The Current State, Criticisms, and Future of Affective Computing Software

Abstract

Affective computing software attempts to detect manifested human affects, and then change a computer’s research and retrieval processes to better locate needed information. Affective computing software attempts to discover an individual’s present affects via physiological symptoms, self report options and facial features. Such detection is completed by using wearable and non-wearable devices. Two types of affective computing software consist of self report and concurrent expression. These two types of software apply an augmented transition network which makes decisions and tries to improve a computers research and retrieval methods to please a computer user. Affective computing software is receiving some criticism because it is not yet a reliable and valid tool. Also, current affective computing software presents some ethical concerns. However, as an emerging technology, affective computing software has the potential to significantly improve the research and retrieval methods of locating information, if this software is improved.