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Modeling Human Trust and Reliance in AI-Assisted Decision Making: A Markovian Approach
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Model reliance as a latent trust-driven Markov process | AI-assisted income prediction · AI-assisted income prediction tasks | reliance prediction performance | Helped |
| Remove previous-task feedback dependencies from the trust dynamics model (ablation) | Proposed hidden Markov model · Individual reliance prediction | Macro-F1 | Hurt |
| Remove previous-task feedback dependencies from the decision model (ablation) | Proposed hidden Markov model · Individual reliance prediction | Macro-F1 | Hurt |
| Remove task-context dependencies from the trust dynamics model (ablation) | Proposed hidden Markov model · Individual reliance prediction | Macro-F1 | Mixed |
| Remove task-context dependencies from the decision model (ablation) | Proposed hidden Markov model · Individual reliance prediction | Macro-F1 | No clear effect |
| Increase the decision stake from low to high | Human trust dynamics in AI-assisted decisions · AI-assisted income prediction | trust-state stability | Helped |
| Receive a correct rather than wrong AI recommendation | Human trust dynamics in AI-assisted decisions · AI-assisted income prediction | probability of transitioning to lower trust | Helped |
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