用可穿戴设备实时提醒用户减少口语中的废话和脏话。
WSCoach: Wearable Real-time Auditory Feedback for Reducing Unwanted Words in Daily Communication
- 通过可穿戴设备提供即时听觉反馈,识别并提醒不当用语。
- 相比事后分析应用,长期使用下减少废话效果更显著。
- 适合希望改善沟通表达的人群,为行为干预提供新思路。
可穿戴智能设备的兴起为通过无处不在的行为追踪与指导实现自我提升带来了前所未有的机遇。然而,有效的可穿戴行为干预系统设计仍相对未被探索。为此,我们开展了受控研究,聚焦于利用可穿戴技术通过听觉反馈减少日常交流中的不良词汇(如填充词、脏话)。我们首先进行设计空间探索,考虑反馈类型、持续时间和触发时机等因素;随后通过试点研究缩小设计选择范围,并原型化名为 WSCoach(可穿戴语音教练)的系统,可在近实时向用户提示其说出不当词汇。为评估 WSCoach,我们将其与一种先进的支持事后对话分析的移动应用进行了对比。两种方法均有效减少了不良词汇的出现,但 WSCoach 在长期使用中表现更优。最后,我们讨论了基于音频的可穿戴行为监控与干预系统的设计指南,并强调了可穿戴技术在促进行为纠正与改进方面的潜力。
原文摘要 · Abstract (English)
The rise of wearable smart devices raises unprecedented opportunities for self-improvement through ubiquitous behavior tracking and guidance. However, the design of effective wearable behavior intervention systems remains relatively unexplored. To address this gap, we conducted controlled studies focusing on the reduction of unwanted words (e.g., filler words, swear words) in daily communication through auditory feedback using wearable technology. We started with a design space exploration, considering various factors such as the type, duration, and timing of the auditory feedback. Then, we conducted pilot studies to reduce the space of design choices and prototyped a system called WSCoach (Wearable Speech Coach), which informs users when they utter unwanted words in near-real-time. To evaluate WSCoach, we compared it with a state-of-the-art mobile application supporting post-hoc conversation analysis. Both approaches were effective in reducing the occurrence of unwanted words, but WSCoach appears to be more effective in the long run. Finally, we discuss guidelines for the design of wearable audio-based behavior monitoring and intervention systems and highlight the potential of wearable technology for facilitating behavior correction and improvement. For supplementary material, please see the META Appendix and our OSF project at https://osf.io/6vhwn/?view_only=489498d3ac2d4703a17475fc6ca65dfa.
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