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Cognitive Modeling of Individual Variation in Reference Production and Comprehension

Overview of attention for article published in Frontiers in Psychology, April 2016
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3 X users

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Title
Cognitive Modeling of Individual Variation in Reference Production and Comprehension
Published in
Frontiers in Psychology, April 2016
DOI 10.3389/fpsyg.2016.00506
Pubmed ID
Authors

Petra Hendriks

Abstract

A challenge for most theoretical and computational accounts of linguistic reference is the observation that language users vary considerably in their referential choices. Part of the variation observed among and within language users and across tasks may be explained from variation in the cognitive resources available to speakers and listeners. This paper presents a computational model of reference production and comprehension developed within the cognitive architecture ACT-R. Through simulations with this ACT-R model, it is investigated how cognitive constraints interact with linguistic constraints and features of the linguistic discourse in speakers' production and listeners' comprehension of referring expressions in specific tasks, and how this interaction may give rise to variation in referential choice. The ACT-R model of reference explains and predicts variation among language users in their referential choices as a result of individual and task-related differences in processing speed and working memory capacity. Because of limitations in their cognitive capacities, speakers sometimes underspecify or overspecify their referring expressions, and listeners sometimes choose incorrect referents or are overly liberal in their interpretation of referring expressions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 32%
Student > Master 8 15%
Professor 4 8%
Lecturer 3 6%
Student > Doctoral Student 3 6%
Other 10 19%
Unknown 8 15%
Readers by discipline Count As %
Linguistics 21 40%
Psychology 7 13%
Computer Science 4 8%
Business, Management and Accounting 3 6%
Social Sciences 3 6%
Other 6 11%
Unknown 9 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 April 2016.
All research outputs
#15,332,207
of 23,577,654 outputs
Outputs from Frontiers in Psychology
#16,709
of 31,442 outputs
Outputs of similar age
#173,393
of 302,712 outputs
Outputs of similar age from Frontiers in Psychology
#285
of 443 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,442 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 302,712 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 443 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.