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Mary Quinn 0001

Mary Magee Quinn

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affiliation: Leidos Inc., Arlington, VA, USA
affiliation: Science Applications International Corporation (SAIC), Arlington, VA, USA

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2020 – today

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2020
[c5]
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  dblp key:
  - conf/bigdataconf/QuinnPBK20
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Mary Quinn, Blake Piper, James P. Bliss, David Keever:
Recommended Methods for Using the 2020 NIST Principles for AI Explainability. IEEE BigData 2020: 2034-2037

2010 – 2019

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2017
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Carl Symborski, Meg Barton, Mary Magee Quinn, James H. Korris, Karim S. Kassam, Carey K. Morewedge:
The Design and Development of Serious Games Using Iterative Evaluation. Games Cult. 12(3): 252-268 (2017)
2016
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Meg Barton, Carl Symborski, Mary Quinn, Carey K. Morewedge, Karim S. Kassam, James H. Korris:
The Use of Theory in Designing a Serious Game for the Reduction of Cognitive Biases. Trans. Digit. Games Res. Assoc. 2(3) (2016)
2015
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Meg Barton, Carl Symborski, Mary Quinn, Carey K. Morewedge, Karim S. Kassam, James Korris:
The Use of Theory in Designing a Serious Game for the Reduction of Cognitive Biases. DiGRA Conference 2015
2013
[c3]
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Carl Symborski, Gary M. Jackson, Meg Barton, Geoffrey Cranmer, Byron Raines, Mary Magee Quinn, Celia Pearce:
Fusing Quantitative and Qualitative Methods in Virtual Worlds Behavioral Research. DiGRA Conference 2013
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Mary Magee Quinn, Carl Symborski, Meg Barton, James Korris, Travis Falstad, Stephanie Granato:
Methodology for playtesting serious games A case study using a mixed method approach. IGIC 2013: 222-227
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Carl Symborski, Gary M. Jackson, Meg Barton, Geoffrey Cranmer, Byron Raines, Mary Magee Quinn:
The Use of Social Science Methods to Predict Player Characteristics from Avatar Observations. Predicting Real World Behaviors from Virtual World Data @ SocialCom 2013: 19-37

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