Assessing the robustness of automated scoring of divergent thinking tasks with adversarial examples
Bibliographic Data
| ID | 21832231 |
|---|---|
| Authors | Yannick Hilker, Boris Forthmann (0000-0001-9755-7304), Philipp Doebler (0000-0002-2946-8526) |
| Year | 2025 |
| Publication date | 2025-04-28 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Psychology of Aesthetics Creativity and the Arts (JOURNAL) |
| Journal identifiers | ISSN: 1931-3896 • E-ISSN: 1931-390X |
| Publisher | American Psychological Association (APA) (PUBLISHER) |
| DOI | 10.1037/aca0000770 |
| OpenAlex | W4410003952 |
| Language | EN |
| Citations received | 1 |
R and Python Code for: "Assessing the robustness of automated scoring of divergent thinking tasks with adversarial examples"
Adversarial system · Cognitive psychology · Natural language processing · Adversarial Robustness in Machine Learning · Computer Science · Explainable Artificial Intelligence (XAI · Psychology · Social Psychology · Artificial Intelligence
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |