scholarly journals Is there a self-positivity bias for destination memory? Behavioral and ERP evidence

2021 ◽  
Vol 219 ◽  
pp. 103396
Author(s):  
Mengsi Li ◽  
Aiqing Nie
2013 ◽  
Vol 20 (12) ◽  
pp. 1908-1919
Author(s):  
Yi-Ping ZHONG ◽  
Yun CHEN ◽  
Shan-Ming ZHANG ◽  
Qing-Song YANG
Keyword(s):  

Cortex ◽  
2013 ◽  
Vol 49 (1) ◽  
pp. 82-89 ◽  
Author(s):  
Mohamad El Haj ◽  
Virginie Postal ◽  
Philippe Allain

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 361-362
Author(s):  
Tara Johnson ◽  
Katie Stanko ◽  
Susan Jefferson

Abstract Destination memory errors (inability to remember to whom information was shared) affects all ages, but older adults are particularly vulnerable due to poor source monitoring. Individuals may assume information was already shared when it was not or repeat previously shared information. The current study explored two mental imagery strategies (vivid imagery, visualizing context) to improve destination memory. Using a software program, younger and older adults told randomly generated facts to random celebrity faces. Participants were unaware of the upcoming memory tests. The control group did not use a strategy. The imagery group used vivid imagery to connect the fact and face (e.g., visualize Oprah on a dime to remember Oprah was told that dimes have 118 ridges). The context group visualized a provided context (e.g., grocery store) when telling a fact to a face. Assessments of performance on item memory (facts, faces) as well as destination memory (face-fact pairings) were counterbalanced. Results indicated an associative memory deficit among older adults, which was driven by a higher rate of false alarms. However, across all adults, the vivid imagery condition was more accurate than the control condition, and they demonstrated fewer false alarms. These findings suggest that older adults can use mental imagery to reduce false alarms and improve destination memory performance. Implications include reducing age stereotypes, improving conversations, and decreasing potentially dangerous situations (e.g., withholding important health information thinking it already was shared with a doctor).


2021 ◽  
pp. 135625
Author(s):  
Ruixue Xia ◽  
Honghong Shao ◽  
Lili Cui ◽  
Peiying Zhang ◽  
Junwei Xue ◽  
...  

2015 ◽  
Vol 112 (8) ◽  
pp. 2389-2394 ◽  
Author(s):  
Peter Sheridan Dodds ◽  
Eric M. Clark ◽  
Suma Desu ◽  
Morgan R. Frank ◽  
Andrew J. Reagan ◽  
...  

Using human evaluation of 100,000 words spread across 24 corpora in 10 languages diverse in origin and culture, we present evidence of a deep imprint of human sociality in language, observing that (i) the words of natural human language possess a universal positivity bias, (ii) the estimated emotional content of words is consistent between languages under translation, and (iii) this positivity bias is strongly independent of frequency of word use. Alongside these general regularities, we describe interlanguage variations in the emotional spectrum of languages that allow us to rank corpora. We also show how our word evaluations can be used to construct physical-like instruments for both real-time and offline measurement of the emotional content of large-scale texts.


2014 ◽  
Vol 232 (3) ◽  
pp. 985-994 ◽  
Author(s):  
Yun Chen ◽  
YiPing Zhong ◽  
HaiBo Zhou ◽  
ShanMing Zhang ◽  
QianBao Tan ◽  
...  

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