New measures for the fundamentals of human performance

Wayne Gray; Ray Perez; Roussel  Rahman; Chris Sims; Elizabeth Torres; Travis Wiltshire

New measures for the fundamentals of human performance

Wayne Gray, Ray Perez, Roussel Rahman, Chris Sims, Elizabeth Torres, Travis Wiltshire

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Abstract

We bring together researchers who apply a variety of mathematical tools in their research on human performance. Travis Wiltshire examines the social interactions of team members. Chris Sims pushes forward in the assessment of computational rationality by individuals. Rahman and Gray shine their Spotlight on the dips and leaps of performance during skill acquisition. Elizabeth Torres examines stochastic shifts in learning across the lifespan. We maintain that these lines of research show common ground and we have challenged each of our panelists to look for and highlight that common ground in their presentation.

Original language	English
Title of host publication	Annual Meeting of the Cognitive Science Society
Publication status	Published - 2020
Event	CogSci 2020 - Duration: 30 Jul 2020 → 1 Aug 2020

Conference

Conference	CogSci 2020
Period	30/07/20 → 1/08/20

Access to Document

https://cognitivesciencesociety.org/cogsci20/papers/0081/0081.pdf

Cite this

@inproceedings{89ea63ec625e4074ab9be8aee2125d81,

title = "New measures for the fundamentals of human performance",

abstract = "We bring together researchers who apply a variety of mathematical tools in their research on human performance. Travis Wiltshire examines the social interactions of team members. Chris Sims pushes forward in the assessment of computational rationality by individuals. Rahman and Gray shine their Spotlight on the dips and leaps of performance during skill acquisition. Elizabeth Torres examines stochastic shifts in learning across the lifespan. We maintain that these lines of research show common ground and we have challenged each of our panelists to look for and highlight that common ground in their presentation.",

author = "Wayne Gray and Ray Perez and Roussel Rahman and Chris Sims and Elizabeth Torres and Travis Wiltshire",

year = "2020",

language = "English",

booktitle = "Annual Meeting of the Cognitive Science Society",

note = "CogSci 2020 ; Conference date: 30-07-2020 Through 01-08-2020",

}

TY - GEN

T1 - New measures for the fundamentals of human performance

AU - Gray, Wayne

AU - Perez, Ray

AU - Rahman, Roussel

AU - Sims, Chris

AU - Torres, Elizabeth

AU - Wiltshire, Travis

PY - 2020

Y1 - 2020

N2 - We bring together researchers who apply a variety of mathematical tools in their research on human performance. Travis Wiltshire examines the social interactions of team members. Chris Sims pushes forward in the assessment of computational rationality by individuals. Rahman and Gray shine their Spotlight on the dips and leaps of performance during skill acquisition. Elizabeth Torres examines stochastic shifts in learning across the lifespan. We maintain that these lines of research show common ground and we have challenged each of our panelists to look for and highlight that common ground in their presentation.

AB - We bring together researchers who apply a variety of mathematical tools in their research on human performance. Travis Wiltshire examines the social interactions of team members. Chris Sims pushes forward in the assessment of computational rationality by individuals. Rahman and Gray shine their Spotlight on the dips and leaps of performance during skill acquisition. Elizabeth Torres examines stochastic shifts in learning across the lifespan. We maintain that these lines of research show common ground and we have challenged each of our panelists to look for and highlight that common ground in their presentation.

M3 - Conference contribution

BT - Annual Meeting of the Cognitive Science Society

T2 - CogSci 2020

Y2 - 30 July 2020 through 1 August 2020

ER -

New measures for the fundamentals of human performance

Abstract

Conference

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Cite this