To help unravel the mysteries of human cognitive development and reach new the frontiers in robotics, University of Miami (UM) developmental psychologists and computer scientists from the University of California in San Diego (UC San Diego) are studying infant-mother interactions and working to implement their findings in a baby robot capable of learning social skills.
The first phase of the project was studying face-to-face interactions between mother and child, to learn how predictable early communication is, and to understand what babies need to act intentionally. The findings are published in the current issue of the journal Neural Networks in a study titled "Applying machine learning to infant interaction: The development is in the details."
The scientists examined 13 mothers and babies between 1 and 6 months of age, while they played during five minute intervals weekly. There were approximately 14 sessions per dyad. The laboratory sessions were videotaped and the researchers applied an interdisciplinary approach to understanding their behavior.
The researchers found that in the first six months of life, babies develop turn- taking skills, the first step to more complex human interactions. According to the study, babies and mothers find a pattern in their play, and that pattern becomes more stable and predictable with age,explains Daniel Messinger, associate professor of Psychology in the UM College of Arts and Sciences and principal investigator of the study.
"As babies get older, they develop a pattern with their moms," says Messinger. "When the baby smiles, the mom smiles; then the baby stops smiling and the mom stops smiling, and the babies learn to expect that someone will respond to them in a particular manner," he says. "Eventually the baby also learns to respond to the mom."
The next phase of the project is to use the findings to program a baby robot, with basic social skills and with the ability to learn more complicated interactions. The robot's name is Diego-San. He is 1.3 meters tall and modeled after a 1-year-old child. The construction of the robot was a joint venture between Kokoro Dreams and the Machine Perception Laboratory at UC San Diego.
The robot will need to shift its gaze from people to objects based on the same principles babies seem to use as they play and develop. "One important finding here is that infants are most likely to shift their gaze, if they are the last ones to do so during the interaction," says Messinger. "What matters most is how long a baby looks at something, not what they are looking at."
The process comes full circle. The babies teach the researchers how to program the robot, and in training the robot the researchers get insight into the process of human behavior development, explains Paul Ruvolo, six year graduate student in the Computer Science Department at UC San Diego and co-author of the study.
"A unique aspect of this project is that we have state-of-the-art tools to study development on both the robotics and developmental psychology side," says Ruvolo. "On the robotics side we have a robot that mechanically closely approximates the complexity of the human motor system and on the developmental psychology side we have a fine-grained motion capture and video recording that shows the mother infant action in great detail," he says. "It is the interplay of these two methods for studying the process of development that has us so excited."
Ultimately, the baby robot will give scientists understanding on what motivates a baby to communicate and will help answer questions about the development of human learning. This study is funded by National Science Foundation.
About the University of Miami
The University of Miami's mission is to educate and nurture students, to create knowledge, and to provide service to our community and beyond. Committed to excellence and proud of the diversity of our University family, we strive to develop future leaders of our nation and the world. www.miami.edu
Marie Guma-Diaz | EurekAlert!
Bergamotene - alluring and lethal for Manduca sexta
21.04.2017 | Max-Planck-Institut für chemische Ökologie
How to color a lizard: From biology to mathematics
13.04.2017 | Université de Genève
An international team of scientists has proposed a new multi-disciplinary approach in which an array of new technologies will allow us to map biodiversity and the risks that wildlife is facing at the scale of whole landscapes. The findings are published in Nature Ecology and Evolution. This international research is led by the Kunming Institute of Zoology from China, University of East Anglia, University of Leicester and the Leibniz Institute for Zoo and Wildlife Research.
Using a combination of satellite and ground data, the team proposes that it is now possible to map biodiversity with an accuracy that has not been previously...
Heatwaves in the Arctic, longer periods of vegetation in Europe, severe floods in West Africa – starting in 2021, scientists want to explore the emissions of the greenhouse gas methane with the German-French satellite MERLIN. This is made possible by a new robust laser system of the Fraunhofer Institute for Laser Technology ILT in Aachen, which achieves unprecedented measurement accuracy.
Methane is primarily the result of the decomposition of organic matter. The gas has a 25 times greater warming potential than carbon dioxide, but is not as...
Hydrogen is regarded as the energy source of the future: It is produced with solar power and can be used to generate heat and electricity in fuel cells. Empa researchers have now succeeded in decoding the movement of hydrogen ions in crystals – a key step towards more efficient energy conversion in the hydrogen industry of tomorrow.
As charge carriers, electrons and ions play the leading role in electrochemical energy storage devices and converters such as batteries and fuel cells. Proton...
Scientists from the Excellence Cluster Universe at the Ludwig-Maximilians-Universität Munich have establised "Cosmowebportal", a unique data centre for cosmological simulations located at the Leibniz Supercomputing Centre (LRZ) of the Bavarian Academy of Sciences. The complete results of a series of large hydrodynamical cosmological simulations are available, with data volumes typically exceeding several hundred terabytes. Scientists worldwide can interactively explore these complex simulations via a web interface and directly access the results.
With current telescopes, scientists can observe our Universe’s galaxies and galaxy clusters and their distribution along an invisible cosmic web. From the...
Temperature measurements possible even on the smallest scale / Molecular ruby for use in material sciences, biology, and medicine
Chemists at Johannes Gutenberg University Mainz (JGU) in cooperation with researchers of the German Federal Institute for Materials Research and Testing (BAM)...
19.06.2017 | Event News
13.06.2017 | Event News
13.06.2017 | Event News
23.06.2017 | Information Technology
23.06.2017 | Materials Sciences
23.06.2017 | Physics and Astronomy