2019
DOI: 10.3389/fpsyg.2019.02459
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Noggin Nodding: Head Movement Correlates With Increased Effort in Accelerating Speech Production Tasks

Abstract: Movements of the head and speech articulators have been observed in tandem during an alternating word pair production task driven by an accelerating rate metronome. Word pairs contrasted either onset or coda dissimilarity with same word controls. Results show that as production effort increased, so did speaker head nodding, and that nodding increased abruptly following errors. More errors occurred under faster production rates, and in coda rather than onset alternations. The greatest entrainment between head a… Show more

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Cited by 6 publications
(3 citation statements)
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“…Although numerous studies have mixed the mouth position in a fully frontal direction for loud speech, head and mouth movements are not stationary, as explained by Tiede et al [ 39 ]. These types of movements can structure the discourse, indicate deixis and multiple lexical connotations.…”
Section: Methodsmentioning
confidence: 99%
“…Although numerous studies have mixed the mouth position in a fully frontal direction for loud speech, head and mouth movements are not stationary, as explained by Tiede et al [ 39 ]. These types of movements can structure the discourse, indicate deixis and multiple lexical connotations.…”
Section: Methodsmentioning
confidence: 99%
“…Just as a kinetic description of overt dance movements revealed how musical rhythms were embodied, kinetic properties of co-speech movements are also relevant for their temporal relation to continuous speech (Tuite, 1993). As noted above, speaking often occurs with movement of the head (Tiede, et al, 2019), and the degree of physical impulses through manual gesture correlates with the magnitude of concurrent head movements (Pouw et al, 2022). We suggest that the correlated nature of head and arm movements is not a coincidence, but rather arises because co-speech movements are designed to create a mechanical stimulus detectable by the vestibular periphery.…”
Section: Self-motion In Speakingmentioning
confidence: 99%
“…The EMA signal was sampled at 400 Hz. After recording, EMA data were post-processed in two steps (for more details on the method, see Tiede et al, 2019b). As a first step, movement of the head was corrected with MATLAB software using the four reference coils glued on the nose, upper incisor, and behind both ears.…”
Section: Experimental Setting and Apparatusmentioning
confidence: 99%