Discover and read the best of Twitter Threads about #chi2019

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Thread: How HCI research helped improve the French keyboard🇫🇷

It came out yesterday: The new AZERTY, the first keyboard standard created with the help of HCI and algorithms.

What a ride! Optimization + Models + Participatory Design

aalto.fi/news/changing-…

Scroll on👇 (1/14)
The NEW AZERTY includes commonly used characters, such as œ, « », É, -- and 60 other new characters. Arranged into intuitive groups. The layout is designed to improve ergonomics and performance.

Shout out to @AnnaFeit Mathieu Nancel, Andreas Karrenbauer, Maximilian John
2/
It all started in 2015 when the Ministry of Culture wrote in Le Monde that Azerty does not support grammatically correct French. (Ironically, it had better support for English characters.)

Here's the OLD Azerty:

Try typing « À l’évidence, l’œnologie est plus qu’un ‘hobby’ 3/
Read 16 tweets
I couldn't be more thrilled that our paper - "Data is Personal: Attitudes and Perceptions of Data Visualization in Rural Pennsylvania" - received a Best Paper Award at #chi2019! 🎉

Blog post soon, but until then:
- paper: arxiv.org/abs/1901.01920
- data: osf.io/uxwts/
If you never read our paper, read this:
- Interpreting data is *critical* in 2019
- Vis amplifies our interpretation, but probably not equally for everyone
- We need to do better understanding who does (and doesn't!) currently trust or value vis
- If we don't, we deepen divides
PAPER SUMMARY THREAD

First, I want to share the awesome research by @jennaburrell on connectivity in rural regions because I think it's an important reminder that our access to data is NOT equal and that we should be exploring these inequalities more (firstmonday.org/ojs/index.php/…)
Read 22 tweets
Really excited to announce our (Pierre Dragicevic, Yvonne Jansen, @abhsarma, me, @zirtech) paper on Explorable Multiverse Analyses. We make multiverse analyses (a la Steegen, @StatModeling, et al) interactive through explorable explanations (a la @worrydream). THREAD ---> 1/7
There is a multiverse of possible ways data in a paper could have been transformed, analysed, or reported. Instead of a stale old PDF, what if you could change these options to inspect that multiverse? 2/7
As an author, you might wish to provide a variety of analyses you consider reasonable. As a reader, you might wish to judge how robust an analysis is to these alternatives. Animation can help explore the multiverse --- this particular interaction may not be so robust. 3/7
Read 8 tweets

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