Jan D
#UX Research, #Design, Science and Technology Studies (#STS), #Anthropology.
Some coding (JS, Python) and software architecture
Pronouns: he/him or they/them.
»I've owned a copy of Ludwig Wittgenstein's Philosophical Investigations for years, but I read it the way Everett Hughes told me to read the sociological writings of Georg Simmel: not to get a full understanding of what the author might have meant, but rather as a way of generating ideas I could use in my own research and thinking.« (Howard Becker, »Tricks of the Trade«)
"Guidelines for the Development of Icon Metaphors"
»Blender Studio is a team of artists and developers working within the Blender project, focused on creating cutting-edge content, sharing production knowledge, testing and contributing improvements to the latest in-development version of Blender. This process is called content-driven development, and has been a core part of the Blender projects since 2006.«
For designing desktop apps, the old Windows Interface Guidlines are still very useful for answering boring but important questions like: "How to apply changes made in a tabbed dialog" (it has a detailed section on that.
I really like »Tracer Bullet Development«: It is a simple method, focussed on practices rather than attitudes.
Sadly, I can't find any good summary on the web. It is totally worth getting "The Pragmatic Programmer" and "Ship it" to read up on it, but it would still help to just send peers a link.
Like "Tested with synthetic users"
Review of the "synthetic users" in UX research.
https://measuringu.com/review-of-experiments-with-synthetic-users
I think "synthetic users" is a terrible idea, but have a look at the research, which often leans towards that it is not good even aside of professional, ethical and political considerations.
"AI finally empowers normal people to be programmers"
uhm, Spreadsheets? Hypercard?
Rick Roderick "Self under Siege" lectures on (postmodern) philosophy in the 20th century:
https://www.youtube.com/watch?v=4wetwETy4u0&list=PLA34681B9BE88F5AA
LLMs/machine learning won’t go away, just like the Internet won’t.
The more it is build into infrastructures, the harder it is to get rid of it but are plenty of technologies that went away, or at least receive so few funding that they are not further developed (and LLMs need to be trained and ran). So it is actually possible.
Keine Ahnung wie, aber es sollte ein Seminar werden.
“Symbols are often defined as things ‘standing for’ other things. But they do not represent these ‘other things’ unambiguously: indeed, as argued above, if they did so they would be superfluous and redundant. … they ‘express’ other things in ways which allow their common form to be retained and shared among the members of a group, whilst not imposing upon these people the constraints of uniform meaning.”
Cohen, "The Symbolic Construction of Community"
RE: @opensourcedesign@mastodon.social
"What are patterns of rejection of design input/contributions?"
- Aesthetics framed as being opposed to efficiency
- Rejection of defaults
- Keeping ideosyncracies
- disagreements lead to demand for settings
- no feedback/rejection that allows improvement
There is a huge difference in the qualities of these options. I agree. My interest was in potential assymmetries of reaching others, not in assuming that "engagement" or some kinds of it are good – thus the suggestion to look at follower counts.
»By betting on extreme ultraviolet lithography long before it worked, ASML became the chokepoint for cutting-edge chips.«
https://worksinprogress.co/issue/the-worlds-most-complex-machine/
RE: @opensourcedesign@mastodon.social
Also curious about replies here (but you can also get an account for the @opensourcedesign@mastodon.social discourse!)
