论文标题
评估自适应音乐学习软件引起的流状态差异
Assessing differences in flow state induced by an adaptive music learning software
论文作者
论文摘要
技术可以促进自学学习和休闲活动，例如音乐学习。通常，学会在电钢琴或任何其他乐器上播放一首不知名的音乐歌曲，这可能是一件琐事。在传统的自学环境中，音乐家只会通过比较自己的演奏来听到自己的错误来获得反馈。研究表明，达到流量状态会在活动中创造更愉快的体验。这项工作探讨了流程理论和游戏设计的原则是否可以应用于使初学者的音乐经验适应他们的需求并创造更高的流程。我们在研究中与21名参与者创建并评估了围绕这些注意事项的工具。我们发现，提供的反馈和缩放难度可以帮助实现流动，并且效果变得越来越明显，随着音乐参与者的经验更多。在进一步的研究中，我们希望研究学习乐谱的方法的影响。
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.
