eprintid: 10169971 rev_number: 7 eprint_status: archive userid: 699 dir: disk0/10/16/99/71 datestamp: 2023-05-16 16:05:26 lastmod: 2023-05-16 16:05:26 status_changed: 2023-05-16 16:05:26 type: article metadata_visibility: show sword_depositor: 699 creators_name: Biotti, Federica creators_name: Ahmad, Sarah creators_name: Quinn, Racquel creators_name: Brewer, Rebecca title: Development and validation of the Interoceptive States Static Images (ISSI) database ispublished: pub divisions: UCL divisions: B03 divisions: C02 keywords: Interoception, Internal states, Bodily signals, Static images, Social interaction note: © The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. abstract: 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. date: 2022-08 date_type: published publisher: Springer Science and Business Media LLC official_url: https://doi.org/10.3758/s13428-021-01706-2 oa_status: green full_text_type: pub language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 2022951 doi: 10.3758/s13428-021-01706-2 lyricists_name: Ahmad, Sarah lyricists_id: SAHMH47 actors_name: Ahmad, Sarah actors_id: SAHMH47 actors_role: owner full_text_status: public publication: Behavior Research Methods volume: 54 pagerange: 1744-1765 issn: 1554-351X citation: Biotti, Federica; Ahmad, Sarah; Quinn, Racquel; Brewer, Rebecca; (2022) Development and validation of the Interoceptive States Static Images (ISSI) database. Behavior Research Methods , 54 pp. 1744-1765. 10.3758/s13428-021-01706-2 <https://doi.org/10.3758/s13428-021-01706-2>. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10169971/1/Development%20and%20validation%20of%20the%20Interoceptive%20States%20Static%20Images%20%28ISSI%29%20database.pdf