Abstract
infancy argued to be fundamental to joint attention and later
language. However how gaze following emerges has been a topic
of great debate. The most widely-accepted developmental theories
suggest that infants are able to gaze follow only by understanding
shared attention. Another group of theories suggests that infants
may learn to follow gaze based on low-level social reinforcement.
Nagai et al. [Advanced Robotics, 20, 10 (2006)] successfully taught
a robot to gaze follow purely through social reinforcement, and
found that the robot learned to follow gaze in the horizontal plane
before it learned to follow gaze in the vertical plane. In this study,
we tested whether 12-month-old infants were also better at gaze
following in the horizontal than the vertical plane. This prediction
does not follow from the predominant developmental theories,
which have no reason to assume differences between infants’
ability to follow gaze in the two planes. We found that infants had
higher accuracy when following gaze in the horizontal than the
vertical plane (p = .01). These results confirm a core prediction of
the robot model, suggesting that children may also learn to gaze
follow through reinforcement learning. This study was preregistered,
and all data, code, and materials are openly available
on the Open Science Framework (https://osf.io/fqp8z/).
| Original language | English |
|---|---|
| Title of host publication | 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob 2019) |
| Publisher | IEEE |
| ISBN (Electronic) | 978-1-5386-8128-2 |
| ISBN (Print) | 978-1-5386-8129-9 |
| Publication status | Published - 19 Aug 2019 |
Publication series
| Name | 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob 2019) |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 2161-9484 |
Fingerprint
Dive into the research topics of 'New evidence for learning-based accounts of gaze following: Testing a robotic prediction'. Together they form a unique fingerprint.Projects
-
RAI: Centre for Robotics and Artificial Intelligence
Cangelosi, A. (PI), Lennox, B. (PI), Weightman, A. (CoI), Dennis, L. (CoI), Dixon, C. (CoI), Fisher, M. (CoI), Herrmann, G. (CoI), Dickson, A. (CoI), Lanzon, A. (CoI), Stancu, A. (CoI), Miller, A. (CoI), Freitas, A. (CoI), Nini, A. (CoI), Voronkov, A. (CoI), Brass, A. (CoI), Vijayaraghavan, A. (CoI), Parslew, B. (CoI), crowther, W. (CoI), Grieve, B. (CoI), Adorno, B. (CoI), Jay, C. (CoI), Wang, C. C. L. (CoI), Todd, C. (CoI), Soutis, C. (CoI), Arsene, C. (CoI), Dresner, D. (CoI), Barrett, E. (CoI), Gowen, E. (CoI), Arvin, F. (CoI), Podd, F. (CoI), Brown, G. (CoI), Reger, G. (CoI), Cooper, G. (CoI), Mairs, H. (CoI), Yin, H. (CoI), Kinloch, I. (CoI), Eleftheriou, I. (CoI), Li, J. (CoI), Carrasco Gomez, J. (CoI), Ainsworth, J. (CoI), Sinha, J. (CoI), Ozanyan, K. (CoI), Smith, K. (CoI), Twomey, K. (CoI), Margetts, L. (CoI), Ren, L. (CoI), Zhang, L. (CoI), Cordeiro, L. (CoI), Rattray, M. (PI), Bissett, M. (CoI), Elliot, M. (CoI), Alvarez, M. (CoI), Luján, M. (CoI), Nabawy BSc, MSc, PhD, MRAeS, SMAIAA, FHEA, M. (CoI), Peek, N. (CoI), Marjanovic, O. (CoI), Dorn, O. (CoI), Dudek, P. (CoI), Green, P. (CoI), Connolly, P. (CoI), Da Silva Bartolo, P. J. (CoI), Gardner, P. (CoI), Martin, P. (CoI), Potluri, P. (CoI), Curtis, R. (CoI), Schmidt, R. (CoI), Banach, R. (CoI), Batista-Navarro, R. T. (CoI), Kaski, S. (CoI), Midson, S. (CoI), Watson, S. (CoI), Holm, S. (CoI), Furber, S. (CoI), Schlegel, V. (CoI), Mirihanage, W. (CoI), Mansell, W. (CoI), Pan, W. (CoI), Sampson, W. (CoI), Sellers, W. (CoI), Yang, W. (CoI), Cai, P. (CoI), Sun, Y. (CoI), Alharthi, A. (Researcher), Macario Rojas, A. (Researcher), Serhan, B. (Researcher), Yu, C. (Researcher), Abara, D. (Researcher), Lopez Pulgarin, E. (Researcher), Faruq, F. (Researcher), Tavella, F. (Researcher), Semeraro, F. (Researcher), Liu, G. (Researcher), Fang, G. (Researcher), Niu, H. (Researcher), Taylor, H. (PI), Zhu, H. (PGR student), Collenette, J. (Researcher), Amano, K. (Researcher), Lo, K. C. J. (PGR student), Raggioli, L. (Researcher), Romeo, M. (Researcher), Ruocco, M. (PGR student), Ghaffari Saadat, M. (Researcher), Walmsley, M. (Researcher), Mubarik, A. (Researcher), Vinanzi, S. (Researcher), Su, Y.-H. (PGR student), McAleese, H. (PGR student), Stringer, P. (PGR student), Stoican, R. (PGR student), Ye, R. (PGR student), Kurawa, S. S. (PGR student), Zhang, T. (PGR student), Krywonos, W. (PGR student), Xu, Y. (PGR student), Tian, Y. (PGR student), Henderson, A. (Technical team), Morley, D. (Support team), Tallentire, J. (Support team), Smith, J. (Support team), Hawthornthwaite, S. (Support team), Carlson, J. (Support team) & Baniqued, P. D. (Researcher)
Project: Research