日本語
 
Help Privacy Policy ポリシー/免責事項
  詳細検索ブラウズ

アイテム詳細

登録内容を編集ファイル形式で保存
 
 
ダウンロード電子メール
  Dissecting the links between reward and loss, decision-making, and self-reported affect using a computational approach

Neville, V., Dayan, P., Gilchrist, I., Paul, E., & Mendl, M. (submitted). Dissecting the links between reward and loss, decision-making, and self-reported affect using a computational approach.

Item is

基本情報

表示: 非表示:
アイテムのパーマリンク: https://hdl.handle.net/21.11116/0000-0005-EB70-4 版のパーマリンク: https://hdl.handle.net/21.11116/0000-0005-EB71-3
資料種別: 成果報告書

ファイル

表示: ファイル

関連URL

表示:
非表示:
URL:
https://psyarxiv.com/ndc7h/ (全文テキスト(全般))
説明:
-
OA-Status:

作成者

表示:
非表示:
 作成者:
Neville, V, 著者
Dayan, P1, 2, 著者           
Gilchrist, ID, 著者
Paul, ES, 著者
Mendl, M, 著者
所属:
1Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3017468              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

内容説明

表示:
非表示:
キーワード: -
 要旨: Links between affective states and disorders, and risk-taking and reward sensitivity, are often characterised using summary statistics from serial decision-making tasks. However, our understanding of these links, and the utility of decision-making as a marker of affect, needs to consider that within-task experience of rewarding and punishing decision outcomes may alter future decisions and affective states. We investigated this issue by examining relationships between reward and loss experience, affect, and decision-making in humans using a novel judgement bias task analysed with a novel computational model. Findings included that participants made more pessimistic decisions when recent outcomes were unpredictable, and this effect was greatest in those reporting negative affect. More positive affect was reported when recent and offered decision outcomes were positive, and average earning rate was high. Short-term reward and loss experience can thus influence both future affect and decision-making, and computational modelling may reveal new decision-making markers of affect.

資料詳細

表示:
非表示:
言語:
 日付: 2020-03
 出版の状態: 投稿済み
 ページ: -
 出版情報: -
 目次: -
 査読: -
 識別子(DOI, ISBNなど): DOI: 10.31234/osf.io/ndc7h
 学位: -

関連イベント

表示:

訴訟

表示:

Project information

表示:

出版物

表示: