Computation of things for human protection and fulfillment
Abstract
Computer science and computational engineering have enabled great advances in modeling and simulation to analyze various scenarios. Still, facilitating and enhancing situational awareness for a single human is rarely considered. Poor decisions by an individual encountering everyday challenges or public threat situations can have dramatic effects, both for the individual and others. In the presented research, a Computation of Things (CoTh) framework is proposed to provide individual decision support during crises and prevent long-term deviations from safe and secure conditions. The target of CoTh is to enable a profound understanding of the situation from the viewpoint of individual persons in order to permanently reduce their fear, while simultaneously increasing awareness of appropriate responses. CoTh allows for a quick forecasting of action (or non-action) alternatives based on an individual human context, including geographic position (e.g., pollution level and ener gy usage), activity patterns (e.g., personal nutrition habits, lifestyle, traveling load, family status, circle of friends, social network, and virtual life), and state patterns (e.g., the DNA, current health conditions, and musculature of a human), depending on the considered situation. Insights into CoTh's motivation, requirements, and challenges are provided and the architecture proposal is depicted.
