Evidence map›Paper›PMID 34651297›Full record

ArticleBehavior research methods2022

Development and validation of the Interoceptive States Static Images (ISSI) database.

Federica Biotti, Sarah Ahmad, Racquel Quinn, Rebecca Brewer

Abstract read
In one paragraph

Article in Behavior research methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

4 authors.

Federica BiottiDepartment of Psychology, Royal Holloway, University of London, Egham, Surrey, TW20 0EX, UK. federica.biotti@rhul.ac.uk.
Sarah AhmadDepartment of Psychology, Royal Holloway, University of London, Egham, Surrey, TW20 0EX, UK.
Racquel QuinnDepartment of Psychology, Royal Holloway, University of London, Egham, Surrey, TW20 0EX, UK.
Rebecca BrewerDepartment of Psychology, Royal Holloway, University of London, Egham, Surrey, TW20 0EX, UK.

Funding

Medical Research Council MR/S003509/1
6 · The paper itself

Abstract

Internal bodily signals provide an essential function for human survival. Accurate recognition of such signals in the self, known as interoception, supports the maintenance of homeostasis, and is closely related to emotional processing, learning and decision-making, and mental health. While numerous studies have investigated interoception in the self, the recognition of these states in others has not been examined despite its crucial importance for successful social relationships. This paper presents the development and validation of the Interoceptive States Static Images (ISSI), introducing a validated database of 423 visual stimuli for the study of non-affective internal state recognition in others, freely available to other researchers. Actors were photographed expressing various exemplars of both interoceptive states and control actions. The images went through a two-stage validation procedure, the first involving free-labelling and the second using multiple choice labelling and quality rating scales. Five scores were calculated for each stimulus, providing information about the quality and specificity of the depiction, as well as the extent to which labels matched the intended state/action. Results demonstrated that control action stimuli were more recognisable than internal state stimuli. Inter-category variability was found for the internal states, with some states being more recognisable than others. Recommendations for the utilisation of ISSI stimuli are discussed. The stimulus set is freely available to researchers, alongside data concerning recognisability.

Indexed as

InteroceptionEmotionsHeart RateHumansBodily signalsInternal statesInteroceptionSocial interactionStatic images

Identifiers

PMID34651297
PMCPMC9374619

What OpenQuestion holds

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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.