Designing visual crowd experiments requires both control and versatility. While behavioural and computer sciences have produced a fair number of tools facilitating this process, a gap remains when it comes to the combination of accessibility and versatility. The Processing language is widely used by artist and designers of varying levels of expertise and thus fulfils these conditions. Here, we investigated whether the Processing inspired JavaScript library p5. js can be used for visual crowd research. We specifically explored how to use p5.js in combination with MTurk and report a simple way of using p5.js 'sketches' to perform online tests . We report four complementary experimental paradigms to illustrated the accessibility and versatility pf p5.js: Change blindness, BubbleView, Gauge figure (attitude probe) and Composition . Results reveal that previous literature findings can be reproduced and novel insights can easily be achieved . The creative freedom of p5.js together with low threshold crowd access seems a powerful combination for all areas that involve vision : perception, design, art history, communication  and beyond.
Relating human judgements to pictures is central to a wide variety of scientific disciplines. Pictures are used to evoke and study faculties of the human mind, while humans input is used to label, understand and model pictorial representations. Human input is often collected through online crowdsourcing experiments. This paper discusses the usage of crowdsourcing in two major branches of picture-centered research, human and computer vision, and identifies novel directions such as art history and design. We demonstrate that a wide variety of experiments can be conducted by using p5.js , a library originally intended to facilitate visual creation . We report five complementary experimental paradigms to illustrated the accessibility and versatility of p5.js: Change blindness, BubbleView, 3D shape perception, Composition, and Perspective reconstruction . Results reveal that literature findings can be reproduced and novel insights can easily be achieved with the p5.js library. The creative freedom of p5.js combined with low threshold access to crowdsourcing seems like a powerful combination for all picture-centred research areas : perception, design, art history, communication , and beyond.
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Designing visual crowd experiments requires both control and versatility. While behavioural and computer sciences have produced a fair number of tools facilitating this process, a gap remains when it comes to the combination of accessibility and versatility. The Processing language is widely used by artist and designers of varying levels of expertise and thus fulfils these conditions. Here, we investigated whether the Processing inspired JavaScript library p5. js can be used for visual crowd research. We specifically explored how to use p5.js in combination with MTurk and report a simple way of
Relating human judgements to pictures is central to a wide variety of scientific disciplines. Pictures are used to evoke and study faculties of the human mind, while humans input is used to label, understand and model pictorial representations. Human input is often collected through online crowdsourcing experiments. This paper discusses the usage of crowdsourcing in two major branches of picture-centered research, human and computer vision, and identifies novel directions such as art history and design. We demonstrate that a wide variety of experiments can be conducted by
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