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10.3389/fnhum.2015.00608 http://scihub22266oqcxt.onion/10.3389/fnhum.2015.00608 C4633510!4633510 !26594160     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26594160 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26594160 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Front+Hum+Neurosci 2015 ; 9 (ä): 608 Nephropedia Template TP {{tp|p=26594160 |t=2015. "I didn t want to do it!" The detection of past intentions |pdf=|usr=}}{{26594160 }} gab.com Text "I didn t want to do it!" The detection of past intentions JO: Front Hum Neurosci http://www.kidney.de/pget.php?&tw=1&pmid=26594160 #FOAvip 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%. Twit Text FOAVip "I didn t want to do it!" The detection of past intentions ????Front Hum Neurosci http://www.kidney.de/pget.php?&tw=1&pmid=26594160 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26594160 #FOAvip English Wikipedia <ref>{{Cite pmid|26594160 }}</ref> "I didn t want to do it!" The detection of past intentions #MMPMID26594160 Zangrossi A ; Agosta S ; Cervesato G ; Tessarotto F ; Sartori G Front Hum Neurosci 2015[]; 9 (ä): 608 PMID26594160 show ga 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%. ä"I didn t want to do it!" The detection of past intentions (epmc).pdf DeepDyve Pubget Overpricing