Abstract
Machine learning (ML) has become a powerful tool with the potential to enable new interactions and user experiences. Although the use of ML in HCI research is growing, the process of prototyping and deploying ML remains challenging. We claim that ML tools designed to be used on the Web are suitable for fast prototyping and HCI research. In this chapter, we review literature, current technologies, and use cases of ML tools for the Web. We also provide a case study, using TensorFlow.js—a major Web ML library, to demonstrate how to prototype with Web ML tools in different prototyping scenarios. At the end, we discuss challenges and future directions of designing tools for fast prototyping and research.
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