评估由自适应音乐学习软件引起的流动状态的差异（Multimedia）---用户6869393

科技可以促进自我学习的学术和休闲活动，如音乐学习。一般来说，学习在电子钢琴或其他乐器上演奏一首不知名的音乐歌曲是一件很麻烦的事情。在传统的自我学习环境中，音乐家只能通过比较他们演奏的音乐和乐谱，得到关于他们自己能听到哪些错误的反馈。研究表明，在活动中达到心流状态会带来更愉快的体验。本研究旨在探讨心流理论和游戏设计的原则是否可以应用于初学者的音乐体验中，以适应他们的需要，创造更高的心流。我们在一项有21名参与者的研究中创建并评估了一个基于这些考虑的工具。我们发现，提供反馈和难度缩放可以帮助实现心流，而且音乐参与者的体验越丰富，效果越明显。在进一步的研究中，我们想要检验我们学习乐谱的方法的影响。

原文题目：Assessing differences in flow state induced by an adaptive music learning software

原文：Technology can facilitate self-learning for academic and leisure activities such as music learning. In general, learning to play an unknown musical song at sight on the electric piano or any other instrument can be quite a chore. In a traditional self-learning setting, the musician only gets feedback in terms of what errors they can hear themselves by comparing what they have played with the score. Research has shown that reaching a flow state creates a more enjoyable experience during activities. This work explores whether principles from flow theory and game design can be applied to make the beginner’s musical experience adapted to their need and create higher flow. We created and evaluated a tool oriented around these considerations in a study with 21 participants. We found that provided feedback and difficulty scaling can help to achieve flow and that the effects get more pronounced the more experience with music participants have. In further research, we want to examine the influence of our approach to learning sheet music.

原文作者：Martin Haug, Paavo Camps, Tobias Umland, Jan-Niklas Voigt-Antons

原文链接：https://arxiv.org/abs/2004.13362