Year: 2000
Type: conference-paper
Abstract: . Visual nonverbal behaviour plays a significant role in allowing humans to structure their interactions meaningfully, thus facilitating communication between individuals. Such behaviour may be exploited in the design of socially intelligent robots. While much visual behaviour (e.g. facial expression) is hard to detect using a machine vision system, especially in unconstrained situations such as natural interaction, simple gestures and the positions of interactants are relatively easy to detect. This paper begins with a description of some related work, followed by an overview of some systems that track and/or interpret human movement. This is followed by a discussion of what is known about the structure of human interactions and a detailed example of a particular kind of structured interaction (the greeting). Ways in which interactional structure can be exploited in the development of socially intelligent robots are considered: finally, a specific application involving the use of robo...
Authors: Bernard Ogden, Kerstin Dautenhahn
Institution: University of Hertfordshire
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W1584698760