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How do we think machines think? An fMRI study of alleged competition with an artificial intelligence

Overview of attention for article published in Frontiers in Human Neuroscience, January 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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1 news outlet
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4 X users

Citations

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98 Dimensions

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190 Mendeley
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Title
How do we think machines think? An fMRI study of alleged competition with an artificial intelligence
Published in
Frontiers in Human Neuroscience, January 2012
DOI 10.3389/fnhum.2012.00103
Pubmed ID
Authors

Thierry Chaminade, Delphine Rosset, David Da Fonseca, Bruno Nazarian, Ewald Lutcher, Gordon Cheng, Christine Deruelle

Abstract

Mentalizing is defined as the inference of mental states of fellow humans, and is a particularly important skill for social interactions. Here we assessed whether activity in brain areas involved in mentalizing is specific to the processing of mental states or can be generalized to the inference of non-mental states by comparing brain responses during the interaction with an intentional and an artificial agent. Participants were scanned using fMRI during interactive rock-paper-scissors games while believing their opponent was a fellow human (Intentional agent, Int), a humanoid robot endowed with an artificial intelligence (Artificial agent, Art), or a computer playing randomly (Random agent, Rnd). Participants' subjective reports indicated that they adopted different stances against the three agents. The contrast of brain activity during interaction with the artificial and the random agents didn't yield any cluster at the threshold used, suggesting the absence of a reproducible stance when interacting with an artificial intelligence. We probed response to the artificial agent in regions of interest corresponding to clusters found in the contrast between the intentional and the random agents. In the precuneus involved in working memory, the posterior intraparietal suclus, in the control of attention and the dorsolateral prefrontal cortex, in executive functions, brain activity for Art was larger than for Rnd but lower than for Int, supporting the intrinsically engaging nature of social interactions. A similar pattern in the left premotor cortex and anterior intraparietal sulcus involved in motor resonance suggested that participants simulated human, and to a lesser extend humanoid robot actions, when playing the game. Finally, mentalizing regions, the medial prefrontal cortex and right temporoparietal junction, responded to the human only, supporting the specificity of mentalizing areas for interactions with intentional agents.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
Spain 2 1%
Uganda 1 <1%
Hungary 1 <1%
Netherlands 1 <1%
Japan 1 <1%
Unknown 182 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 20%
Student > Master 32 17%
Researcher 27 14%
Student > Bachelor 11 6%
Student > Doctoral Student 10 5%
Other 36 19%
Unknown 36 19%
Readers by discipline Count As %
Psychology 61 32%
Computer Science 20 11%
Neuroscience 13 7%
Agricultural and Biological Sciences 10 5%
Medicine and Dentistry 9 5%
Other 30 16%
Unknown 47 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 07 June 2019.
All research outputs
#2,987,573
of 25,203,135 outputs
Outputs from Frontiers in Human Neuroscience
#1,405
of 7,642 outputs
Outputs of similar age
#22,815
of 256,408 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#83
of 292 outputs
Altmetric has tracked 25,203,135 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,642 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done well, scoring higher than 81% 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 256,408 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 292 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.