Clarke, Alasdair and Hunt, Amelia and Hughes, Anna (2022) A Bayesian Statistical Model Is Able to Predict Target-by-Target Selection Behaviour in a Human Foraging Task. Vision, 6 (4). p. 66. DOI https://doi.org/10.3390/vision6040066
Clarke, Alasdair and Hunt, Amelia and Hughes, Anna (2022) A Bayesian Statistical Model Is Able to Predict Target-by-Target Selection Behaviour in a Human Foraging Task. Vision, 6 (4). p. 66. DOI https://doi.org/10.3390/vision6040066
Clarke, Alasdair and Hunt, Amelia and Hughes, Anna (2022) A Bayesian Statistical Model Is Able to Predict Target-by-Target Selection Behaviour in a Human Foraging Task. Vision, 6 (4). p. 66. DOI https://doi.org/10.3390/vision6040066
Abstract
Foraging refers to search involving multiple targets or multiple types of targets, and as a model task has a long history in animal behaviour and human cognition research. Foraging behaviour is usually operationalized using summary statistics, such as average distance covered during target collection (the path length) and the frequency of switching between target types. We recently introduced an alternative approach, which is to model each instance of target selection as random selection without replacement. Our model produces estimates of a set of foraging biases, such as a bias to select closer targets or targets of a particular category. Here we apply this model to predict individual target selection events. We add a new start position bias to the model, and generate foraging paths using the parameters estimated from individual participants’ pre-existing data. The model predicts which target the participant will select next with a range of accuracy from 43% to 69% across participants (chance is 11%). The model therefore explains a substantial proportion of foraging behaviour in this paradigm. The situations where the model makes errors reveal useful information to guide future research on those aspects of foraging that we have not yet explained.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | foraging; visual search; bayesian model; decision; strategy |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Psychology, Department of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 18 Nov 2022 09:16 |
Last Modified: | 27 Nov 2024 17:39 |
URI: | http://repository.essex.ac.uk/id/eprint/33871 |
Available files
Filename: vision-06-00066.pdf
Licence: Creative Commons: Attribution 3.0