Using User-Generated YouTube Videos to Understand Unguided Interactions with Robots in Public Places

Professional service robots are increasingly being deployed in public places, which thus increases user exposure. However, we lack an empirical understanding of complex encounters taking place dynamic and often crowded environments as well how people overcome breakdowns during unguided interaction with a robot real-world scenario. In this paper, conducted covert, digital ethnographic study analyzing 104 user-generated YouTube videos focusing on people’s interactions several places. We identified types pertaining to someone (person-initiated breakdown, IB) or something (environmental disturbances, ED) having direct, negative effect ongoing interaction. Our findings have implications for the design development facing multi-user scenarios entertaining active (primary secondary) users, inactive (commentators observers) ‘users’, Incidentally Co-present Persons (InCoPs) . Furthermore, contribute built limited prior use ethnography HRI research, thereby demonstrating its effectiveness studying while supplementing adding existing knowledge base