Caspar is a developmental psychologist and director of the Goldsmiths InfantLab. He is interested in how babies adapt to the world and how we support their learning. He has investigated early concept learning, the foundations of language, time perception and sleep. His most recent research has looked at the importance of laughter and positive emotion in early life. Caspar’s book The Laughing Baby is published by Unbound in 2019.
Grants and Awards
Caspar has received external grant funding from a variety of organisations including: ESRC, European Commission, British Academy, NHS Enterprise East, Procter and Gamble, Cow and Gate.
Public Engagement and Knowledge Exchange
Caspar is strong believer in and advocate for Open Science. He held a British Academy Rising Star Engagement Award to promote Open Research in Academia and is a member of the BE-OPEN project which boosts engagement of Serbian Universities in Open Science. All his computer code and experimental data are freely available online via github and figshare.
Caspar has given many public lectures to a wide range of audiences and has performed in museums, theatres, pubs, schools and nurseries, including a talk at TEDx Bratislava on Life lessons from Laughing Babies.
Among the most fun have been various collaborated with various artists to bring his research to the life for both adults and babies. His science show for babies and parents The Joys of Toys that has been performed that the Cheltenham and Northern Ireland science festivals. Together with Prof Lauren Stewart and composer Imogen Heap, Caspar helped create the Happy Song, a song scientifically designed to make babies happy. It has been viewed over 13 million times on YouTube.
Caspar’s research has attracted widespread TV and press coverage and has been featured in over 40 international outlets from the the Albuquerque Express to the Zimbabwe Star. See Google News results about Caspar Addyman
On the web
• InfantLab - https://sites.gold.ac.uk/infantlab/
• Twitter - https://twitter.com/czzpr
• GitHub - https://github.com/InfantLab
• Blog - https://babylaughter.net/
• ResearchGate - https://www.researchgate.net/profile/Caspar_Addyman
• Google Scholar - https://scholar.google.co.uk/citations?user=LQOJGZkAAAAJ&hl=en
Caspar’s key research aim is to explain how cognitive systems get built. He studies babies in order to understand adults and seek to explain cognitive processes by looking carefully at their developmental foundations. Caspar’s research uses a diverse range of behavioural methods including eyetracking, electromyography (EMG), motion capture and video games to generate rich multimodal datasets. In parallel, he develops connectionist computational models that provide a principled quantitative framework to explain learning, behaviour and developmental change.
• Infant development
• Parent infant empathy
• Infant and parental sleep
• Speech perception
• Music in infancy
• Concept learning
• Neural networks
• Behaviour change
Thomas, Michael S C; Baughman, Frank D; Karaminis, Themis and Addyman, Caspar. 2013. Modelling developmental disorders. In: C Marshall, ed. Current issues in developmental disorders. Hove, East Sussex; New York, NY: Psychology Press, pp. 93-124.
Addyman, Caspar; Fogelquist, Charlotte; Levakova, Lenka and Rees, Sarah. 2018. Social Facilitation of Laughter and Smiles in Preschool Children. Frontiers in Psychology, 9(6), pp. 528-541. ISSN 1664-1078
Addyman, Caspar; Rocha, Sinead; Fautrelle, Lilian; French, Robert M.; Thomas, Elizabeth and Mareschal, Denis. 2017. Embodiment and the origin of interval timing: kinematic and electromyographic data. Experimental Brain Research, 235(3), pp. 923-930. ISSN 0014-4819
French, Robert M.; Addyman, Caspar; Mareschal, Denis and Thomas, Elizabeth. 2014. GAMIT - A Fading-Gaussian Activation Model of Interval-Timing: Unifying Prospective and Retrospective Time Estimation. Timing & Time Perception, 1(2), pp. 1-17. ISSN 2213-445X
Addyman, Caspar and Mareschal, Denis. 2014. GAMIT-Net: Retrospective and prospective interval timing in a single neural network. Proceedings of the 36th Annual Conference of the Cognitive Science Society, pp. 98-103.
French, Robert M.; Addyman, Caspar; Mareschal, Denis and Thomas, Elizabeth. 2014. Unifying Prospective and Retrospective Interval-time Estimation: A Fading-gaussian Activation-based Model of Interval-timing. Procedia - Social and Behavioral Sciences, 126, pp. 141-150. ISSN 1877-0428
Addyman, Caspar; Rocha, Sinead and Mareschal, Denis. 2014. Mapping the Origins of Time : Scalar Errors in Infant Time Estimation. Developmental Psychology, 50(8), pp. 2030-2035. ISSN 0012-1649
Addyman, Caspar and Mareschal, Denis. 2013. Local Redundancy Governs Infants' Spontaneous Orienting to Visual-Temporal Sequences. Child Development, 84(4), pp. 1137-1144. ISSN 0009-3920
Addyman, Caspar and French, Robert M.. 2012. Computational Modeling in Cognitive Science: A Manifesto for Change. Topics in Cognitive Science, 4(3), pp. 332-341. ISSN 1756-8757
Addyman, Caspar; French, Robert M; Mareschal, Denis and Thomas, Elizabeth. 2011. Learning to perceive time : A connectionist , memory-decay model of the development of interval timing in infants. Proceedings of 33rd Conference of Cognitive Science Society, pp. 354-359.
French, Robert M.; Addyman, Caspar and Mareschal, Denis. 2011. TRACX: a recognition-based connectionist framework for sequence segmentation and chunk extraction. Psychological Review, 118(4), pp. 614-36. ISSN 0033-295X
Addyman, Caspar and Mareschal, Denis. 2010. The perceptual origins of the abstract same/different concept in human infants. Animal Cognition, 13(6), pp. 817-833. ISSN 1435-9448
Addyman, Caspar and Mareschal, Denis. 2006. Book review of Semantic Cognition, T. T. Rogers and J. L. McClelland, MIT Press. Connection Science, 18(3), pp. 309-311. ISSN 0954-0091