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X Demographics
Mendeley readers
Attention Score in Context
| Title |
How and Why Affective and Reactive Virtual Agents Will Bring New Insights on Social Cognitive Disorders in Schizophrenia? An Illustration with a Virtual Card Game Paradigm
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, March 2015
|
| DOI | 10.3389/fnhum.2015.00133 |
| Pubmed ID | |
| Authors |
Ali Oker, Elise Prigent, Matthieu Courgeon, Victoria Eyharabide, Mathieu Urbach, Nadine Bazin, Michel-Ange Amorim, Christine Passerieux, Jean-Claude Martin, Eric Brunet-Gouet |
| Abstract |
In recent decades, many studies have shown that schizophrenia is associated with severe social cognitive impairments affecting key components, such as the recognition of emotions, theory of mind, attributional style, and metacognition. Most studies investigated each construct separately, precluding analysis of the interactive and immersive nature of real-life situation. Specialized batteries of tests are under investigation to assess social cognition, which is thought now as a link between neurocognitive disorders and impaired functioning. However, this link accounts for a limited part of the variance of real-life functioning. To fill this gap, advances in virtual reality and affective computing have made it possible to carry out experimental investigations of naturalistic social cognition, in controlled conditions, with good reproducibility. This approach is illustrated with the description of a new paradigm based on an original virtual card game in which subjects interpret emotional displays from a female virtual agent, and decipher her helping intentions. Independent variables concerning emotional expression in terms of valence and intensity were manipulated. We show how several useful dependant variables, ranging from classic experimental psychology data to metacognition or subjective experiences records, may be extracted from a single experiment. Methodological issues about the immersion into a simulated intersubjective situation are considered. The example of this new flexible experimental setting, with regards to the many constructs recognized in social neurosciences, constitutes a rationale for focusing on this potential intermediate link between standardized tests and real-life functioning, and also for using it as an innovative media for cognitive remediation. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 1% |
| Unknown | 185 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 19% |
| Student > Master | 23 | 12% |
| Student > Doctoral Student | 19 | 10% |
| Researcher | 16 | 9% |
| Student > Bachelor | 16 | 9% |
| Other | 27 | 14% |
| Unknown | 51 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 49 | 26% |
| Computer Science | 14 | 7% |
| Medicine and Dentistry | 10 | 5% |
| Neuroscience | 10 | 5% |
| Nursing and Health Professions | 8 | 4% |
| Other | 32 | 17% |
| Unknown | 64 | 34% |
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 06 May 2015.
All research outputs
#14,863,214
of 24,074,720 outputs
Outputs from Frontiers in Human Neuroscience
#4,425
of 7,414 outputs
Outputs of similar age
#138,766
of 267,747 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#117
of 179 outputs
Altmetric has tracked 24,074,720 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,414 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one is in the 37th percentile – i.e., 37% 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 267,747 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 179 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.