Home  | News

21.04.2023

Tiny logo
Teaser image to MCML at CHI 2023

Four Accepted Papers

ACM CHI Conference on Human Factors in Computing Systems, Hamburg, Germany, Apr 23-28, 2023

We are happy to announce that MCML researchers have contributed a total of 4 papers to CHI 2023. Congrats to our researchers!

Main Track (4 papers)

N. Pröllochs • S. Feuerriegel
Mechanisms of True and False Rumor Sharing in Social Media: Collective Intelligence or Herd Behavior?
CHI 2023 - ACM CHI Conference on Human Factors in Computing Systems. Hamburg, Germany, Apr 23-28, 2023. DOI

M. Rusu • S. Mayer
Deep Learning Super-Resolution Network Facilitating Fiducial Tangibles on Capacitive Touchscreens.
CHI 2023 - ACM CHI Conference on Human Factors in Computing Systems. Hamburg, Germany, Apr 23-28, 2023. DOI

M. WindlA. Schmidt • S. S. Feger
Investigating Tangible Privacy-Preserving Mechanisms for Future Smart Homes.
CHI 2023 - ACM CHI Conference on Human Factors in Computing Systems. Hamburg, Germany, Apr 23-28, 2023. DOI

M. Windl • V. Winterhalter • A. Schmidt • S. Mayer
Understanding and Mitigating Technology-Facilitated Privacy Violations in the Physical World.
CHI 2023 - ACM CHI Conference on Human Factors in Computing Systems. Hamburg, Germany, Apr 23-28, 2023. DOI

#research #top-tier-work #feuerriegel #mayer #schmidt
Subscribe to RSS News feed

Related

Link to Tom Sterkenburg Wins Karl-Heinz Hoffmann Prize of the Bavarian Academy of Sciences

08.12.2025

Tom Sterkenburg Wins Karl-Heinz Hoffmann Prize of the Bavarian Academy of Sciences

MCML JRG Leader Tom Sterkenburg receives the Karl-Heinz Hoffmann Prize of the BAdW for his interdisciplinary research.

Link to World’s First Complete 3D Model of All Buildings Released

04.12.2025

World’s First Complete 3D Model of All Buildings Released

Xiaoxiang Zhu’s team releases GlobalBuildingAtlas, a high-res 3D map of 2.75B buildings for advanced urban and climate analysis.

Link to When to Say "I’m Not Sure": Making Language Models More Self-Aware

04.12.2025

When to Say "I’m Not Sure": Making Language Models More Self-Aware

ICLR 2025 research by the groups of David Rügamer, and Bernd Bischl introduces methods to make LLMs more reliable by expressing uncertainty.

Link to Research Stay at Princeton University

01.12.2025

Research Stay at Princeton University

Abdurahman Maarouf spent three months at Princeton with the AI X-Change Program, advancing causal ML and studying short-form video platform effects.

Link to

28.11.2025

MCML at NeurIPS 2025

MCML researchers are represented with 47 papers at NeurIPS 2025 (38 Main, and 9 Workshops).

Back to Top