| Autor: |
Prossinger, Hermann, Binter, Jakub, Machová, Kamila, Říha, Daniel, Boschetti, Silvia |
| Přispěvatelé: |
Ahram, Tareq, Taiar, Redha |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Human Interaction & Emerging Technologies (IHIET-AI 2022): Artificial Intelligence & Future Applications, nestránkováno. (2022) |
| ISSN: |
2771-0718 |
| DOI: |
10.54941/ahfe100903 |
| Popis: |
We use AI techniques to statistically rigorously analyze combinations of query responses of two personality-related questionnaires. One probes aspects of a participant’s tendency for uncommitted sexual behavior (SOI-R) and the other avoidance of aversive outcomes together with approaches to goal orientated outcomes (BIS/BAS). We use one-hot encoding, dimension reduction with a neural network (a seven-layer auto-encoder) and two clustering algorithms to detect associations between the twelve combinations of SOI and BIS/BAS groups. We discover that for most combinations more than one association exists. Traditional, fallacious statistical methods cannot find these outcomes. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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