Exploring music-based attachment to video games through affect expressions in written memories

IF 2.8 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS Entertainment Computing Pub Date : 2024-08-28 DOI:10.1016/j.entcom.2024.100883
Kai Tuuri , Oskari Koskela , Heli Tissari , Jukka Vahlo
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Abstract

This paper presents an exploratory research on music-based attachment to video games, studied through personally valued game music memories. It focuses on people’s engagement with game music and game technologies, expanding previous research on the role of game music in people’s lives. We gathered 183 written game music memories and analyzed their contents and language. We focused on expressions of affect and sentiment, which we assumed would indicate affective involvement. However, we also explored the constitution of attachment by investigating how expressions of affect and sentiment were associated with other aspects in the stories that reflect personal valuation, focusing specifically on factors of autobiographical remembrance, conceptualizations of game music, and gaming technology related to memories. These investigations employed a mixed-methods approach that combined qualitative and statistical analyses. A major finding was that especially personal remembrances that involved an awareness of the self or related to the game music experience significantly predicted the use of expressions of affect and sentiment in the stories. In sum, the study outlines a framework for investigating people’s long-term engagement with technology as being intimately related to the context of everyday life and the constitution of self-understanding.

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通过书面记忆中的情感表达探索基于音乐的电子游戏依恋
本文通过个人珍视的游戏音乐记忆,对基于音乐的电子游戏依恋进行了探索性研究。研究重点是人们与游戏音乐和游戏技术的接触,拓展了以往关于游戏音乐在人们生活中的作用的研究。我们收集了 183 篇书面游戏音乐回忆,并对其内容和语言进行了分析。我们的重点是情感和情绪的表达,我们认为这将表明情感参与。然而,我们还通过调查情感和情绪的表达与故事中反映个人价值的其他方面的关联,探索了依恋的构成,特别关注了自传式回忆的因素、游戏音乐的概念化以及与回忆相关的游戏技术。这些调查采用了混合方法,结合了定性分析和统计分析。研究的一个主要发现是,特别是涉及自我意识或与游戏音乐体验相关的个人回忆,对故事中情感和情绪表达的使用有显著的预测作用。总之,这项研究勾勒出了一个框架,用于调查人们与技术的长期接触,因为技术与日常生活背景和自我认识的构成密切相关。
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来源期刊
Entertainment Computing
Entertainment Computing Computer Science-Human-Computer Interaction
CiteScore
5.90
自引率
7.10%
发文量
66
期刊介绍: Entertainment Computing publishes original, peer-reviewed research articles and serves as a forum for stimulating and disseminating innovative research ideas, emerging technologies, empirical investigations, state-of-the-art methods and tools in all aspects of digital entertainment, new media, entertainment computing, gaming, robotics, toys and applications among researchers, engineers, social scientists, artists and practitioners. Theoretical, technical, empirical, survey articles and case studies are all appropriate to the journal.
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