WANT A PROFILE LIKE THIS?
Create my FREE Plan Or learn about other options
Igor Dolgov
PeerJ Author
105 Points

Contributions by role

Preprint Author 105

Contributions by subject area

Science Policy
Statistics

Igor Dolgov

PeerJ Author

Summary

Dr. Igor Dolgov attained a Bachelor of Science and Engineering (BSE) in Computer Science from Princeton University, with a certificate in Intelligent Systems and Robotics. He continued his education at Arizona State University where he received the University Graduate Scholar Award while earning a Ph.D. in Psychology as part of the Cognition, Action, & Perception Program in the Department of Psychology, and serving as an NSF IGERT fellow with the School of Arts, Media, & Engineering. Dr. Dolgov currently holds a tenured associate professorship in Engineering Psychology at New Mexico State University, and has established the “pacman” laboratory which investigates Perception, Action, and Cognition in Mediated, Artificial, and Naturalistic Environments (PACMANe). He also collaborates extensively with the Physical Sciences Laboratory’s 21st Century Aerospace Program. His NASA-, FAA-, and NSF-funded research is focused on the human factors of unmanned aircraft systems (UAS), and was featured in the FAA’s 2013 roadmap for the Unmanned Aircraft Systems (UAS) in the National Airspace System (NAS). Additionally, he is advancing scholarship in the areas of trust in automated systems, graphic user interface design, affective computing, visual search, navigation, and gaming. Along with Dr. Dolgov’s applied research activities, his theoretical work focuses on the interplay between perception, cognition, and action, in both naturalistic and artificial contexts.

Agents & Multi-Agent Systems Artificial Intelligence Autonomous Systems Computational Science Data Science Human-Computer Interaction Psychiatry & Psychology Robotics Scientific Computing & Simulation Social Computing


Websites

  • Google Scholar
  • LinkedIn

PeerJ Contributions

  • Preprints 1
July 26, 2018 - Version: 3
Manipulating the alpha level cannot cure significance testing
David Trafimow, Valentin Amrhein, Corson N. Areshenkoff, Carlos Barrera-Causil, Eric J. Beh, Yusuf Bilgiç, Roser Bono, Michael T. Bradley, William M. Briggs, Héctor A. Cepeda-Freyre, Sergio E. Chaigneau, Daniel R. Ciocca, Juan Carlos Correa, Denis Cousineau, Michiel R. de Boer, Subhra Sankar Dhar, Igor Dolgov, Juana Gómez-Benito, Marian Grendar, James Grice, Martin E. Guerrero-Gimenez, Andrés Gutiérrez, Tania B. Huedo-Medina, Klaus Jaffe, Armina Janyan, Ali Karimnezhad, Fränzi Korner-Nievergelt, Koji Kosugi, Martin Lachmair, Rubén Ledesma, Roberto Limongi, Marco Tullio Liuzza, Rosaria Lombardo, Michael Marks, Gunther Meinlschmidt, Ladislas Nalborczyk, Hung T. Nguyen, Raydonal Ospina, Jose D. Perezgonzalez, Roland Pfister, Juan José Rahona, David A. Rodríguez-Medina, Xavier Romão, Susana Ruiz-Fernández, Isabel Suarez, Marion Tegethoff, Mauricio Tejo, Rens van de Schoot, Ivan Vankov, Santiago Velasco-Forero, Tonghui Wang, Yuki Yamada, Felipe C. Zoppino, Fernando Marmolejo-Ramos
https://doi.org/10.7287/peerj.preprints.3411v3