Gilleade, Kiel and Dix, Alan and Allanson, Jen (2005) Affective Videogames and Modes of Affective Gaming: Assist Me, Challenge Me, Emote Me. In: DiGRA 2005: Changing Views – Worlds in Play. (PDF)
This paper introduces how physiological signals can be used by a gaming system to dynamically change a game’s content, which they define as affective gaming. Within this context, the authors compare two different feedback techniques: biofeedback, and affective feedback. Continue reading
Fairclough, Stephen H. “Fundamentals of physiological computing.” Interacting with computers
21, no. 1 (2009): 133-145. (PDF
Electrical sensors attached to the human provide means to abstract physiological measures in real-time. Each sensor is designed to collect a particular stream of health data, which may correspond to the internal state of the person. The physiological measures are not created in vacuum, that is, they reflect some internal change in the organism. By that extension, several areas of research have tried to identify the reverse association between the physiological indicators and the internal state. One such area is the emerging field of physiological computing. The premise being that physiology and psychology may share some relationship, which either correlates or indicates the internal emotional state of the person.
The area of physiological computing has a relatively recent history. Several events over the past few decades have contributed to their popularization. Advancement and miniaturization of electrical sensors, popularization of body sensors for commercial and industrial purposes, and associated reduction in costs have allowed for their greater use and innovative applications.
It is believed that the communication between humans and computers is indeed a powerful and overt interaction. The intention of the user is translated to the operating system via keyboard and mouse. However, it is also asymmetrical with respect to information and state exchange; the computer can display a significant amount of information regarding its inner state, i.e. cpu speed, memory etc. however it has absolutely no information about the inner state of the user.