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SUMMARY:Modeling crossmodal attention in humanoid robots for HRI in comple
 x social scenarios - Di Fu\, University of Hamburg
DTSTART:20230608T100000Z
DTEND:20230608T110000Z
UID:TALK201022@talks.cam.ac.uk
CONTACT:Hatice Gunes
DESCRIPTION:Abstract: Due to the aging population and life digitalization\
 , humanoid robots could be seen as potential assistants to accompany senio
 r citizens\, support remote work\, and improve individuals' mental or phys
 ical health. It is essential for robots to become more socialized by proce
 ssing multiple social cues in a complex real-world environment. Thus\, soc
 ial cues integration\, crossmodal attention\, and conflict resolution are 
 crucial for humanoid robots to implement social interaction. I will presen
 t a series of studies to explore the following questions: 1) how a humanoi
 d robot could perform human-like attentional behaviors in complex environm
 ents with crossmodal conflicts\; 2) how a humanoid robot interacts with hu
 mans by integrating different social cues and exhibiting different persona
 lities\; 3) how gaze and facial expressions of a humanoid robot impact on 
 human-human-robot collaboration. Our experiments explored human crossmodal
  attention mechanisms with high ecological validity and proved that a huma
 noid robot could replicate human-like responses. Our interdisciplinary wor
 k provides important insights into how crossmodal attention can be modeled
  in robots and introduces future research directions for HRI.\n \nBiograph
 y: Dr. Di Fu completed her doctoral training in human-robot interaction at
  the Department of Informatics\, the University of Hamburg (UHH)\, with Pr
 of. Stefan Wermter from 2017 to 2020\, and in cognitive neuroscience at th
 e Institute of Psychology\, Chinese Academy of Sciences (CAS) with Prof. X
 un Liu from 2014 to 2020. She is currently a Postdoctoral Researcher at th
 e University of Hamburg\, with research interests in audiovisual crossmoda
 l attention\, social robotics\, and human-robot interaction. She had been 
 honored as an outstanding graduate of CAS and an outstanding doctoral grad
 uate of Beijing. She has been awarded the Kavli Summer Institute in Cognit
 ive Neuroscience fellowship\, the International postdoctoral exchange fell
 owship\, the CAS-DAAD joint doctoral student fellowship\, and the Chinese 
 National Academic Scholarship. Her work has been published in the Internat
 ional Journal of Social Robotics\, Public Administration Review\, IEEE IRO
 S\, IEEE RO-MAN\, IEEE IJCNN\, etc. She also serves as a committee member 
 of the Chinese Association for Psychological & Brain Sciences and the Chin
 ese German Association for Biology and Medicine.
LOCATION:Zoom: https://cl-cam-ac-uk.zoom.us/j/96901178502?pwd=ODJOZ0pDQnVa
 eGNleHpIUDRNTUF6QT09
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