مقاله انگلیسی رایگان در مورد زبان سرخ سر سبز می دهد بر باد – MDPI 2022

 

مشخصات مقاله
ترجمه عنوان مقاله به باد رفتن سر انسان با کنجکاوی زیاد: عملکرد بهبود یافته در حالات کنجکاوی زیاد
عنوان انگلیسی مقاله Curiosity Killed the Cat but Not Memory: Enhanced Performance in High-Curiosity States
انتشار مقاله سال 2022
تعداد صفحات مقاله انگلیسی  8 صفحه
هزینه  دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده  نشریه MDPI
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) JCR – Master Journal List – Scopus – DOAJ – PubMed Central
نوع مقاله
ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
3.173 در سال 2020
شاخص H_index 44 در سال 2022
شاخص SJR 0.727 در سال 2020
شناسه ISSN 2076-3425
شاخص Quartile (چارک) Q3 در سال 2020
فرضیه ندارد
مدل مفهومی ندارد
پرسشنامه ندارد
متغیر ندارد
رفرنس دارد
رشته های مرتبط روانشناسی
گرایش های مرتبط روانشناسی بالینی
نوع ارائه مقاله
ژورنال
مجله / کنفرانس علوم مغز – Brain Sciences
دانشگاه University of Chieti, Italy
کلمات کلیدی مسائل بی اهمیت، پا به سن گذاشتن، حافظه، احساس
کلمات کلیدی انگلیسی trivia; aging; memory; emotion
شناسه دیجیتال – doi https://doi.org/10.3390/brainsci12070846
کد محصول e17166
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract
1. Introduction
2. Materials and Methods
3. Results
4. Discussion
References

بخشی از متن مقاله:

Abstract

     Curiosity benefits memory for target information and may also benefit memory for incidental information presented during curiosity states. However, it is not known whether incidental curiosity-enhanced memory depends on or is affected by the valence of the incidental information during curiosity states. Here, older and younger participants incidentally encoded unrelated face images (positive, negative, and neutral) while they anticipated answers to trivia questions. We found memory enhancements for answers to trivia questions and unrelated faces presented during high-curiosity compared with low-curiosity states in both younger and older adults. Interestingly, face valence did not modify memory for unrelated faces. This suggests processes associated with the elicitation of curiosity enhance memory for incidental information instead of valence.

Introduction

     Some information is easier to remember than other information and one of the reasons may be linked to curiosity. Curiosity is an intrinsic motivation to gain knowledge for its own sake rather than its instrumental utility [1–3] and is an essential component of human activity and information processing. In fact, individuals generally spend much time each day searching for information that interests them through the internet, books, asking questions, etc. According to Kashdan et al. [4], curiosity is defined as “the recognition, pursuit and desire to explore novel, uncertain, complex, and ambiguous events,” which initiates and facilitates learning. In addition, being curious and knowledge seeking has been associated with a number of positive outcomes, including better physical, psychological, cognitive, and social well-being. For example, studies show that curiosity can influence encoding and retrieval of information [5] and may also have broader effects that extend to memory for implicitly encoded unrelated information encountered in close temporal proximity to interesting information through activity in the midbrain and hippocampus and by functional connectivity between these regions [6]. These findings suggest that there may be a link between the mechanisms supporting extrinsic reward motivation and intrinsic curiosity and highlight the importance of stimulating curiosity to create more effective learning experiences. According to the PACE framework of how curiosity shapes learning and memory, dopaminergic functions improve hippocampus-dependent coding and memory consolidation [7].

Results

     Data analyses were carried out using Statistica 8.0 [31]. As conducted in previous studies [14], we considered ratings of 1, 2, and 3 as low curiosity and ratings of 4, 5, and 6 as high curiosity, and included in the analyses only trials for which participants indicated that they did not know the answer. For each subject, we calculated the percentage of correctly recalled answers and mean accuracy scores on face recognition, calculated as hits minus false alarm (FA), for all conditions. Thus, we ran two separate General Linear Models (GLMs), one for trivia recall and one for face recognition, with Curiosity (two levels: high and low) and Valence (three levels: negative, neutral, and positive) as within-subject factors and Group (two levels: younger and older) as a between-subjects factor.

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