SMARTA: Automated testing apparatus for visual discrimination tasks

This article introduces the open-source Subject-Mediated Automatic Remote Testing Apparatus (SMARTA) for visual discrimination tasks, which aims to streamline and ease data collection, eliminate or reduce observer error, increase interobserver agreement, and automate data entry without the need for an internet connection. SMARTA is inexpensive and easy to build, and it can be modified to accommodate a variety of experimental designs. Here we describe the utility and functionality of SMARTA in a captive setting. We present the results from a case study of color vision in ruffed lemurs (Varecia spp.) at the Duke Lemur Center in Durham, North Carolina, in which we demonstrate SMARTA’s utility for two-choice color discrimination tasks, as well as its ability to streamline and standardize data collection. We also include detailed instructions for constructing and implementing the fully integrated SMARTA touchscreen system.

[1]  J. Tung,et al.  Seeing red: behavioral evidence of trichromatic color vision in strepsirrhine primates , 2009 .

[2]  R. I. Polikanina Development of color vision in newborn infants , 1969, Neuroscience Translations.

[3]  Xinfeng Chen,et al.  ArControl: An Arduino-Based Comprehensive Behavioral Platform with Real-Time Performance , 2017, Front. Behav. Neurosci..

[4]  Elizabeth M. Brannon,et al.  Numerical Rule-Learning in Ring-Tailed Lemurs (Lemur Catta) , 2011, Front. Psychol..

[5]  G. Hall,et al.  Touchscreen performance and knowledge transfer in the red-footed tortoise (Chelonoidis carbonaria) , 2014, Behavioural Processes.

[6]  Dustin J. Merritt,et al.  A comparative analysis of serial ordering in ring-tailed lemurs (Lemur catta). , 2007, Journal of comparative psychology.

[7]  E. Zimmermann,et al.  Touchscreen-Based Cognitive Tasks Reveal Age-Related Impairment in a Primate Aging Model, the Grey Mouse Lemur (Microcebus murinus) , 2014, PloS one.

[8]  R. Shapley,et al.  Nonlinear dynamics of cortical responses to color in the human cVEP , 2017, Journal of vision.

[9]  Oskar Pineño ArduiPod Box: A low-cost and open-source Skinner box using an iPod Touch and an Arduino microcontroller , 2014, Behavior research methods.

[10]  B. Skinner,et al.  The Behavior of Organisms: An Experimental Analysis , 2016 .

[11]  John D. E. Gabrieli,et al.  Olfaction: The world smells different to each nostril , 1999, Nature.

[12]  G. H. Jacobs Comparative Color Vision , 1981 .

[13]  Ludwig Huber,et al.  Dogs Can Discriminate Emotional Expressions of Human Faces , 2015, Current Biology.

[14]  C. Lutz,et al.  The Influence of Observer Presence on Baboon (Papio spp.) and Rhesus Macaque (Macaca mulatta) Behavior. , 2010, Applied animal behaviour science.

[15]  Frances K. McSweeney,et al.  The Wiley Blackwell Handbook of Operant and Classical Conditioning , 2014 .

[16]  Katrina P. Nguyen,et al.  ROBucket: A low cost operant chamber based on the Arduino microcontroller , 2016, Behavior research methods.

[17]  R. M. Boynton Human color vision , 1979 .

[18]  R. Nickerson Confirmation Bias: A Ubiquitous Phenomenon in Many Guises , 1998 .

[19]  S. Leonhardt,et al.  Sight or Scent: Lemur Sensory Reliance in Detecting Food Quality Varies with Feeding Ecology , 2012, PloS one.

[20]  Jacky Emmerton,et al.  Wavelength discrimination in the ‘visible’ and ultraviolet spectrum by pigeons , 1980, Journal of comparative physiology.

[21]  Y. Tan,et al.  Vision: Trichromatic vision in prosimians , 1999, Nature.

[22]  Russell J. Adams,et al.  Systematic measurement of human neonatal color vision , 1994, Vision Research.

[23]  D. Teller,et al.  Motion nulls for white versus isochromatic gratings in infants and adults. , 1989, Journal of the Optical Society of America. A, Optics and image science.

[24]  N. MacDonald Nonlinear dynamics , 1980, Nature.

[25]  R. Zwan,et al.  Are hand-raised flying foxes (Pteropus conspicillatus) better learners than wild-raised ones in an operant conditioning situation? , 2011 .

[26]  Iain D. Gilchrist,et al.  Testing a Simplified Method for Measuring Velocity Integration in Saccades Using a Manipulation of Target Contrast , 2011, Front. Psychology.

[27]  D. Marsh,et al.  Seeing What We Want to See: Confirmation Bias in Animal Behavior Research , 2007 .

[28]  Jinook Oh,et al.  CATOS (Computer Aided Training/Observing System): Automating animal observation and training , 2017, Behavior research methods.

[29]  Edgard Morya,et al.  OBAT: An open-source and low-cost operant box for auditory discriminative tasks , 2018, Behavior research methods.

[30]  Jay Neitz,et al.  The genetics of normal and defective color vision , 2011, Vision Research.

[31]  C. Ripamonti,et al.  Computational Colour Science Using MATLAB , 2004 .

[32]  J. Fagot,et al.  Automatic testing of cognitive performance in baboons maintained in social groups , 2009, Behavior research methods.

[33]  D. Teller,et al.  Spectral sensitivity and chromatic discriminations in 3- and 7-week-old human infants. , 1988, Journal of the Optical Society of America. A, Optics and image science.

[34]  Jianjian Song,et al.  ELOPTA: A novel microcontroller-based operant device , 2007, Behavior research methods.

[35]  Ludwig Huber,et al.  The Vienna comparative cognition technology (VCCT): An innovative operant conditioning system for various species and experimental procedures , 2012, Behavior research methods.

[36]  Leo Maurice Hurvich,et al.  Color vision , 1981 .