Fairness in Oculomotoric Biometric Identification
Author:
Affiliation:
1. University of Potsdam, Germany
2. Universität Potsdam, Germany
3. Department of Computational Linguistics, University of Zurich, Switzerland and University of Potsdam, Germany
Funder
Bundesministerium für Bildung und Forschung
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3517031.3529633
Reference39 articles.
1. Gary Bargary Jenny M. Bosten Patrick T. Goodbourn Adam J. Lawrance-Owen Ruth E. Hogg and J.D. Mollon. 2017. Individual differences in human eye movements: An oculomotor signature?Vision Research 141 (Dec. 2017) 157–169. Gary Bargary Jenny M. Bosten Patrick T. Goodbourn Adam J. Lawrance-Owen Ruth E. Hogg and J.D. Mollon. 2017. Individual differences in human eye movements: An oculomotor signature?Vision Research 141 (Dec. 2017) 157–169.
2. Solon Barocas Moritz Hardt and Arvind Narayanan. 2019. Fairness and Machine Learning. fairmlbook.org. http://www.fairmlbook.org. Solon Barocas Moritz Hardt and Arvind Narayanan. 2019. Fairness and Machine Learning. fairmlbook.org. http://www.fairmlbook.org.
3. Big data’s disparate impact;Barocas Solon;California Law Review,2016
4. Eye-Movements as a Biometric
5. Eye-tracking data quality as affected by ethnicity and experimental design
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