New #PhD position in Copenhagen, Denmark 🇩🇰 to do #HCI research on #privacy and #interoperability in messaging apps! Come work with me and @nielsvberkel at @CompSciAAU, fully funded for 3 years. Deadline to apply is May 18. Find me at #CHI2025 to chat!
https://t.co/4pNZHZsp63
A Ph.D. studentship with @jhnhw & myself @UofGlasgow in the ERC DIFAI project will look at developing “mediating mechanisms” as a way to link machine learning to HCI in tightly-coupled control loops. Deadline 14th Jan. https://t.co/QulSVw4lRU
@conorlinehan It's pretty ridiculous how we're so strict about stuff like the number of columns in a draft, but have no good process for desk rejecting submissions based on overall quality
New article in @acmtochi: We investigate the tensions that the use of large-scale automated edits and bots brings to editors of @openstreetmap. Work together with @henningpohl. Looking forward to presenting this at #chi2025 https://t.co/wq4Jz3s2d2
Just presented some fun work of five previous students of mine at #imx2024 on how to use generative-AI for personalized media experiences. Paper: https://t.co/7AghIMsxlb, Video: https://t.co/HrBdkm9AK1
How should LLMs react if they can’t or don’t want to give you a proper answer? We find that diverting the conversation works surprisingly well for avoiding interaction breakdowns.
#CHI2024@TimSchrills@henningpohl@nielsvberkel
Preprint: https://t.co/lrDRKm9pPC
Maybe it's useful for others, so here's the CSS I inject into the #chi2024 review page (just another <style> tag in the head) to make them nicer to read (columns, remove header, divider between reviews) when I print them (in landscape format): https://t.co/nc1Mbwr4i7
Academic publishers make USD 19 billion+ in sales based on our work.
5 websites you can google to get access to paywalled papers if you can't reach the authors:
1. Sci-Hub
2. Unpaywall
3. 12ft ladder
4. Paperpanda
5. Open Access Button
@dblp_org@acm_chi@ACMDL@sigchi I've had some papers missing, author orders mixed up, and incomplete data (mostly dois missing). Already sent in the ones I encountered, but makes me wary overall. That said, that data also has some issues right at the source (ACM in this case), so I wouldn't blame dblp for that.
Trying to run some automated analyses of @acm_chi papers and the @ACMDL and @sigchi metadata is often such a mess. Differing acceptance rate info (see e.g., CHI '15), wrong paper types, numbers off, chair info wrong, ... Tried data from @dblp_org, which also has some issues 🤷♂️😟
I guess there are some uses for the Crossmark button (https://t.co/A0uQwgeorM) now apparently added to pdfs on the @ACMDL, but why is this a printable element? Did nobody think this through?
It's just 6 datasets from me & colleagues right now and thus also not very diverse. If others are happy to donate some of their own data, that would be great! No personal data + all coauthors need to be on board. Just submit a pull request on github: https://t.co/ZIOhxszAYX
When teaching quant. methods, I found it quite annoying how there is a lack of #hci dataset that are easy to use during class and in assignments. To fix that, I've started the hcidata package for R, now available on CRAN: https://t.co/uuw9XAotez