Title
Does a robot that can learn verbs lead to better user perception?
Abstract
The current understanding is that human-likeness of a robot leads to better human perception. However, the factors have not been thoroughly studied. We conducted a laboratory experiment to examine two questions: how verb acquisition ability affects human perceptions on human-likeness and familiarity of a humanoid robot, intention to use the robot, and enjoyment and satisfaction of the interaction, and whether human-likeness mediates the links between the effects of interaction of verb acquisition between the human perceptions. The experiment involved 48 participants, and we found that the robot that was able to acquire two Japanese verbs, ”oku (to put/to place)” and ”hanasu (to move away from),” was perceived by participants as more familiar and satisfying than the one that knew the verbs from the beginning. We also found that human-likeness mediated the links between the effect of verb acquisition ability and other perceptions toward the robot.
Year
DOI
Venue
2012
10.1145/2157689.2157726
Human-Robot Interaction
Keywords
Field
DocType
verb acquisition,laboratory experiment,human-likeness mediates,better user perception,japanese verb,human perception,verb acquisition ability,humanoid robot,current understanding,cognitive science,natural language processing,learning artificial intelligence,language acquisition,humanoid robots,satisfiability,human factors,robots,human robot interaction
Verb,Computer science,Laboratory experiment,Human–computer interaction,Language acquisition,Robot,Perception,Human–robot interaction,Humanoid robot
Conference
ISSN
ISBN
Citations 
2167-2121 E-ISBN : 978-1-4503-1063-5
978-1-4503-1063-5
0
PageRank 
References 
Authors
0.34
1
2
Name
Order
Citations
PageRank
Dai Hasegawa1267.62
Kenji Araki234380.17