Benjamin Gagl
Biographic Data
| ID | 1753049 |
|---|---|
| NAME | Benjamin Gagl |
| GIVEN NAMES | Benjamin |
| FAMILY NAME | Gagl |
| SIGNATURE | GAGL B |
| AFFILIATIONS | Goethe University Frankfurt |
| ORCID | 0000-0002-2339-6293 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 10 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Can Large Language Models Generate Useful Linguistic Corpora
Linguistic corpora are an essential resource in psycholinguistic research. Here, we generate new corpora using large language models (LLMs) and determine their usefulness for estimating the word frequency effect on reading performance, focusing on German children. We prompted three different LLMs to create corpora of children’s stories using the titles of 500 books, mimicking an existing corpus of children’s books (childLex). In Experiment 1, we …
Eye movements during text reading align with the rate of speech production
Inducing Thought Processes
The challenge in inferring cognitive processes from observational data is to correctly align overt behavior with its covert cognitive process. To improve our understanding of this overt–covert mapping in the domain of decision making, we collected eye‐movement data during decisions between gamble‐problems. Participants were either free to choose or instructed to use a specific choice strategy (maximizing expected value or a choice heuristic). We …
Inducing Thought Processes
The challenge in inferring cognitive processes from observational data is to correctly align overt behavior with its covert cognitive process. To improve our understanding of this overt–covert mapping in the domain of decision making, we collected eye‐movement data during decisions between gamble‐problems. Participants were either free to choose or instructed to use a specific choice strategy (maximizing expected value or a choice heuristic). We …
Eye movements during text reading align with the rate of speech production
Inducing Thought Processes
The challenge in inferring cognitive processes from observational data is to correctly align overt behavior with its covert cognitive process. To improve our understanding of this overt–covert mapping in the domain of decision making, we collected eye‐movement data during decisions between gamble‐problems. Participants were either free to choose or instructed to use a specific choice strategy (maximizing expected value or a choice heuristic). We …
Eye movements during text reading align with the rate of speech production
Can Large Language Models Generate Useful Linguistic Corpora
Linguistic corpora are an essential resource in psycholinguistic research. Here, we generate new corpora using large language models (LLMs) and determine their usefulness for estimating the word frequency effect on reading performance, focusing on German children. We prompted three different LLMs to create corpora of children’s stories using the titles of 500 books, mimicking an existing corpus of children’s books (childLex). In Experiment 1, we …
Artificial Intelligence (2 works) · Computer Science (2 works) · Eye movement (2 works) · German (2 works) · Psychology (2 works) · Cognition (1 works) · Cognitive psychology (1 works) · Corpus linguistics (1 works) · Covert (1 works) · Decision-Making and Behavioral Economics (1 works)