2023
DOI: 10.1371/journal.pone.0281589
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Can object identification difficulty be predicted based on disfluencies and eye-movements in connected speech?

Abstract: In the current study, we asked whether delays in the earliest stages of picture naming elicit disfluency. To address this question, we used a network task, where participants describe the route taken by a marker through visually presented networks of objects. Additionally, given that disfluencies are arguably multifactorial, we combined this task with eye tracking, to be able to disentangle disfluency related to word preparation from other factors (e.g., stalling strategy). We used visual blurring, which hinde… Show more

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Cited by 4 publications
(6 citation statements)
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“…A program written in PsychoPy [ 19 ] was used to create 12 networks, as in a previous studies [ 6 , 8 ]. Each network consisted of eight black-and-white drawings.…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…A program written in PsychoPy [ 19 ] was used to create 12 networks, as in a previous studies [ 6 , 8 ]. Each network consisted of eight black-and-white drawings.…”
Section: Methodsmentioning
confidence: 99%
“…The point marker indicates a nine-step route through the network. In our previous experiments [ 6 , 8 ], the time it took the point marker to complete one network was 42 s, which was identified as the natural speech rate in Dutch. However, in the current study, we reduced the time to complete a network to 35 s in order to increase the effect of semantic interference [ 15 ].…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…Indeed, speech disfluency measures are typically treated as dependent variables and tested one by one to determine whether they vary between experimental conditions when generalized across participants. In contrast, MVPA tests whether two experimental conditions can be distinguished based on all the information available to the classifier, such as different disfluency measures (Pistono & Hartsuiker, 2021, 2023.…”
Section: Introductionmentioning
confidence: 99%