Mousetrap: An integrated, open-source mouse-tracking package

Kieslich, Pascal J.; Henninger, Felix

doi:10.3758/s13428-017-0900-z

Cited by 117 publications

(123 citation statements)

References 26 publications

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“…The screen coordinates of the computer mouse were sampled at 100 Hz using the mousetrap plugin (Kieslich & Henninger, ) implemented in the open source experimental software OpenSesame (Mathôt, Schreij, & Theeuwes, ). Trajectories were processed with the package mousetrap (Kieslich & Henninger, ) using R (R Core Team, ).…”

Section: Methodsmentioning

confidence: 99%

Evidential Strength of Intonational Cues and Rational Adaptation to (Un‐)Reliable Intonation

Roettger¹,

Franke

2019

Cognitive Science

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Intonation plays an integral role in comprehending spoken language. Listeners can rapidly integrate intonational information to predictively map a given pitch accent onto the speaker's likely referential intentions. We use mouse tracking to investigate two questions: (a) how listeners draw predictive inferences based on information from intonation? and (b) how listeners adapt their online interpretation of intonational cues when these are reliable or unreliable? We formulate a novel Bayesian model of rational predictive cue integration and explore predictions derived under a concrete linking hypothesis relating a quantitative notion of evidential strength of a cue to the moment in time, relative to the unfolding speech signal, at which mouse trajectories turn towards the eventually selected option. In order to capture rational belief updates after concrete observations of a speaker's behavior, we formulate and explore an extension of this model that includes the listener's hierarchical beliefs about the speaker's likely production behavior. Our results are compatible with the assumption that listeners rapidly and rationally integrate all available intonational information, that they expect reliable intonational information initially, and that they adapt these initial expectations gradually during exposition to unreliable input. All materials, data, and scripts can be retrieved here: https://osf.io/dnbuk/

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Section: Methodsmentioning

confidence: 99%

Evidential Strength of Intonational Cues and Rational Adaptation to (Un‐)Reliable Intonation

Roettger¹,

Franke

2019

Cognitive Science

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“…The experiment was implemented in OpenSesame (Mathôt, Schreij, & Theeuwes, ) using the psynteract plug‐in for interaction between participants (Henninger, Kieslich, & Hilbig, ) and the mousetrap plug‐in for recording mouse movements (Kieslich & Henninger, ). As mentioned earlier, the games were presented as pay‐off matrices, with incentives being expressed in points (and later transferred to monetary payouts).…”

Section: Methodsmentioning

confidence: 99%

Lead Us (Not) into Temptation: Testing the Motivational Mechanisms Linking Honesty–Humility to Cooperation

et al. 2018

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Over the past decades, there has been considerable interest in individual differences in cooperative behaviour and how these can be explained. Whereas the Honesty–Humility dimension from the HEXACO model of personality has been identified as a consistent predictor of cooperation, the underlying motivational mechanisms of this association have remained unclear—especially given the confound between the temptation to exploit others and the fear of being exploited as motivational drivers of defection in social dilemmas. In a reanalysis and a new experiment, we tease apart these mechanisms by manipulating the rank order of pay‐offs in a symmetric two‐person game paradigm, essentially implementing the classic prisoner's dilemma, stag hunt, and chicken games. Results revealed that Honesty–Humility predicted cooperation specifically in the games in which temptation was a potential motivator of defection, whereas it did not account for cooperation in those games in which only fear implied defection. Our findings thereby shed light on the underlying motivational mechanisms of the Honesty–Humility–cooperation link and, more generally, demonstrate how economic games can be used to disentangle such mechanisms. Copyright © 2018 European Association of Personality Psychology

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“…Trajectories were processed with the package mousetrap (Kieslich & Henninger, 2017) using R (R Core Team, 2017).…”

Section: Resultsmentioning

confidence: 99%

Dynamic speech adaptation to unreliable cues during intonational processing

Roettger¹,

Franke²

2018

Preprint

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Human behavior is often remarkably flexible, showing the ability to quickly adapt to the statistical peculiarities of a particular local context. When it comes to language, previous work has shown that listeners' anticipatory interpretations of intonational cues are adapted dynamically when cues are observed to be stochastically unreliable. This paper reports novel empirical data from manual response dynamics (mousetracking) on how listeners adapt their predictive interpretation when some intonational cues are occasionally unreliable while others are consistently reliable. A model of rational belief dynamics predicts that listeners adapt differently to different unreliable intonational cues, as a function of their initial evidential strength. These predictions are borne out by our data.

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Mousetrap: An integrated, open-source mouse-tracking package

Cited by 117 publications

References 26 publications

Evidential Strength of Intonational Cues and Rational Adaptation to (Un‐)Reliable Intonation

Evidential Strength of Intonational Cues and Rational Adaptation to (Un‐)Reliable Intonation

Lead Us (Not) into Temptation: Testing the Motivational Mechanisms Linking Honesty–Humility to Cooperation

Dynamic speech adaptation to unreliable cues during intonational processing

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