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Other literature type . 2025
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Presentation . 2025
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2025
License: CC BY
Data sources: Datacite
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Modeling strategic choices in indirect requests

Authors: Mühlenbernd, Roland; Burbelko, Mariya; Solt, Stephanie; Sauerland, Uli;

Modeling strategic choices in indirect requests

Abstract

To ensure effective communication, it is crucial for a speaker to clearly convey the intended meaning while also being mindful of how they phrase their statements to avoid potentially offending the listener. When making requests, speakers often address these challenges by using 'indirect speech', as seen in examples like (1) "Can you open the window?" or (2) "Are you able to open the window?". Indirect requests, like (1) and (2), are considered to carry two types of meaning: literal meaning (inquiring about the listener's ability to perform an action) and directive meaning (asking the listener to perform the action), with variations in the extent to which (1) and (2) express these meanings. We introduce a probabilistic framework that models the speaker's choices between alternatives such as (1) and (2). The model can predict how these choices vary across different social parameters, highlighting the connection between differences in meaning and the selection of request alternatives. 

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citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green