Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based decisions
California Institute of Technology
Abstract
How do we make decisions when confronted with several alternatives (e.g., on a supermarket shelf)? Previous work has shown that accumulator models, such as the drift-diffusion model, can provide accurate descriptions of the psychometric data for binary value-based choices, and that the choice process is guided by visual attention. However, the computational processes used to make choices in more complicated situations involving three or more options are unknown. We propose a model of trinary value-based choice that generalizes what is known about binary choice, and test it using an eye-tracking experiment. We find that the model provides a quantitatively accurate description of the relationship between choice,…
Citation impact
- FWCI
- 12.07
- Percentile
- 100%
- References
- 43
Authors
2Topics & keywords
- Computer science
- Binary number
- Eye tracking
- Econometrics
- Value (mathematics)
- Artificial intelligence
- Machine learning
- Mathematics