Source: http://www.periodicos.letras.ufmg.br/index.php/relin/article/view/11283
Timestamp: 2019-04-25 22:31:23+00:00

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Professor de Psicolinguística da Universidade Estadual de Campinas; Doutor em Linguística na linha Linguagem, Mente e Cérebro pela Universidade Federal do Rio de Janeiro. Estágio no Instituto Nacional da Saúde e das Pesquisas Médicas da França (INSERM), durante o qual foi membro da Unidade de Neuroimagem Cognitiva (U992 - Unicog) do NeuroSpin Center.
Resumo: Nos últimos anos, diversos softwares foram criados para auxiliar a elaboração de experimentos em ciências cognitivas. A oferta de softwares de simples utilização deveria facilitar o trabalho dos iniciantes, porém, acabou trazendo novos problemas e dúvidas. Que software usar? Qual deles é o mais adequado ao meu estudo e por quê? Através de uma revisão sobre computação, linguagem de programação e técnicas de apresentação de estímulos visuais,1 este artigo pretende fomentar a discussão a respeito (i) dos diversos tipos de softwares para estimulação, (ii) da importância de conhecer os detalhes técnicos do hardware utilizado e (iii) da compatibilização hardware-software-método como uma variável a ser controlada durante o desenvolvimento do protocolo experimental.
Palavras-chave: psicolinguística; ciências cognitivas; linguagens de programação; métodos.
Abstract: In the last few years, several softwares have been designed to help the development of experiments in cognitive sciences. The offer of user friendly software would help beginners in their first tests. However, it brought new problems and questions. Which software should one use? Which one is more adequate for my research and why? The present paper brings a quick and panoramic review on computer science, programming languages and on the presentation of visual stimuli. Through these three topics, I intend to promote a discussion (i) on the main types of software for stimulation in cognitive sciences, (ii) on the importance of being attentive to the hardware specifications and (iii) on some compatibility issues between software-hardware-method as independent variables in our experiments.
Keywords: psycholinguistics; cognitive sciences; programming languages; methods.
psycholinguistics; cognitive sciences; programming languages; methods.
BAUER, B. A Timely Reminder About Stimulus Display Times and Other Presentation Parameters on CRTs and Newer Technologies. Canadian Journal of Experimental Psychology, Société Canadienne de Psychologie, v. 69, n. 3, p. 264-273, 2015. https://doi.org/10.1037/cep0000043.
BEZANSON, J.; EDELMAN, A.; KARPINSKI, S.; SHAH, V.B. Julia: a fresh approach to numerical computing. ArXiv, 2014. Disponível em: arxiv.org/abs/1411.1607. Acesso em: 28 nov. 2016.
BRAINARD, D. H. The psychophysics toolbox. Spatial Vision, Brill Online, n. 10, p. 433-436, 1997.
COHEN, J.; MACWHINNEY, B.; FLATT, M.; PROVOST, J. PsyScope: An interactive graphic system for designing and controlling experiments in the psychology laboratory using Macintosh computers. Behavior Research Methods, Instruments & Computers, Springer Link, v. 25, n. 2, p. 257-271, 1993.
COHEN, J.; PROVOST, J. PsyScope: User Manual 1.0, Carnegie Mellon University, 1994. Disponível em: psy.cns.sissa.it/psy_cmu_edu/PsyMan.pdf. Acesso em: 28 nov. 2016.
COOPER, E. A.; JIANG, H.; VILDAVSKI, V.; FARRELL, J. E.; NORCIA, A. M. Assessment of OLED displays for vision research. Journal of Vision, Association for Research in Vision and Ophthalmology, v.13, n. 16, p. 1-12, 2013.
ELZE, T. Misspecifications of Stimulus Presentation Durations in Experimental Psychology: A Systematic Review of the Psychophysics Literature. PLoS ONE, São Francisco, Califórnia, v. 5, n. 9, 2010.
ELZE, T. Achieving precise display timing in visual neuroscience experiments. Journal of Neuroscience Methods, Elsevier, n. 191, p. 171-179, 2010.
FORSTER, K. I.; FORSTER, J. C. DMDX: A Windows display program with millisecond accuracy. Behavioral Research Methods, Springer, n. 35, p. 116-124, 2003.
GARAIZAR, P.; VADILLO, M.A.; LÓPEZ-DE-IPIÑA, D.; MATUTE, H. Measuring Software Timing Errors in the Presentation of Visual Stimuli in Cognitive Neuroscience Experiments. PLoS ONE, São Francisco, Califórnia, v. 9, n. 1, 2014.
GARCIA, D.C. Elementos estruturais no acesso lexical: o reconhecimento de palavras multimorfêmicas no português brasileiro. 2009. 108 f. Dissertação (Mestrado em Linguística) – Faculdade de Letras, Universidade Federal do Rio de Janeiro, 2009.
HOOGBOOM, J.; ELEMANS, J. A.W.; ROWAN, A. E.; RASING, T. H. M.; NOLTE, R. J. M. The development of self-assembled liquid crystal display alignment layers. Philosofical Transactions of The Royal Society A, The Royal Society Publishing, n. 365, p. 1553-1576, 2007.
ITO, H.; OGAWA, M.; SUNAGA, S. Evaluation of an organic light-emitting diode display for precise visual stimulation. Journal of Vision, Association for Research in Vision and Ophthalmology, v. 13, n. 7, p. 1-21, 2013.
