Xinjiang University of Science and Technology, Korla 841000, Xinjiang Uygur Autonomous Region, China.
Fa Yi Xue Za Zhi. 2022 Dec 25;38(6):783-787. doi: 10.12116/j.issn.1004-5619.2021.110801.
Traditional polygraph techniques mostly rely on the changes of an individual's physiological indicators, such as electrodermal activity, heart rate, breath, eye movement and function of neural signals and other indicators. They are easily affected by individual physical conditions, counter-tests, external environment and other aspects, and it is difficult to conduct large-scale screening tests based on the traditional polygraph techniques. The application of keystroke dynamics to polygraph can overcome the shortcomings of the traditional polygraph techniques to a large extend, increase the reliability of polygraph results and promote the validity of legal evidence of polygraph results in forensic practice. This paper introduces keystroke dynamics and its application in deception research. Compared with the traditional polygraph techniques, keystroke dynamics can be used with a relatively wider application range, not only for deception research but also for identity identification, network screening and other large-scale tests. At the same time, the development direction of keystroke dynamics in the field of polygraph is prospected.
传统的测谎技术主要依赖于个体生理指标的变化，如皮肤电活动、心率、呼吸、眼动和神经信号等指标的变化。这些指标很容易受到个体身体状况、反测试、外部环境等方面的影响，因此很难基于传统的测谎技术进行大规模的筛选测试。将击键动力学应用于测谎技术可以在很大程度上克服传统测谎技术的缺点，提高测谎结果的可靠性，并促进测谎结果在法医学实践中的法律效力。本文介绍了击键动力学及其在欺骗研究中的应用。与传统的测谎技术相比，击键动力学可以应用于更广泛的范围，不仅可用于欺骗研究，还可用于身份识别、网络筛选和其他大规模测试。同时，还展望了击键动力学在测谎领域的发展方向。
