This work describes an approach to time-series modeling of social interactions between human and robot, which is motivated by the social psychology concept of social grounding. In this model, the goal of the agents is to establish and use patterns of communication, rather than rely on existing patterns. Our goal is to allow an artificial agent to construct a pattern of shared meaning with a human or other agent through shared experience rather than relying a model provided a priori. We describe a preliminary human robot interaction study which illustrates the proposed approach. The flow of time is a situated, context-dependent experience. Face-to-face with a snarling dog, you may feel time slow down to a trickle, seemingly giving you a chance to react. Spending time with friends, it may surprise you to find that the hours have flown by “in no time.” Technological artifacts, such as clocks and electricity, have had a rationalizing effect on our representation of the passage of time, turning our situated reactions and diurnal rhythms into mechanically standardized minutes, hours, and days. These technologies have also allowed for the construction of analytical concepts with which to objectively describe and measure the passage of time, such as speed, acceleration, tempo, and delay. In the moment of action, however, our experience of time emerges through our interactions with the environment and the common understanding that we develop with other actors, rather than being perceived as a quantity denoting a particular speed or rate of acceleration.
Nema pronađenih rezultata, molimo da izmjenite uslove pretrage i pokušate ponovo!
Ova stranica koristi kolačiće da bi vam pružila najbolje iskustvo
Saznaj više