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Discerning Mouse Trajectory Features With the Drift Diffusion Model.

Authors :
Leontyev A
Yamauchi T
Source :
Cognitive science [Cogn Sci] 2021 Oct; Vol. 45 (10), pp. e13046.
Publication Year :
2021

Abstract

Mouse tracking, a new action-based measure of behavior, has advanced theories of decision making with the notion that cognitive and social decision making is fundamentally dynamic. Implicit in this theory is that people's decision strategies, such as discounting delayed rewards, are stable over task design and that mouse trajectory features correspond to specific segments of decision making. By applying the hierarchical drift diffusion model and the Bayesian delay discounting model, we tested these assumptions. Specifically, we investigated the extent to which the "mouse-tracking" design of decision-making tasks (delay discounting task, DDT and stop-signal task, SST) deviate from the standard "keypress" design of decision making tasks. We found remarkable agreement in delay discounting rates (intertemporal impatience) obtained in the keypress and mouse-tracking versions of DDT (ρ = 0.90) even though these tasks were given about 1 week apart. Rates of evidence accumulation converged well in the two versions (DDT, ρ = .86; SST, ρ = .55). Omission/commission error in SST showed high agreement (ρ = .42, ρ = .53). Mouse-motion features such as maximum velocity and AUC (area under the curve) correlated well with nondecision time (ρ = -.42) and boundary separation (ρ = .44)-the amount of information needed to accumulate prior to making a response. These results indicate that the response time (RT) and motion-based decision tasks converge well at a fundamental level, and that mouse-tracking features such as AUC and maximum velocity do indicate the degree of decision conflict and impulsivity.<br /> (© 2021 Cognitive Science Society LLC.)

Details

Language :
English
ISSN :
1551-6709
Volume :
45
Issue :
10
Database :
MEDLINE
Journal :
Cognitive science
Publication Type :
Academic Journal
Accession number :
34606113
Full Text :
https://doi.org/10.1111/cogs.13046