@TimSchrills

PhD candidate at @UniLuebeck in Psychology with Focus on Explainable Artifical Intelligence #XAI #ExplainableAI

 Lübeck
engineering-psychology.org/de/
Joined December 2019
  • Tweets960
  • Following637
  • Followers290
24Media
Tim Schrills retweeted
Mark Riedl@mark_riedl24 Sep 2024
Hi all. I am co-organizing a Summit on Responsible Computing, AI, and Society at @GeorgiaTech Oct 28-30. We will actively discuss the future of human-centered AI, healthcare, sustainability, and tech policy. rcais.github.io/ You should come.

2026 Summit on Responsible Computing, AI, and Society

2026 Summit on Responsible Computing, AI, and Society

rcais.computing.gatech.edu
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Tim Schrills retweeted
Daniel Buschek@DBuschek22 Mar 2024
📢 Update on my list: The #HCI + #AI preprint collection now lists about 200 #CHI2024 papers! 🤩 Thank you all for sharing, further suggestions welcome! medium.com/human-centered-ai…

CHI’24 Preprint Collection HCI + AI

Looking for current research on HCI + AI? Here’s a list.

medium.com
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Tim Schrills retweeted
ACM IUI 2027@ACMIUI22 Mar 2024
Special thank you to all of the chairs that made #IUI2024 possible!
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Tim Schrills retweeted
ACM IUI 2027@ACMIUI20 Mar 2024
Day 2 of the main conference for #IUI2024 opens with a highly anticipated keynote from Dr. Krzysztof Gajos
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We are currently conducting a small survey about our "AI Time Machine" and would be happy to get some participants (in German): forms.gle/6DQ43gPkoo6sk7Um6

KI-Zeitmaschine

Künstliche Intelligenz kann heute bereits realistisch-wirkende Bilder erzeugen. Wir (ein Team der FH Hagenberg) hat ein neues Tool erstellt, welches es erlaubt mit Bildern eine "Zeitreise" zu machen,...

docs.google.com
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Tim Schrills retweeted
ACM IUI 2027@ACMIUI20 Mar 2024
Our AI and health paper session featured research spanning across XAI for Automated Insulin Delivery Systems, Evaluative methods for medical professionals treating movement disorders eg. Parkinsons Disease & chatgpt powered mental health chatbots #IUI2024
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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: joelwester.com/wp-content/up…
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🚨Thrilled to announce our CHI'24 workshop: 🧠Theory of Mind in Human-AI Interaction🤖 What is ToM in HAI? Can AI have a ToM? How can we understand human's mental state attribution behaviors (e.g., anthropomorphism) to AI? Submit your work by Feb 22: theoryofmindinhaichi2024.wor…

CHI 2024 Workshop on Theory of Mind in Human-AI Interaction

Visit the post for more.

theoryofmindinhaichi2024.wordpress.com
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📢Interested in an internship on responsible language technologies, AI transparency/explainability, human-centered AI, impact of complex sociotechnical systems, or preserving human agency? Our team's (@sulin_blodgett @QVeraLiao & I) intern call is up!🎉 jobs.careers.microsoft.com/g…
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Looking forward to your papers and demos on Human-AI Co-Creation and Co-Creativity at our 5th IUI workshop on Human-AI Co-Creativity with Generative Models.
Daniel Buschek@DBuschek29 Nov 2023
📢We're back with our 5th "HAI-GEN" workshop on Human-AI Co-Creation with Generative Models, at @ACMIUI! 👉Submit a paper/demo by Jan 16: hai-gen.github.io/2024/cfp/ with @wernergeyer, Mary Lou Maher, Justin Weisz, @LydiaChilton #HAIGEN2024 #CHI #HCI #AI #IUI2024
Title slide for the workshop, showing a card on colored background, with three questions: 1. How do we design, implement, and evaluate intent-based co-creative experiences that enhance human creativity? 2. How will user needs drive the development of generative AI? 3. How can we leverage generative AI for positive & effective co-creative user experiences?

ALT Title slide for the workshop, showing a card on colored background, with three questions: 1. How do we design, implement, and evaluate intent-based co-creative experiences that enhance human creativity? 2. How will user needs drive the development of generative AI? 3. How can we leverage generative AI for positive & effective co-creative user experiences?

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Wir haben gestern Abend unsere Preise für herausragende Leistungen in #Forschung und #Lehre verliehen. Herzlichen Glückwunsch an alle Preisträger*innen! uni-luebeck.de/aktuelles/nac…
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Do we lean back when working together with a #Robot teampartner? We investigated social loafing in #HRI ... and spoiler alert: yes, we do.
Human-Automation Interaction Lab@HAI_Research18 Oct 2023
Helene Cymek and @LindaOnnasch are making waves with their research on HRI! The @Guardian showcases their latest paper on social loafing, providing a fresh perspective on teamwork in the digital age. Dive in: theguardian.com/science/2023…📰🤖 #HRI #socialloafing #Robot

‘Social loafing’ found when working alongside robots

Study finds people tend to pay less attention when working with robots, just like with respected human colleagues

theguardian.com
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Tim Schrills retweeted
Eric Topol
@EricTopol5 Jul 2023
"The most exciting result from our study is the indication that profiling antigen-specific CD4 T cells from peripheral blood has the potential to measure [T1 diabetes] autoimmunity in near real time and with high accuracy." science.org/doi/10.1126/scit… @scrippsresearch @ScienceTM

Measuring anti-islet autoimmunity in mouse and human by profiling peripheral blood antigen-specific...

Activation state of circulating anti-insulin CD4 T cells reflects the progression of anti-islet immunity.

science.org
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Woo hoo. I got to hold a copy of our book in my hands today! Great feeling
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📣 Why do many existing (feature-based) explanations fail to improve human decision-making & lead to overreliance? Why do we find that example-based explanations lead to complementary performance? We have answers in our upcoming #CSCW2023 paper. 🧵👇 arxiv.org/abs/2301.07255
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Tim Schrills retweeted
Marvin Kopka@kopka_sci20 Jun 2023
8/8 Find the full paper here: jmir.org/2023/1/e46231

Characteristics of Users and Nonusers of Symptom Checkers in Germany: Cross-Sectional Survey Study

Background: Previous studies have revealed that users of symptom checkers (SCs, apps that support self-diagnosis and self-triage) are predominantly female, are younger than average, and have higher...

jmir.org
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📢 New Paper: Explainable Artificial Intelligence (#XAI) improves human decision-making! This is the main result of our NEW study with 328 visitors from the @ArsElectronica Festival. @jkulinz 👉 Read the #OpenAccess article here: tandfonline.com/doi/full/10.… 👇 Summary below (🧵)

Explainable Artificial Intelligence Improves Human Decision-Making: Results from a Mushroom Picking...

Explainable Artificial Intelligence (XAI) enables Artificial Intelligence (AI) to explain its decisions. This holds the promise of making AI more understandable to users, improving interaction, and...

tandfonline.com
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