首页|Investigators from University of Carlos III Madrid Have Reported New Data on And roids (Evaluating Users’ Perception of Biologically Inspired Involuntary Behavio r In Human-robot Interaction)
Investigators from University of Carlos III Madrid Have Reported New Data on And roids (Evaluating Users’ Perception of Biologically Inspired Involuntary Behavio r In Human-robot Interaction)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics - Androids. According to news reporting originating from Madrid, Spain, by NewsRx correspondents, research stated, “Multimodal communication is a human feature that enables diverse interactions. In human-robot interaction (HRI), ro bots have to communicate using human skills so that they can seem natural and as sist effectively.” Financial supporters for this research include MCIN/AEI, ERDF A way of making Eu rope, European Union (EU), Mejora del nivel de madurez tecnologica del robot Min i (MeNiR) - MCIN/AEI, Portable Social Robot with high level of Engagement (PoSoR o) - MCIN/AEI. Our news editors obtained a quote from the research from the University of Carlo s III Madrid, “Most research uses predefined gestures to equip robots with socia l abilities. However, researchers scarcely consider generating bioinspired invol untary behavior to improve a robot’s expressiveness and communication. Human stu dies revealed that involuntary behavior affects how others perceive communicativ e intentions. Therefore, mimicking human involuntary behavior may positively aff ect HRI. This article extends our previous work on equipping robots with involun tary behavior with a user study that evaluates the use of bioinspiration for com plementing gestures. A preliminary test is conducted with 15 participants to det ermine if they can perceive the intensities of the involuntary processes heart r ate, pupil size, blink rate, breathing rate, and motor activity. 63 new particip ants interacted with a robot with bioinspired behaviors or a robot only showing predefined gestures to evaluate the robots’ warmth, competence, and discomfort. The results show that the preliminary test participants differentiated the inten sities of the involuntary processes. Participants in the second study find the r obot with bioinspired behaviors significantly warmer and more competent than the robot with predefined gestures, with no discomfort difference.”
MadridSpainEuropeAndroidsEmergin g TechnologiesHuman-Robot InteractionMachine LearningNano-robotRobotRo boticsUniversity of Carlos III Madrid
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