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Measuring User Experience Inclusivity in Human-AI Interaction via Five User Problem-Solving Styles

Overview of attention for article published in ACM Transactions on Interactive Intelligent Systems, May 2024
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About this Attention Score

  • Among the highest-scoring outputs from this source (#33 of 200)
  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
2 Mendeley
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Title
Measuring User Experience Inclusivity in Human-AI Interaction via Five User Problem-Solving Styles
Published in
ACM Transactions on Interactive Intelligent Systems, May 2024
DOI 10.1145/3663740
Authors

Andrew Anderson, Jimena Noa Guevara, Fatima Moussaoui, Tianyi Li, Mihaela Vorvoreanu, Margaret Burnett

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 100%
Readers by discipline Count As %
Unspecified 2 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 16 May 2024.
All research outputs
#7,056,913
of 25,920,652 outputs
Outputs from ACM Transactions on Interactive Intelligent Systems
#33
of 200 outputs
Outputs of similar age
#45,596
of 177,171 outputs
Outputs of similar age from ACM Transactions on Interactive Intelligent Systems
#2
of 3 outputs
Altmetric has tracked 25,920,652 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 200 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 83% of its peers.
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 177,171 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.