Evidence map›Paper›PMID 31243694›Full record

ArticleCognitive, affective & behavioral neuroscience2019

The mind minds minds: The effect of intentional stance on the neural encoding of joint attention.

Nathan Caruana, Genevieve McArthur

Abstract read
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In one paragraph

Article in Cognitive, affective & behavioral neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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  4. Article
  5. Article
  6. Article
  7. The effect of non-communicative eye movements on joint attention.Quarterly journal of experimental psychology (2006) · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Nathan CaruanaDepartment of Cognitive Science, Macquarie University, Level 3, 16 University Avenue, Sydney, NSW, 2109, Australia. nathan.caruana@mq.edu.au.
Genevieve McArthurDepartment of Cognitive Science, Macquarie University, Level 3, 16 University Avenue, Sydney, NSW, 2109, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent neuroimaging studies have observed that the neural processing of social cues from a virtual reality character appears to be affected by "intentional stance" (i.e., attributing mental states, agency, and "humanness"). However, this effect could also be explained by individual differences or perceptual effects resulting from the design of these studies. The current study used a new design that measured centro-parietal P250, P350, and N170 event-related potentials (ERPs) in 20 healthy adults while they initiated gaze-related joint attention with a virtual character ("Alan") in two conditions. In one condition, they were told that Alan was controlled by a human; in the other, they were told that he was controlled by a computer. When participants believed Alan was human, his congruent gaze shifts, which resulted in joint attention, generated significantly larger P250 ERPs than his incongruent gaze shifts. In contrast, his incongruent gaze shifts triggered significantly larger increases in P350 ERPs than his congruent gaze shifts. These findings support previous studies suggesting that intentional stance affects the neural processing of social cues from a virtual character. The outcomes also suggest the use of the P250 and P350 ERPs as objective indices of social engagement during the design of socially approachable robots and virtual agents.

Indexed as

Interpersonal RelationsAttentionEvoked PotentialsFemaleFixation, OcularHumansMalePhotic StimulationVirtual RealityYoung AdultAgencyEye gazeJoint attentionSocial interactionVirtual reality

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.