Cognitive Work Analysis and Visualization Design for the Graduate Admission Decision Making Process

Xiaomei Wang; Ann M. Bisantz; Matthew L. Bolton; Lora Cavuoto; Varun Chandola

doi:10.1177/1071181320641189

Cognitive Work Analysis and Visualization Design for the Graduate Admission Decision Making Process

Xiaomei Wang
, Ann M. Bisantz
, Matthew L. Bolton
, Lora Cavuoto
, Varun Chandola

SUNY Buffalo
Texas A&M University

Research output: Contribution to journal › Conference article › peer-review

Abstract

Graduate admission has always been a complex decision making process. The link between application materials and student success has remained elusive and, as such, there is no validated method for making decisions. To understand the purposes, processes, difficulties and needs of the current graduate admission process, semi-structured interviews were conducted with participants from engineering departments. Cognitive work analysis techniques were used to summarize the findings from the interviews. Visualizations were de-signed to improve the current online review system. User feedback was collected in an experiment.

Original language	English
Pages (from-to)	815-819
Number of pages	5
Journal	Proceedings of the Human Factors and Ergonomics Society
Volume	64
Issue number	1
DOIs	https://doi.org/10.1177/1071181320641189
State	Published - 2020
Event	64th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2020 - Virtual, Online Duration: Oct 5 2020 → Oct 9 2020

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title = "Cognitive Work Analysis and Visualization Design for the Graduate Admission Decision Making Process",

abstract = "Graduate admission has always been a complex decision making process. The link between application materials and student success has remained elusive and, as such, there is no validated method for making decisions. To understand the purposes, processes, difficulties and needs of the current graduate admission process, semi-structured interviews were conducted with participants from engineering departments. Cognitive work analysis techniques were used to summarize the findings from the interviews. Visualizations were de-signed to improve the current online review system. User feedback was collected in an experiment.",

author = "Xiaomei Wang and Bisantz, \{Ann M.\} and Bolton, \{Matthew L.\} and Lora Cavuoto and Varun Chandola",

note = "Publisher Copyright: {\textcopyright} 2020 by Human Factors and Ergonomics Society. All rights reserved.; 64th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2020 ; Conference date: 05-10-2020 Through 09-10-2020",

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AU - Wang, Xiaomei

AU - Bisantz, Ann M.

AU - Bolton, Matthew L.

AU - Cavuoto, Lora

AU - Chandola, Varun

PY - 2020

Y1 - 2020

N2 - Graduate admission has always been a complex decision making process. The link between application materials and student success has remained elusive and, as such, there is no validated method for making decisions. To understand the purposes, processes, difficulties and needs of the current graduate admission process, semi-structured interviews were conducted with participants from engineering departments. Cognitive work analysis techniques were used to summarize the findings from the interviews. Visualizations were de-signed to improve the current online review system. User feedback was collected in an experiment.

AB - Graduate admission has always been a complex decision making process. The link between application materials and student success has remained elusive and, as such, there is no validated method for making decisions. To understand the purposes, processes, difficulties and needs of the current graduate admission process, semi-structured interviews were conducted with participants from engineering departments. Cognitive work analysis techniques were used to summarize the findings from the interviews. Visualizations were de-signed to improve the current online review system. User feedback was collected in an experiment.

UR - https://www.scopus.com/pages/publications/85199462608

U2 - 10.1177/1071181320641189

DO - 10.1177/1071181320641189

M3 - Conference article

AN - SCOPUS:85199462608

SN - 1071-1813

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JO - Proceedings of the Human Factors and Ergonomics Society

JF - Proceedings of the Human Factors and Ergonomics Society

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T2 - 64th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2020

Y2 - 5 October 2020 through 9 October 2020

ER -

Cognitive Work Analysis and Visualization Design for the Graduate Admission Decision Making Process

Abstract

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