Instinctive And Empathic Computing – Yang Cai

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Title: Instinctive Computing
Author: Yang Cai
Carnegie Mellon University
Date: 2007

ABSTRACT

Instinctive computing is a computational simulation of biological and cognitive instincts. It is a meta-program of life, just like universal gravity in nature. It profoundly influences how we look, feel, think, and act. If we want a computer to be genuinely intelligent and to interact naturally with us, we must give computers the ability to recognize, understand, even to have primitive instincts. In this paper, we will review the recent work in this area, the building blocks for the instinctive operating system, and potential applications. The paper proposes a ‘bottom-up’ approach that is focused on human basic instincts: forage, vigilance, reproduction, intuition and learning. They are the machine codes in human operating systems, where high-level programs, such as social functions can override the low-level instinct. However, instinctive computing has been always a default operation. Instinctive computing is the foundation of Ambient Intelligence as well as Empathic Computing. It is an essential part of
Human Computing.

FULL PAPER (PDF)

Title: Empathic Computing
Author: Yang Cai
Carnegie Mellon University
Date: 2006

ABSTRACT

Empathic computing is an emergent paradigm that enables a system to understand human states and feelings and to share this intimate information. The new paradigm is made possible by the convergence of affordable sensors, embedded processors and wireless ad-hoc networks. The power law for multiresolution channels and mobile-stationary sensor webs is introduced to resolve the information avalanche problems. As empathic computing is sensor-rich computing, particular models such as semantic differential expressions and
inverse physics are discussed. A case study of a wearable sensor network for detection of a falling event is presented. It is found that the location of the wearable sensor is sensitive to the results. From the machine learning algorithm, the accuracy reaches up to 90% from 21 simulated trials. Empathic computing is not limited to healthcare. It can also be applied to solve other everyday-life problems such as management of emails and stress.

FULL PAPER (PDF)

 

About The Author

Yang Cai, PhD is Founding Director of the Instinctive Computing Lab/Visual Intel Studio and Senior Systems Scientist of Cylab at Carnegie Mellon University. His main interest is visual computing including video understanding and visualization. He created theories of Instinctive Computing, Empathic Computing and Ambient Diagnostics.  He was a NASA Faculty Fellow in 2002 and 2003 and he has organized international workshops in Instinctive Computing, Ambient Intelligence and Digital Human Modeling.

 

(Source: Carnegie Mellon University)

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