Identify Addictive Application Patterns
As our environment gets more complex we need to be better educated to navigate it. For example, I think that people would be more protective of their privacy, if they learned all the ways the data is used to manipulate them. I have been considering lately that we need to better identify other patterns that are intentionally used to create addictive behavior in applications and websites. Knowing these patterns may allow us to understand certain features for what they are and avoid them.
Pull to Refresh
Bucket this in with any refresh mechanism that gives you that rewards when there is occasionally something new to see. Open your email and pull to refresh? Is there anything new? It is reward seeking behavior. It is well established that having a random award (new email!) appear after an action is an addictive pattern.
This pattern ties into our desire to “finish” a set of activities. When we have read through all of the items, we get that reward of completion. Infinite scroll tricks us into reading more and more, waiting to get to the end. Eventually we realize that we will never get to the end and have to give up. Instead of the reward of being done, we have the shame of giving up.
These come in two flavors, public and private. How many likes did that post get? That is a direct feedback loop to reinforce some pattern of desired behavior. This is an obvious one to see and is present in all social feedback loops.
There is also Analytics as Addiction. Exposing the activity based on your content is on the surface a good intent to inform you on how effective your content is to some goal, whatever that may be. But it also reinforces a desire to check repeatedly and insidiously alter behavior to steer to more engagement.