A mental health approach to provide mobile phone users with situational awareness during a pandemic, with the goal of protecting and defending personal health. Several individual risk reduction measures were developed to help users manage personal health. This user-centric and privacy-centric approach empowers users with tools, utilities and services to bolster the ability to manage complex health information, as well as privacy rights to personal information. The two most important features are a social distance nudge, and a quarantine monitor.
The chance of a human spotting lies is 52.4%, approximately equivalent to random. However, a machine-learning approach can spot lies and classify online deception with nearly 85-100% accuracy.
The sociotechnical systems approach models multi-level interactions, extracts language-action cues, constructs dyadic attribution on trustworthiness, and identifies computer-mediated deception with accuracy.
