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On May 9, 2019, Alberto Monge Roffarello presented the paper "Empowering End Users in Debugging Trigger-Action Rules" at the audience of ACM CHI 2019 (International CHI Conference on Human Factors in Computing Systems), held in Glasgow, UK.

The paper presents EUDebug,a system that enables end users to debug trigger-action rules for personalizing Internet of Things (IoT) devices and service. With EUDebug, users compose rules in a web-based application like IFTTT. The system highlights possible problems that the set of all defined rules may generate and allows their step-by-step simulation. Under the hood, a hybrid Semantic Colored Petri Net (SCPN) models, checks, and simulates trigger-action rules and their interactions. Results of exploratory study on 15 end users shows that EUDebug helps identifying and understanding problems in trigger-action rules, which are not easily discoverable in existing platforms.

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