TL;DR: Using Markov chain and phasic models of group interaction, this article examined and explained relational control interaction patterns in two decision-making groups and two women's consciousness-raising groups.
Abstract: Using Markov chain and phasic models of group interaction, this study examines and explains relational control interaction patterns in two decision‐making groups and two women's consciousness‐raising groups.
TL;DR: This review provides an overview of neuroimaging evidence on the potential interaction of emotion and cognitive control along the psychosis continuum and confirms that over-sensitivity towards negative and lowered sensitivity towards positive emotional stimuli in tasks exploring emotion-cognitive control interaction are associated with the severity of positive and negative symptoms in psychosis.
TL;DR: In this article, a 3D touch control interaction device, a touch controller interaction method thereof and a display device is described, where the position of touch objects such as hands in 3D space is obtained through the image acquisition device and the distance detector and is output to the controller so as to increase the spatial positioning accuracy.
Abstract: The invention discloses a 3D touch control interaction device, a touch control interaction method thereof and a display device. The 3D touch control interaction device comprises at least one display screen, at least one image acquisition device, at least one distance detector and a controller; the position of touch objects such as hands in a 3D space is obtained through the image acquisition device and the distance detector and is output to the controller so as to increase the spatial positioning accuracy of the 3D touch control interaction device; furthermore, the controller can complete corresponding touch control operation according to gestures identified by the image acquisition device when determining that the 3D coordinates of a hand and the scope of 3D coordinates of a 3D image have intersection points, that is, the hand touches the 3D image, to realize combination of accurate space positioning and software control; visual sense feedback is provided so that interaction operation is more smooth and the 3D display man-machine interaction experience is increased.
TL;DR: This dissertation investigates the design, development and implementation of cognitively adequate, safe and robust, spatially-related, multimodal interaction between human operators and mobile robots in Ambient Assisted Living environments both from the theoretical and practical perspectives.
Abstract: This dissertation investigates the design, development and implementation of cognitively adequate, safe and robust, spatially-related, multimodal interaction between human operators and mobile robots in Ambient Assisted Living environments both from the theoretical and practical perspectives. By focusing on different aspects of the concept Interaction, the essential contribution of this dissertation is divided into three main research packages; namely, Formal Interaction, Spatial Interaction and Multimodal Interaction in AAL. As the principle package, in Formal Interaction, research effort is dedicated to developing a formal language based interaction modelling and management solution process and a unified dialogue modelling approach. This package aims to enable a robust, flexible, and contextsensitive, yet formally controllable and tractable interaction. This type of interaction can be used to support the interaction management of any complex interactive systems, including the ones covered in the other two research packages. In the second research package, Spatial Interaction, a general qualitative spatial knowledge based multi-level conceptual model is developed and proposed. The goal is to support a spatially-related interaction in humanrobot collaborative navigation. With a model-based computational framework, the proposed conceptual model has been implemented and integrated into a practical interactive system which has been evaluated by empirical studies. It has been particularly tested with respect to a set of high-level and model-based conceptual strategies for resolving the frequent spatially-related communication problems in human-robot interaction. Last but not least, in Multimodal Interaction in AAL, attention is drawn to design, development and implementation of multimodal interaction for elderly persons. In this elderly-friendly scenario, ageing-related characteristics are carefully considered for an effective and efficient interaction. Moreover, a standard model based empirical framework for evaluating multimodal interaction is provided. This framework was especially applied to evaluate a minutely developed and systematically improved elderly-friendly multimodal interactive system through a series of empirical studies with groups of elderly persons.
TL;DR: This paper provides an analysis by means of an interaction measure defined in terms of the joint effect of process and control interaction that appears in a determinant way into the stability constraints as well as providing the limits for the desired closed-loop dynamics for each independent control loop.
Abstract: This paper analyzes process and control interaction in multivariable two-input two-output processes. It is well known that the off-diagonal terms in the matrix transfer functions introduce interaction effects that are to be taken into account at the controller design stage. When decentralized control is to be used, it is of primary importance to have knowledge of the constraints imposed by local designs into the behavior of the overall system. Special attention has to be paid to the potential instability caused by interaction effects generated by the control action on the other loop. This paper provides an analysis by means of an interaction measure defined in terms of the joint effect of process and control interaction. This interaction measure appears in a determinant way into the stability constraints as well as providing the limits for the desired closed-loop dynamics for each independent control loop.