Glasgow study compares face and voice styles for pet-like social robots
· Source: Robohub
University of Glasgow researchers used augmented reality to try five face styles and five sounds on a Qoobo robot with 24 volunteers. Animal-like and anime faces scored equally well, faces conveyed emotion better than voices, and pet owners leaned towards animal designs; the work was presented at the MobileHCI conference.
Read the full story on robohub.org (opens in a new tab)Summary written by DroidBazaar. The original article belongs to its publisher.