BIROn - Birkbeck Institutional Research Online

    Learning process of gaze following: computational modelling based on reinforcement learning

    Ishikawa, M. and Senju, Atsushi and Itakura, S. (2020) Learning process of gaze following: computational modelling based on reinforcement learning. Frontiers in Psychology , ISSN 1664-1078. (In Press)

    [img] Text
    30733.pdf - Author's Accepted Manuscript
    Restricted to Repository staff only

    Download (756kB)

    Abstract

    Many studies have explored factors which influence gaze following behaviour of young infants. However, the results of empirical studies were inconsistent and the mechanism underlying the contextual modulation of gaze following remains unclear. In order to provide valuable insight into the mechanisms underlying gaze following, we conducted computational modelling using Q-learning algorithm and simulated the learning process of infant gaze following to suggest a feasible model. In Experiment 1, we simulated how communicative cues and infant internal states affect the learning process of gaze following. The simulation indicated that the model in which communicative cues enhance infant internal states is the most feasible to explain the infant learning process. In Experiment 2, we simulated how individual differences in motivation for communication affect the learning process. The results showed low motivation for communication can delay the learning process and decrease the frequency of gaze following. These simulations suggest that communicative cues may enhance infants’ internal states and promote the development of gaze following. Also, initial social motivation may affect the learning process of social behaviours in the long term.

    Metadata

    Item Type: Article
    School: Birkbeck Schools and Departments > School of Science > Psychological Sciences
    Research Centres and Institutes: Brain and Cognitive Development, Centre for (CBCD)
    Depositing User: Administrator
    Date Deposited: 31 Jan 2020 07:22
    Last Modified: 12 Jul 2020 12:04
    URI: http://eprints.bbk.ac.uk/id/eprint/30733

    Statistics

    Downloads
    Activity Overview
    0Downloads
    68Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item