Title :
How to support action prediction: Evidence from human coordination tasks
Author_Institution :
Central Eur. Univ., Budapest, Hungary
Abstract :
When two or more people perform actions together such as shaking hands, playing ensemble music or carrying an object together, they often naturally adjust the spatial and temporal parameters of their movements to facilitate smooth task performance. This paper reviews recent findings from experiments with human participants to demonstrate ways in which individuals strategically modulate their own action performance to support a task partner in predicting their actions and thereby facilitate coordination. Based on this evidence, it is discussed how strategic action modulation (“action signaling”) might be a useful approach also for robotic systems to assist human users, thereby reducing cognitive load and flexibly supporting the acquisition of new skills.
Keywords :
human-robot interaction; action signaling; cognitive load reduction; human action prediction; human coordination tasks; human movement spatial parameters; human movement temporal parameters; human user assistance; robotic systems; strategic action modulation; Human-robot interaction; Joints; Psychology; Real-time systems; Robot kinematics; Service robots;
Conference_Titel :
Robot and Human Interactive Communication, 2014 RO-MAN: The 23rd IEEE International Symposium on
Conference_Location :
Edinburgh
Print_ISBN :
978-1-4799-6763-6
DOI :
10.1109/ROMAN.2014.6926327