Authors:
Vassilis Kostakos, Mirco Musolesi
Machine learning (ML) has come of age and has revolutionized several fields in computing and beyond, including human-computer interaction (HCI). Human-subject studies have been adopting ML techniques for more than a decade, for example for activity recognition and wearable computing. There now also exists a plethora of application domains in which 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. Insights A popular use of ML techniques in HCI is to model human behavior. One potential risk is that…
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