Dataset Information

Human representation of visuo-motor uncertainty as mixtures of orthogonal basis distributions.

ABSTRACT: In many laboratory visuo-motor decision tasks, subjects compensate for their own visuo-motor error, earning close to the maximum reward possible. To do so, they must combine information about the distribution of possible error with values associated with different movement outcomes. The optimal solution is a potentially difficult computation that presupposes knowledge of the probability density function (pdf) of visuo-motor error associated with each possible planned movement. It is unclear how the brain represents such pdfs or computes with them. In three experiments, we used a forced-choice method to reveal subjects' internal representations of their spatial visuo-motor error in a speeded reaching movement. Although subjects' objective distributions were unimodal, close to Gaussian, their estimated internal pdfs were typically multimodal and were better described as mixtures of a small number of distributions differing only in location and scale. Mixtures of a small number of uniform distributions outperformed other mixture distributions, including mixtures of Gaussians.

SUBMITTER: Zhang H

PROVIDER: S-EPMC4487408 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature

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Publications

Human representation of visuo-motor uncertainty as mixtures of orthogonal basis distributions.

Zhang Hang H Daw Nathaniel D ND Maloney Laurence T LT

Nature neuroscience 20150629 8

In many laboratory visuo-motor decision tasks, subjects compensate for their own visuo-motor error, earning close to the maximum reward possible. To do so, they must combine information about the distribution of possible error with values associated with different movement outcomes. The optimal solution is a potentially difficult computation that presupposes knowledge of the probability density function (pdf) of visuo-motor error associated with each possible planned movement. It is unclear how ...[more]

PMID: 26120962

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Project description:The working hypothesis in this project is that gaze interactions play a central role in structuring the joint control and guidance strategy of the human operator performing spatial tasks. Perceptual guidance and control is the idea that the visual and motor systems form a unified perceptuo-motor system where necessary information is naturally extracted by the visual system. As a consequence, the response of this system is constrained by the visual and motor mechanisms and these effects should manifest in the behavioral data. Modeling the perceptual processes of the human operator provides the foundation necessary for a systems-based approach to the design of control and display systems used by remotely operated vehicles. This paper investigates this hypothesis using flight tasks conducted with remotely controlled miniature rotorcraft, taking place in indoor settings that provide rich environments to investigate the key processes supporting spatial interactions. This work also applies to spatial control tasks in a range of application domains that include tele-operation, gaming, and virtual reality. The human-in-the-loop system combines the dynamics of the vehicle, environment, and human perception⁻action with the response of the overall system emerging from the interplay of perception and action. The main questions to be answered in this work are as follows: (i) what is the general control and guidance strategy of the human operator, and (ii) how is information about the vehicle and environment extracted visually by the operator. The general approach uses gaze as the primary sensory mechanism by decoding the gaze patterns of the pilot to provide information for estimation, control, and guidance. This work differs from existing research by taking what have largely been conceptual ideas on action⁻perception and structuring them to be implemented for a real-world problem. The paper proposes a system model that captures the human pilot's perception⁻action loop; the loop that delineates the main components of the pilot's perceptuo-motor system, including estimation of the vehicle state and task elements based on operator gaze patterns, trajectory planning, and tracking control. The identified human visuo-motor model is then exploited to demonstrate how the perceptual and control functions system can be augmented to reduce the operator workload.

Dataset Information

Human representation of visuo-motor uncertainty as mixtures of orthogonal basis distributions.

Publications

Human representation of visuo-motor uncertainty as mixtures of orthogonal basis distributions.

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