{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T19:11:49Z","timestamp":1760037109085,"version":"build-2065373602"},"reference-count":56,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T00:00:00Z","timestamp":1759795200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia, I.P. (FCT)","award":["UID\/50008\/2023 IT","UIDB\/04524\/2020","CEECINS\/00051\/2018","2021-C05i0101-02-agendas\/alian\u00e7as mobilizadoras para a reindustrializa\u00e7\u00e3o\u2014PRR"],"award-info":[{"award-number":["UID\/50008\/2023 IT","UIDB\/04524\/2020","CEECINS\/00051\/2018","2021-C05i0101-02-agendas\/alian\u00e7as mobilizadoras para a reindustrializa\u00e7\u00e3o\u2014PRR"]}]},{"name":"Scientific Employment Stimulus","award":["UID\/50008\/2023 IT","UIDB\/04524\/2020","CEECINS\/00051\/2018","2021-C05i0101-02-agendas\/alian\u00e7as mobilizadoras para a reindustrializa\u00e7\u00e3o\u2014PRR"],"award-info":[{"award-number":["UID\/50008\/2023 IT","UIDB\/04524\/2020","CEECINS\/00051\/2018","2021-C05i0101-02-agendas\/alian\u00e7as mobilizadoras para a reindustrializa\u00e7\u00e3o\u2014PRR"]}]},{"name":"European Union","award":["UID\/50008\/2023 IT","UIDB\/04524\/2020","CEECINS\/00051\/2018","2021-C05i0101-02-agendas\/alian\u00e7as mobilizadoras para a reindustrializa\u00e7\u00e3o\u2014PRR"],"award-info":[{"award-number":["UID\/50008\/2023 IT","UIDB\/04524\/2020","CEECINS\/00051\/2018","2021-C05i0101-02-agendas\/alian\u00e7as mobilizadoras para a reindustrializa\u00e7\u00e3o\u2014PRR"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Applied Sciences"],"abstract":"<jats:p>Traditional police interrogation processes remain largely time-consuming and reliant on substantial human effort for both analysis and documentation. Intuition Artificial Intelligence (INTU-AI) is a Windows application designed to digitalize the administrative workflow associated with police interrogations, while enhancing procedural efficiency through the integration of AI-driven emotion recognition models. The system employs a multimodal approach that captures and analyzes emotional states using three primary vectors: Facial Expression Recognition (FER), Speech Emotion Recognition (SER), and Text-based Emotion Analysis (TEA). This triangulated methodology aims to identify emotional inconsistencies and detect potential suppression or concealment of affective responses by interviewees. INTU-AI serves as a decision-support tool rather than a replacement for human judgment. By automating bureaucratic tasks, it allows investigators to focus on critical aspects of the interrogation process. The system was validated in practical training sessions with inspectors and with a 12-question questionnaire. The results indicate a strong acceptance of the system in terms of its usability, existing functionalities, practical utility of the program, user experience, and open-ended qualitative responses.<\/jats:p>","DOI":"10.3390\/app151910781","type":"journal-article","created":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T10:48:07Z","timestamp":1759834087000},"page":"10781","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["INTU-AI: Digitalization of Police Interrogation Supported by Artificial Intelligence"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-8514-1589","authenticated-orcid":false,"given":"Jos\u00e9 Pinto","family":"Garcia","sequence":"first","affiliation":[{"name":"School of Technology and Management, Polytechnic University of Leiria, 2411-901 Leiria, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9727-905X","authenticated-orcid":false,"given":"Carlos","family":"Grilo","sequence":"additional","affiliation":[{"name":"School of Technology and Management, Polytechnic University of Leiria, 2411-901 Leiria, Portugal"},{"name":"Computer Science and Communication Research Centre, 2411-901 Leiria, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6207-6292","authenticated-orcid":false,"given":"Patr\u00edcio","family":"Domingues","sequence":"additional","affiliation":[{"name":"School of Technology and Management, Polytechnic University of Leiria, 2411-901 Leiria, Portugal"},{"name":"Instituto de Telecomunica\u00e7\u00f5es, 2411-901 Leiria, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4213-9302","authenticated-orcid":false,"given":"Rolando","family":"Miragaia","sequence":"additional","affiliation":[{"name":"School of Technology and Management, Polytechnic University of Leiria, 2411-901 Leiria, Portugal"},{"name":"Computer Science and Communication Research Centre, 2411-901 Leiria, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2025,10,7]]},"reference":[{"key":"ref_1","first-page":"33","article-title":"Application of AI in Everyday Life","volume":"51","author":"Sharma","year":"2022","journal-title":"Ind. 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