Nonverbal behaviour not only supports verbal communication. By observing nonverbal behavior, the observer, whether it is a computer system or a human observer, can learn about the intentions, the attitudes and the feelings of its human partner. Nonverbal behavior includes gaze behavior, facial expressions, body posture, gestures, and prosodic information, but it can also include physiological information. Hence, supporting verbal communication, issuing nonverbal commands, and allowing our human or computer partners to learn about our feelings, intentions, and preferences are the main reasons for needing to detect and interprete nonverbal behavior.
Published in Chapter:
Creating Social Technologies to Assist and Understand Social Interactions
Anton Nijholt (University of Twente, The Netherlands), Dirk Heylen (University of Twente, The Netherlands), and Rutger Rienks (University of Twente, The Netherlands)
Copyright: © 2009
|Pages: 13
DOI: 10.4018/978-1-60566-264-0.ch028
Abstract
In this chapter the authors discuss a particular approach to the creation of socio-technical systems for the meeting domain. Besides presenting a methodology this chapter will present applications that have been constructed on the basis of the method and applications that can be envisioned. Throughout the chapter, illustrations are drawn from research on the development of meeting support tools. The chapter concludes with a section on implications and considerations for the on-going development of social technical systems in general and for the meeting domain in particular.