G. L.
Main publications (peer-reviewed international journal papers)
- Lukács, G., Kawai, C., Ansorge, U., & Fekete, A. (2023). Detecting concealed language knowledge
via response times. Applied Linguistics Review, 14(4), 1027–1044.
https://doi.org/10.1515/applirev-2020-0130
[pdf]
- Lukács, G., & Ansorge, U. (2023). Response time concealed information test using fillers in
cybercrime and concealed identity scenarios. Memory, 31(6), 767–783.
https://doi.org/10.1080/09658211.2023.2195179
[pdf]
- Lukács, G., & Gartus, A. (2023). Precise display time measurement in JavaScript for web-based
experiments. Behavior Research Methods, 55(3), 1079–1093. https://doi.org/10.3758/s13428-022-01835-2
[pdf]
- Kawai, C., Zhang, Y., Lukács, G., Chu, W., Zheng, C., Gao, C., Gozli, D., Wang, Y., & Ansorge,
U. (2023). The good, the bad, and the red: implicit color-valence associations across cultures.
Psychological Research, 87(3), 704–724. https://doi.org/10.1007/s00426-022-01697-5
[pdf]
- Lukács, G. (2022). Prolonged response time concealed information test decreases probe-control
differences but increases classification accuracy. Journal of Applied Research in Memory and
Cognition, 11(2), 188–199. https://doi.org/10.1016/j.jarmac.2021.08.008
[pdf]
- Lukács, G., & Steyrl, D. (2022). Machine learning mega-analysis applied to the Response Time
Concealed Information Test: No evidence for advantage of model-based predictors over baseline.
Collabra: Psychology, 8(1),
32661. https://doi.org/10.1525/collabra.32661 [pdf]
- Lubczyk, T., Lukács, G., & Ansorge, U. (2022). Speed versus accuracy instructions in the
response time concealed information test. Cognitive Research: Principles and Implications,
7(1),
1–11. https://doi.org/10.1186/s41235-021-00352-8
[pdf]
- Wojciechowski, J., & Lukács, G. (2022). Importance-related fillers improve the classification
accuracy of the response time concealed information test in a crime scenario. Legal and
Criminological Psychology, 27(1),
82–100. https://doi.org/10.1111/lcrp.12198 [pdf]
- Lukács, G. (2022). POSSA: Power simulation for sequential analyses and multiple hypotheses.
Journal of Open Source Software, 7(76), 4643. https://doi.org/10.21105/joss.04643 [pdf]
- Lukács, G., & Ansorge, U. (2021). The mechanism of filler items in the Response Time Concealed
Information Test. Psychological Research, 85(7), 2808–2828. https://doi.org/10.1007/s00426-020-01432-y
[pdf]
- Kawai, C., Lukács, G., & Ansorge, U. (2021). A new type of pictorial database: The Bicolor
Affective Silhouettes and Shapes (BASS). Behavior Research Methods, 53(6), 2558–2575. https://doi.org/10.3758/s13428-021-01569-7
[pdf]
- Lukács, G. (2021). SmaRT-CIT: Smartphone app for the Response Time Concealed Information Test
with ready-to-use Android deployment. Journal of Open Research Software, 9(1), 1-7. https://doi.org/10.5334/jors.341
[pdf]
- Lukács, G. (2021). neatStats: An R package for a neat pipeline from raw data to reportable
statistics in psychological science. The Quantitative Methods for Psychology, 17(1),
7-23. https://doi.org/10.20982/tqmp.17.1.p007
[pdf]
- Lukács, G. (2021). Addressing selective attrition in the enhanced response time‐based Concealed
Information Test: A within‐subject replication. Applied Cognitive Psychology, 35(1),
243–250. https://doi.org/10.1002/acp.3759 [pdf]
- Lukács, G., & Specker, E. (2020). Dispersion matters: Diagnostics and control data computer
simulation in Concealed Information Test studies. PLOS ONE, 15(10), e0240259. https://doi.org/10.1371/journal.pone.0240259
[pdf]
- Kawai, C., Lukács, G., & Ansorge, U. (2020). Polarities influence implicit associations between
colour and emotion. Acta Psychologica, 209, 103143. https://doi.org/10.1016/j.actpsy.2020.103143
[pdf]
- Lukács, G., Kleinberg, B., Kunzi, M., & Ansorge, U. (2020). Response time Concealed Information
Test on smartphones. Collabra: Psychology, 6(1), 4. https://doi.org/10.1525/collabra.255 [pdf]
- Lukács, G. & Ansorge, U. (2019). Information leakage in the response time-based Concealed
Information Test. Applied Cognitive Psychology, 33(6), 1178-1196. https://doi.org/10.1002/acp.3565 [pdf]
- Lukács, G., Grządziel, A., Kempkes, M., & Ansorge, U. (2019). Item roles explored in a modified
P300-Based CTP Concealed Information Test. Applied Psychophysiology and Biofeedback,
44(3), 195-209. https://doi.org/10.1007/s10484-019-09430-6
[pdf]
- Lukács, G. & Ansorge, U. (2019). Methodological improvements of the association-based Concealed
Information Test. Acta Psychologica, 194, 7-16. https://doi.org/10.1016/j.actpsy.2019.01.010
[pdf]
- Lukács, G. (2019). CITapp – a response time-based Concealed Information Test lie detector web
application. Journal of Open Source Software, 4(34), 1179. https://doi.org/10.21105/joss.01179 [pdf]
- Lukács, G., Kleinberg, B., & Verschuere, B. J. (2017). Familiarity-related fillers improve the
validity of reaction time-based memory detection. Journal of Applied Research in Memory and
Cognition, 6(3), 295-305. https://doi.org/10.1016/j.jarmac.2017.01.013
[pdf]
- Lukács, G., Gula, B., Hallgató, E., & Csifcsák, G. (2017). Association-based Concealed
Information Test: A novel reaction time-based deception detection method. Journal of Applied
Research in Memory and Cognition, 6(3),
283-294. https://doi.org/10.1016/j.jarmac.2017.06.001
[pdf]
- Lukács, G., Weiss, B., Dalos, V. D., Kilencz, T., Tudja, S., & Csifcsák, G. (2016). The first
independent study on the complex trial protocol version of the P300-based Concealed Information
Test: Corroboration of previous
findings and highlights on vulnerabilities. International Journal of Psychophysiology,
110, 56-65. https://doi.org/10.1016/j.ijpsycho.2016.10.010
[pdf]
-
There are many freely available Python/PsychoPy
tutorials from potentially better qualified authors – nonetheless, people often ask for the
slides
from my course, so here they are
compressed in a ZIP
file. Very brief intros to R and to JavaScript are included.
If you are learning by yourself and have any questions or would like feedback on your programming solutions,
ask ChatGPT.