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“I didn't want to do it!” The detection of past intentions
In daily life and in courtrooms, people regularly analyze the minds of others to understand intentions. Specifically, the detection of intentions behind prior events is one of the main issues dealt with in courtrooms. To our knowledge, there are no experimental works focused on the use of memory det...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4633510/ https://www.ncbi.nlm.nih.gov/pubmed/26594160 http://dx.doi.org/10.3389/fnhum.2015.00608 |
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author | Zangrossi, Andrea Agosta, Sara Cervesato, Gessica Tessarotto, Federica Sartori, Giuseppe |
author_facet | Zangrossi, Andrea Agosta, Sara Cervesato, Gessica Tessarotto, Federica Sartori, Giuseppe |
author_sort | Zangrossi, Andrea |
collection | PubMed |
description | In daily life and in courtrooms, people regularly analyze the minds of others to understand intentions. Specifically, the detection of intentions behind prior events is one of the main issues dealt with in courtrooms. To our knowledge, there are no experimental works focused on the use of memory detection techniques to detect past intentions. This study aims at investigating whether reaction times (RTs) could be used for this purpose, by evaluating the accuracy of the autobiographical Implicit Association Test (aIAT) in the detection of past intentions. Sixty healthy volunteers took part in the experiment (mean age: 36.5 y; range: 18–55; 30 males). Participants were asked to recall and report information about a meeting with a person that had occurred at least 1 month before. Half of the participants were required to report about an intentional meeting, whereas the other half reported on a chance meeting. Based on the conveyed information, participants performed a tailored aIAT in which they had to categorize real reported information contrasted with counterfeit information. Results demonstrated that RTs can be a useful measure for the detection of past intentions and that aIAT can detect real past intentions with an accuracy of 95%. |
format | Online Article Text |
id | pubmed-4633510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-46335102015-11-20 “I didn't want to do it!” The detection of past intentions Zangrossi, Andrea Agosta, Sara Cervesato, Gessica Tessarotto, Federica Sartori, Giuseppe Front Hum Neurosci Neuroscience In daily life and in courtrooms, people regularly analyze the minds of others to understand intentions. Specifically, the detection of intentions behind prior events is one of the main issues dealt with in courtrooms. To our knowledge, there are no experimental works focused on the use of memory detection techniques to detect past intentions. This study aims at investigating whether reaction times (RTs) could be used for this purpose, by evaluating the accuracy of the autobiographical Implicit Association Test (aIAT) in the detection of past intentions. Sixty healthy volunteers took part in the experiment (mean age: 36.5 y; range: 18–55; 30 males). Participants were asked to recall and report information about a meeting with a person that had occurred at least 1 month before. Half of the participants were required to report about an intentional meeting, whereas the other half reported on a chance meeting. Based on the conveyed information, participants performed a tailored aIAT in which they had to categorize real reported information contrasted with counterfeit information. Results demonstrated that RTs can be a useful measure for the detection of past intentions and that aIAT can detect real past intentions with an accuracy of 95%. Frontiers Media S.A. 2015-11-05 /pmc/articles/PMC4633510/ /pubmed/26594160 http://dx.doi.org/10.3389/fnhum.2015.00608 Text en Copyright © 2015 Zangrossi, Agosta, Cervesato, Tessarotto and Sartori. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Zangrossi, Andrea Agosta, Sara Cervesato, Gessica Tessarotto, Federica Sartori, Giuseppe “I didn't want to do it!” The detection of past intentions |
title | “I didn't want to do it!” The detection of past intentions |
title_full | “I didn't want to do it!” The detection of past intentions |
title_fullStr | “I didn't want to do it!” The detection of past intentions |
title_full_unstemmed | “I didn't want to do it!” The detection of past intentions |
title_short | “I didn't want to do it!” The detection of past intentions |
title_sort | “i didn't want to do it!” the detection of past intentions |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4633510/ https://www.ncbi.nlm.nih.gov/pubmed/26594160 http://dx.doi.org/10.3389/fnhum.2015.00608 |
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