SMARTA: Automated testing apparatus for visual discrimination tasks

Abstract

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.