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Relating human judgements to pictures is central to a wide variety ofscientific disciplines. Pictures are used to evoke and study faculties of thehuman mind, while human input is used to label, understand and model pictorialrepresentations. Human input is often collected through online crowdsourcingexperiments. This paper discusses the usage of crowdsourcing in two majorbranches of picture-centered research, human and computer vision, andidentifies novel directions such as art history and design. We demonstrate thata wide variety of experiments can be conducted by using p5.js, a libraryoriginally intended to facilitate visual creation. We report five complementaryexperimental paradigms to illustrated the accessibility and versatility ofp5.js: Change blindness, BubbleView, 3D shape perception, Composition, andPerspective reconstruction. Results reveal that literature findings can bereproduced and novel insights can easily be achieved with the p5.js library.The creative freedom of p5.js combined with low threshold access tocrowdsourcing seems like a powerful combination for all picture-centredresearch areas: perception, design, art history, communication, and beyond.

Sketch-and-test: picture-centered research with p5.js assisted crowdsourcing