More Than One Gesture but Less Than Two?: Inter-stroke Dependencies in Form and Meaning
Publication date
2024-06-01
Editors
Duffy, V.G.
Advisors
Supervisors
Document Type
Part of book
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taverne
Abstract
In gesture analysis, one must segment the gesture stream into discrete units to be analyzed for meaning and alignment with accompanying speech. This requires defining what constitutes a single “gesture”. Following the influential work of Kendon (2004) and McNeill (2005), this nearly always involves identifying the “stroke”, the gesture’s meaningful core. Innovations in the understanding of gestural meaning complicate this procedure, as there is increasing evidence that gestures are both internally complex and compositional. In the present work, we discuss the ways in which this complexity in gestural meaning may be addressed by including the notion of “gesture sequences”. Using data from American television talk shows and TED talks, we demonstrate two types of inter-stroke dependencies in pragmatic gestures where one movement’s meaning and form is dependent on that of a previous movement: (i) “closing gestures” signal the closure of a discourse topic and are dependent on a preceding presentation gesture; (ii) “contrast sequences” signal a contrast discourse relation and are dependent on adjacent presentation gestures occurring in different regions of gesture space. These findings have important implications for both how we annotate the gesture stream and how we simulate gesture in virtual agents.
Keywords
coherence, contrast, discourse, gesture, topic closure, Taverne, Theoretical Computer Science, General Computer Science
Citation
Laparle, S, Ferré, G & Scholman, M C J 2024, More Than One Gesture but Less Than Two? Inter-stroke Dependencies in Form and Meaning. in V G Duffy (ed.), Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management - 15th International Conference, DHM 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14711 LNCS, Springer, pp. 245-264. https://doi.org/10.1007/978-3-031-61066-0_15