Please use this identifier to cite or link to this item: doi:10.22028/D291-42274
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Title: High Performance on a Pragmatic Task May Not Be the Result of Successful Reasoning: On the Importance of Eliciting Participants’ Reasoning Strategies
Author(s): Mayn, Alexandra
Demberg, Vera
Language: English
Title: Open mind : discoveries in cognitive science
Volume: 7
Pages: 156-178
Publisher/Platform: The MIT Press
Year of Publication: 2023
Free key words: experimental stimuli
reasoning
pragmatic inferences
DDC notations: 004 Computer science, internet
400 Language, linguistics
Publikation type: Journal Article
Abstract: Formal probabilistic models, such as the Rational Speech Act model, are widely used for formalizing the reasoning involved in various pragmatic phenomena, and when a model achieves good fit to experimental data, that is interpreted as evidence that the model successfully captures some of the underlying processes. Yet how can we be sure that participants’ performance on the task is the result of successful reasoning and not of some feature of experimental setup? In this study, we carefully manipulate the properties of the stimuli that have been used in several pragmatics studies and elicit participants’ reasoning strategies. We show that certain biases in experimental design inflate participants’ performance on the task. We then repeat the experiment with a new version of stimuli which is less susceptible to the identified biases, obtaining a somewhat smaller effect size and more reliable estimates of individual-level performance.
DOI of the first publication: 10.1162/opmi_a_00077
URL of the first publication: https://direct.mit.edu/opmi/article/doi/10.1162/opmi_a_00077/116136/High-Performance-on-a-Pragmatic-Task-May-Not-Be
Link to this record: urn:nbn:de:bsz:291--ds-422749
hdl:20.500.11880/37954
http://dx.doi.org/10.22028/D291-42274
ISSN: 2470-2986
Date of registration: 26-Jun-2024
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Vera Demberg
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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