Ghost-in-the-Machine Reveals Human Social Signals for Human-Robot Interaction

We used a new method called Ghost-in-the-Machine (GiM) to investigate social interactions with a robotic bartender taking orders for drinks and serving them. Using the GiM paradigm allowed us to identify how human participants recognise the intentions of customers on the basis of the output of the r...

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Bibliografiska uppgifter

Huvudupphov:	Sebastian eLoth, Katharina eJettka, Manuel eGiuliani, Jan P De Ruiter
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Frontiers Media S.A. 2015-11-01
Serie:	Frontiers in Psychology
Ämnen:	Social Behavior eye tracking human-robot interaction Intention recognition Social signals interaction strategies
Länkar:	http://journal.frontiersin.org/Journal/10.3389/fpsyg.2015.01641/full
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