Identification of Unreliable Data in in-VR Surveys using Biosignal Sensors
2023 International Conference on Cyberworlds (CW)(2023)
摘要
Surveys that rely on self-reporting are often prone to error. Therefore, measures to identify meaningless, careless, or fraudulent responses in surveys can improve data quality. In the past, various indicators have been proposed to identify data with implausible responses in questionnaires, e.g. by including attention check questions or by applying statistical techniques. Immersive virtual reality (VR) environments are equipped with several biosignal sensors. We propose and investigate whether sensory data already provided by the headset or additional biosignal sensors can be useful for automatically detecting unreliable data in in-VR surveys. Our results show that biosensor signals, such as eye tracking and electrocardiography, can provide useful cues, and that this information can be combined with statistical techniques (namely the validity score) to further improve classification accuracy.
更多查看译文
关键词
questionair,data quality,validation,biosignals,virtual reality
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要