Bio-inspired computing tools and applications: position paper

Abstract

The confluence of significant computational power and inexpensive sensors provides the opportunity to reliably collect large volumes of information from the world and extract humanly useful information resources. This paper reviews a coherent body of work over the last 20? years focused on development of advanced bio-inspired computing techniques, and their applications primarily for human related data in behaviour and human centered computing. We close with a synthesis proposing an experiment analysis methodology combining these tools.

Effective factors of icons searching performance based on visual attention capture for the nuclear power plants

“…Wu et al [15][16][17][18] conducted an experimental study of features search under visual interference and concluded that the visual display format of information matter (regular and irregular shapes; single color and hybrid color) is an important factor contributing to the speed of target identification. Gedeon, Kim, Copeland, et al [19][20][21] established the computing mode of visual information, compared information searching performance in different mobile equipment, and analyzed pupillary diameter on the processing of information searching. They determined the preferred mode and realized the eye tracking prediction of reading performance.…”