KENKEL, F. Untersuchungen über den Zusammenhang zwischen Erscheinungs-grobe und Erscheinungsbewegung bei einigen sogenannten optischen Tauschungen. 2. Zeitschrifi fur Psychologie, Göttingen, v. 67, p. 358-449, 1913.
KLEINER, M.; BRAINARD, D.; PELLI, D. What’s new in Psychtoolbox-3? Perception, v. 36, n. 14, p. 1-26, 2007.
KRAUSE, F.; LINDERMANN, O. Expyriment: A Python library for cognitive and neuroscientific experiments. Behavior Research Methods, Springer, v. 46, n. 2, p. 416-428, 2014. https://doi.org/10.3758/s13428-013-0390-6.
LANGE, K; KÜHN, S.; FILEVICH, E. Just Another Tool for Online Studies (JATOS): An easy solution for setup and management of web servers supporting online studies. Plos One, São Francisco, Califórnia, v. 7, n. 10, 2015.
MATHÔT, S.; SCHREIJ, D.; THEEUWES, J. OpenSesame: An open-source, graphical experiment builder for the social sciences. Behavioral Research Methods, Springer, v. 44, n. 2, p. 314-324, 2012. https://doi.org/10.3758/s13428-011-0168-7.
MEDINA J. M.; WONG, W.; DÍAZ, J. A.; COLONIUS, H. Advances in Modern Mental Chronometry. Frontiers in Human Neuroscience, Frontiers, v. 9, n. 256, p. 5-7, 2015. https://doi.org/10.3389/fnhum.2015.00256.
MOORE, G. E. Cramming more components onto integrated circuits. Eletronics, v. 38, n. 8, p. 114-117, 1965.
MUELLER, S.T.; PIPER, B.J. The Psychology Experiment Building Language (PEBL) and PEBL Test Battery. Journal of Neuroscience Methods, Elsevier, n. 222, p. 250-259, 2014.
MUNAFÒ, M. R.; NOSEK, B. A.; BISHOP, D. V. M.; BUTTON, K. S.; CHAMBERS, C. D.; DU SERT, N. P.; SIMONSOHN, U.; WAGENMAKERS, E. J.; WARE, J. J.; IOANNIDIS, J. P. A. A manifesto for reproducible science. Nature Human Behaviour, Springer Nature, n.1, 2017.
OPEN Science Collaboration. Estimating the reproducibility of psychological science. Science, American Association for the Advancement of Science, v. 349, n. 6251, 2015.
PEIRCE, J.W. Generating stimuli for neuroscience using PsychoPy, Frontiers in Neuroinformatics, Frontiers, v. 2, n. 10, 2009.
PLANT, R. R.; HAMMOND, N.; TURNER, G. Self-validating presentation and response timing in cognitive paradigms: How and why? Behavior Research Methods, Instruments, & Computers, Springer Link, n. 36, p. 291-303, 2004.
PLANT, R. R.; TURNER, G. Millisecond precision psychological research in a world of commodity computers: New hardware, new problems? Behavior Research Methods, Springer, v. 41, n. 3, p. 598-614, 2009. https://doi.org/10.3758/BRM.41.3.598.
RICHLAN, F.; GAGL, B.; SCHUSTER, S.; HAWELKA, S.; HUMENBERGER, J.; HUTZLER, F. A new high-speed visual stimulation method for gaze-contingent eye movement and brain activity studies. Frontiers in Systems Neuroscience, Frontiers, v. 7, n. 24, 2013.
SAMPAIO, T. O. M.; VAN WASSENHOVE, V. Self-paced Reading tests for GNU Octave/Matlab [software computacional], 2013. Disponível em: http://www.thiagomotta.net/uploads/7/0/5/2/7052840/spr_tests_-_octave-matlab_13.zip. Acesso em: 30 mar. 2017.
SAMPAIO, T. O. M. Coerção aspectual: uma abordagem linguística da percepção do tempo. 2015. 398f. Tese (Doutorado em Linguística) – Faculdade de Letras, Universidade Federal do Rio de Janeiro, 2015.
SCHNEIDER, W.; ESCHMAN, A.; ZUCCOLOTTO, A. E-Prime user’s guide. Pittsburgh, PA: Psychology Software Tools, 2002. Disponível em: step.psy.cmu.edu/materials/manuals/users.pdf. Acesso em: 28 nov. 2016.
SHINNERS, P. PyGame - Python Game Development [computer software], 2011.
STOET, G. PsyToolkit - A software package for programming psychological experiments using Linux. Behavior Research Methods, Springer, v. 42, n. 4, p. 1096-1104, 2010. https://doi.org/10.3758/BRM.42.4.1096.
STRAW, A. D. Vision Egg: An Open-Source Library for Realtime Visual Stimulus Generation. Frontiers in Neuroinformatics, Frontiers, v. 2, n. 4, 2008. https://doi.org/10.3389/neuro.11.004.2008.
TURPIN, A.; LAWSON, D.J.; MCKENDRICK, A.M. PsyPad: a platform for visual psychophysics on the iPad. Journal of Vision – Methods, The Association for Research in Vision and Ophthalmology, v.14, n.16, 2014.
WATSON, A. B. Handbook of Perception and Human Performance. New York: Wiley, 1986.
WERTHEIMER, M. Experimentelle Studien über das Sehen von Bewegung. Zeitschrift für Psychologie, Göttingen, v. 61, n. 1, 161-265, 1912.

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