预测情感和可理解性与文本特征的主观评分:叙事诗歌的读者响应研究
Mesian Tilmatine1,2,3, Jana Lüdtke1, Arthur M Jacobs1,4
1Department of Experimental and Neurocognitive Psychology, Freie Universität Berlin, Berlin, Germany.
Frontiers in psychology
|October 23, 2024
概括
研究人员量化分析了文本特征,以预测读者对诗意小说的反应. 这项研究通过将文本特征与理解和情感参与等主观经验联系起来,提高了对文学处理的理解.
科学领域:
- 认知心理学 认知心理学
- 文学研究 文学研究
- 计算语言学 计算语言学
背景情况:
- 文学阅读涉及认知努力和情感奖励的平衡.
- 了解文本特征和读者接收之间的相互作用是关键.
- 诗意叙事小说为认知奖励提供了双重途径:美学欣赏和叙事沉浸.
研究的目的:
- 调查基于文本的定量描述符与主观读者评分之间的关系.
- 使用文本特征预测读者接收尺寸 (可理解性,价值,兴奋度,喜欢度).
- 识别在诗意叙事小说中影响这些主观评级的特定文本特征.
主要方法:
- 参与者 (N=31) 阅读并评价了一个叙事小说作品.
- 基于文本的定量描述器被用来分析文学文本.
- 统计模型被用来从文本特征预测主观评分.
主要成果:
- 基于文本的描述器准确地预测了可理解性,价值,兴奋和喜欢的主观评级.
- 该研究确定了特定的文本特征,这些特征显著影响了每个评级维度.
- 在大约140页的自然主义文本中,预测是成功的.
结论:
- 文本定量分析可以有效地预测读者在文学环境中的接收.
- 这些发现有助于经验文学研究和现有的文学处理模型.
- 未来的研究可以进一步探索文本特征和读者响应动态.
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