Gaze-informed modeling of preference learning and prediction.
Gaze-informed modeling of preference learning and prediction.
复制标题
偏好学习和预测的注视建模。
DOI:
10.1037/npe0000107
复制
发表时间:
2019
期刊:
影响因子:
--
通讯作者:
Krajbich, Ian
中科院分区:
文献类型:
--
作者:
Smith, Stephanie M.;Krajbich, Ian
Learning other people’s preferences is a basic skill required to function effectively in society. However, the process underlying this behavior has been left largely unstudied. Here we aimed to characterize this process, using eye-tracking and computational modeling to study people while they estimated another person’s film preferences. In the first half of the study, subjects received immediate feedback after their guess, whereas in the second half, subjects were presented with four random first-half outcomes to aid them with their current estimation. From a variety of learning models, we identified two that best fit subjects’ behavior and eye movements: k-nearest neighbor and beauty contest. These results indicate that although some people attempt to form a high-dimensional representation of other people’s preferences, others simply go with the average opinion. These strategies can be distinguished by looking at a person’s eye movements. The results also demonstrate subjects’ ability to appropriately weight feedback in their estimates.(PsycINFO Database Record (c) 2019 APA, all rights reserved)
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影响因子:
5.4
作者:
M. Usher;James L. McClelland
通讯作者:
M. Usher;James L. McClelland
DOI:
--
发表时间:
2015
期刊:
影响因子:
--
作者:
I. Krajbich;Stephanie M. Smith
通讯作者:
Stephanie M. Smith
影响因子:
4.1
作者:
NOSOFSKY, RM
通讯作者:
NOSOFSKY, RM
DOI:
--
发表时间:
1995
期刊:
影响因子:
--
作者:
B. Minogue
通讯作者:
B. Minogue
影响因子:
4.2
作者:
Janowski, Vanessa;Camerer, Colin;Rangel, Antonio
通讯作者:
Rangel, Antonio