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A basic tenet in the realm of modern behavioral sciences is that behavior consists of patterns in time. For this reason, investigations of behavior deal with sequences that are not easily perceivable by the unaided observer. This problem calls for improved means of detection, data handling and analysis. This review focuses on the analysis of the temporal(More)
A new time structure model and pattern detection procedures developed by (Magnusson, M.S., 1996. Hidden real-time patterns in intra- and inter-individual behaviour description and detection. Eur. J. Psychol. Assess. 12, 112-123; Magnusson, M.S., 2000. Discovering hidden time patterns in behaviour: T-patterns and their detection. Behav. Res. Methods,(More)
The present article analyzes the diversity of motor skills related to three different kinds of instructions: descriptive, metaphoric, and kinesic, with a special emphasis on the detection of temporal patterns (T-patterns). Twelve undergraduates studying sport and physical education, but without experience in dance, were observed during 24 lessons of Body(More)
The behavioural analysis of human-robot interactions can help in developing socially interactive robots. The current study analyzes human-robot interaction with Theme software and the corresponding pattern detection algorithm. The method is based on the analysis of the temporal structure of the interactions by detecting T-patterns in the behaviour. We have(More)
Rhythmic synchronization phenomena in interpersonal communication are classified into two, based on its temporal aspect and behavioural form similarity aspect. We focus on the temporal aspect, movement synchrony, the gestalt-like perception of movement rhythmicity or coordination. With the aid of THEME, we aim to describe it based on statistical definition(More)
Multimodal natural behavior of humans presents a complex yet highly coordinated set of interacting processes. Providing robots with such interactive skills is a challenging and worthy goal and numerous such efforts are currently underway; evaluating the progress in this direction, however, continues to be a challenge. General methods for measuring the(More)
In the field of sports research, there is a growing need for the rigorous collection of data that provide empirical evidence about the complex reality they refer to. Although sports psychology research has advanced considerably in recent years, in both extent and quality, one area of research that remains relatively unexplored is the dynamics of the sports(More)
Four principal features of autonomous control systems are left both unaddressed and unaddressable by present-day engineering methodologies: 1. The ability to operate effectively in environments that are only partially known beforehand at design time; 2. A level of generality that allows a system to reassess and redefine the fulfillment of its mission in(More)