↓ Skip to main content

Measures for explainable AI: Explanation goodness, user satisfaction, mental models, curiosity, trust, and human-AI performance

Overview of attention for article published in Frontiers in Computer Science, February 2023
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
110 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Measures for explainable AI: Explanation goodness, user satisfaction, mental models, curiosity, trust, and human-AI performance
Published in
Frontiers in Computer Science, February 2023
DOI 10.3389/fcomp.2023.1096257
Authors

Robert R. Hoffman, Shane T. Mueller, Gary Klein, Jordan Litman

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 110 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 19%
Student > Master 11 10%
Researcher 10 9%
Unspecified 6 5%
Student > Doctoral Student 5 5%
Other 7 6%
Unknown 50 45%
Readers by discipline Count As %
Computer Science 19 17%
Business, Management and Accounting 8 7%
Unspecified 6 5%
Psychology 5 5%
Engineering 4 4%
Other 15 14%
Unknown 53 48%
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 09 February 2023.
All research outputs
#17,012,522
of 25,992,468 outputs
Outputs from Frontiers in Computer Science
#1
of 1 outputs
Outputs of similar age
#255,699
of 481,188 outputs
Outputs of similar age from Frontiers in Computer Science
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.4. This one scored the same or higher as 0 of them.
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 481,188 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them