Cognitive Stimulation Interfaces: How to Circumvent the Obvious
From 35C3 Wiki
| Description | Let's talk about creating the software that stimulates imagination and creative thinking, not consumerism and dopamine addiction. I will also demonstrate a text network analysis tool called InfraNodus that helps visualize a text as a network to generate insight about a discourse. |
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| Website(s) | http://noduslabs.com |
| Type | Discussion |
| Kids session | No |
| Keyword(s) | social, political, software, network, web, hacking, coding |
| Tags | cognition, thinking, interfaces, hacking, programming, recommender systems, serendipity |
| Person organizing | |
| Language | en - English |
Other sessions...
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| Starts at | 2018/12/30 15:10 |
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| Ends at | 2018/12/30 16:10 |
| Duration | 60 minutes |
| Location | Room:Lecture room M1 |
Most of the software today is based on the notion of efficiency: how quickly it can resolve a certain task, how much attention it can harness, how much profit it can bring.
In the first part of this talk (15 mins) I propose to have a discussion about the software that has other objectives. How we can create the tools that stimulate imagination and enhance our perception, offering to do something in a way that is not necessarily efficient, but definitely much more interesting. We will also share some examples that we know of.
In the second part of the session (15 mins) I will talk about the open-source text network insight generation tool http://infranodus.com — how it works, what it can do, and how it can be used to analyze discourse and generate novel ideas. I will use it as an example of the software that finds its value outside of the capitalist-driven parameters and yet has a functioning model in place that allows it to be self-sustainable.
In the third part of the talk (30 mins) we get get into a more in-depth discussion of any of the topics above, including text network analysis methodology that InfraNodus use and its possible use outside of the scope of text network analysis in other contexts and domains. If we find a use case we can try out, we will do it during the session to see what kind of results we obtain.