Avoiding pitfalls when using machine learning in HCI studies

Machine Learning (ML) has come of age and has revolutionized several fields in computing and beyond, including Human Computer Interaction. Historically, human subjects studies have adopted ML techniques for more than a decade, for example for activity recognition and wearable computing. However, there now exists a plethora of application domains where ML approaches are enriching interactive computing research. Here, we wish to highlight some of the pitfalls that HCI researchers should avoid while using ML techniques in their research.