree. When I started designing Tailrank this is a major component that I wanted to remain in the hands of the user. While I want our personalization to be easy I want the user to be in control.

3.  Josh 11:56am, Wed 8th, 2006

I’ll be anxious to see what you come up with, Kevin. I’m using Tailrank more and more, and consider it my memetracker of choice at the moment…