人机交互与临床短语预测系统,与Zipf的最小努力原则保持一致?
Jamil Zaghir1,2, Mina Bjelogrlic1,2, Jean-Philippe Goldman1,2
1Division of Medical Information Sciences, Geneva University Hospitals, Geneva, Switzerland.
PloS one
|December 31, 2024
概括
临床医生在使用短语预测系统时调整他们的语言,优先考虑沟通准确性的独特性而不是易用性. 这项研究为人机语言适应提供了新的见解.
科学领域:
- 语言学的语言学.
- 人与计算机的交互
- 进化心理学 进化心理学
背景情况:
- 语言进化和决定因素是复杂的研究领域.
- 了解在技术介导的环境中语言的使用至关重要.
研究的目的:
- 为了研究临床医生使用短语预测系统的语言适应.
- 确定临床人机交互中语言出现的关键决定因素.
主要方法:
- 临床医生语言使用的大规模观察性研究.
- 分析与短语预测系统的相互作用.
- 进化适应原理的应用.
主要成果:
- 临床医生的语言行为适应技术互动.
- 适应是由简洁和独特的力量驱动的.
- 优化有利于独特性,提高沟通准确性而不是简单性.
结论:
- 临床医生的语言行为适应以优化与技术的互动.
- 独特性是主要的驱动因素,确保准确的沟通.
- 这些发现为人机交互中的语言适应提供了新的见解.
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