Maren Mayer
@marenmayer.bsky.social
PostDoc at Leibniz-Institut für Wissensmedien, Tübingen | Interested in group decision making, group information sharing, crowd wisdom, cognitive modeling
📢New preprint together with Teresa Luther and Joachim Kimmerle out now!
When completing writing tasks with AI, people evaluate the AI more positively, delegate more tasks to it, but also more strongly overestimate their own contribution if the AI is more anthropomorphic!
tinyurl.com/386a7ytz
When completing writing tasks with AI, people evaluate the AI more positively, delegate more tasks to it, but also more strongly overestimate their own contribution if the AI is more anthropomorphic!
tinyurl.com/386a7ytz
(PDF) The role of perceived anthropomorphism and anthropomorphic design elements in willingness to delegate writing tasks to AI: Findings from a large-scale survey and a randomized controlled experime...
PDF | With the growing integration of text-generating AI systems like ChatGPT into writing, understanding the factors that influence human-AI... | Find, read and cite all the research you need on Rese...
tinyurl.com
July 8, 2025 at 10:55 AM
📢New preprint together with Teresa Luther and Joachim Kimmerle out now!
When completing writing tasks with AI, people evaluate the AI more positively, delegate more tasks to it, but also more strongly overestimate their own contribution if the AI is more anthropomorphic!
tinyurl.com/386a7ytz
When completing writing tasks with AI, people evaluate the AI more positively, delegate more tasks to it, but also more strongly overestimate their own contribution if the AI is more anthropomorphic!
tinyurl.com/386a7ytz
Reposted by Maren Mayer
🚀Postdoc position @unimarburg.bsky.social in the project:
"Bridging the Gap Between Verbal Psychological Theories & Formal Statistical Modeling with Large Language Models"
(funded by @volkswagenstiftung.de)
📅Start: 01.10.2025 | ⏳4 years
🔗 Apply now: uni-marburg.de/jhbCen
🔄 Thanks for sharing!
"Bridging the Gap Between Verbal Psychological Theories & Formal Statistical Modeling with Large Language Models"
(funded by @volkswagenstiftung.de)
📅Start: 01.10.2025 | ⏳4 years
🔗 Apply now: uni-marburg.de/jhbCen
🔄 Thanks for sharing!
Postdoc
uni-marburg.de
May 28, 2025 at 11:52 AM
🚀Postdoc position @unimarburg.bsky.social in the project:
"Bridging the Gap Between Verbal Psychological Theories & Formal Statistical Modeling with Large Language Models"
(funded by @volkswagenstiftung.de)
📅Start: 01.10.2025 | ⏳4 years
🔗 Apply now: uni-marburg.de/jhbCen
🔄 Thanks for sharing!
"Bridging the Gap Between Verbal Psychological Theories & Formal Statistical Modeling with Large Language Models"
(funded by @volkswagenstiftung.de)
📅Start: 01.10.2025 | ⏳4 years
🔗 Apply now: uni-marburg.de/jhbCen
🔄 Thanks for sharing!
📢 Now out at Computers in Human Behavior: doi.org/10.1016/j.ch...
In two studies, @danielheck.bsky.social, Joachim Kimmerle and I show that a sequential judgment process is more successful in judgment aggregation than wisdom of crowds. Opting out even increases this advantage.
In two studies, @danielheck.bsky.social, Joachim Kimmerle and I show that a sequential judgment process is more successful in judgment aggregation than wisdom of crowds. Opting out even increases this advantage.
February 4, 2025 at 8:16 AM
📢 Now out at Computers in Human Behavior: doi.org/10.1016/j.ch...
In two studies, @danielheck.bsky.social, Joachim Kimmerle and I show that a sequential judgment process is more successful in judgment aggregation than wisdom of crowds. Opting out even increases this advantage.
In two studies, @danielheck.bsky.social, Joachim Kimmerle and I show that a sequential judgment process is more successful in judgment aggregation than wisdom of crowds. Opting out even increases this advantage.
📢New preprint out "Minimizing social bias with sequential collaboration: The role of contributor features in dependent judgments"
In five studies, we show that sequential collaboration is basically unaffected by information about previous contributors.
In five studies, we show that sequential collaboration is basically unaffected by information about previous contributors.
https://aspredicted.org/jy64-7mv7.pdf"
January 13, 2025 at 5:51 PM
📢New preprint out "Minimizing social bias with sequential collaboration: The role of contributor features in dependent judgments"
In five studies, we show that sequential collaboration is basically unaffected by information about previous contributors.
In five studies, we show that sequential collaboration is basically unaffected by information about previous contributors.
Finally pulished my computational cognitive model of sequential collaboration in Psychonomic Bulletin & Review 🥳
New paper published in Psychonomic Bulletin & Review 🥳
doi.org/10.3758/s134...
doi.org/10.3758/s134...
January 10, 2025 at 1:23 PM
Finally pulished my computational cognitive model of sequential collaboration in Psychonomic Bulletin & Review 🥳