Marvin Neumann
Biographic Data
| ID | 6540544 |
|---|---|
| NAME | Marvin Neumann |
| GIVEN NAMES | Marvin |
| FAMILY NAME | Neumann |
| SIGNATURE | NEUMANN M |
| AFFILIATIONS | Vrije Universiteit Amsterdam |
| ORCID | 0000-0003-0193-8159 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Predicting decision-makers’ algorithm use
Decision makers typically integrate multiple pieces of information to make predictions and decisions. They also sometimes receive algorithmic advice, but often discount such advice. This usually results in less consistent and less accurate predictions than consistently using the advice. We hypothesized that individual differences on psychological traits such as dutifulness (a facet of conscientiousness), decision-making styles, and predictor vali…
The autonomy‐validity dilemma in mechanical prediction procedures: The quest for a compromise
A robust finding in psychological research is that combining information with a mechanical rule results in more valid predictions than combining information holistically in the mind. Nevertheless, information is typically combined holistically in practice, resulting in suboptimal predictions and decisions. Earlier research showed that decision makers are more likely to use mechanical prediction procedures when they retain autonomy in the decision…
No prominent works on this page.
The autonomy‐validity dilemma in mechanical prediction procedures: The quest for a compromise
A robust finding in psychological research is that combining information with a mechanical rule results in more valid predictions than combining information holistically in the mind. Nevertheless, information is typically combined holistically in practice, resulting in suboptimal predictions and decisions. Earlier research showed that decision makers are more likely to use mechanical prediction procedures when they retain autonomy in the decision…
Predicting decision-makers’ algorithm use
Decision makers typically integrate multiple pieces of information to make predictions and decisions. They also sometimes receive algorithmic advice, but often discount such advice. This usually results in less consistent and less accurate predictions than consistently using the advice. We hypothesized that individual differences on psychological traits such as dutifulness (a facet of conscientiousness), decision-making styles, and predictor vali…
Clinical Psychology (2 works) · Computer Science (2 works) · Construct validity (2 works) · Decision-Making and Behavioral Economics (2 works) · Incremental validity (2 works) · Predictive validity (2 works) · Psychology (2 works) · Psychometrics (2 works) · Social Psychology (2 works) · Affect (linguistics (1 works)