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In intelligent tutoring systems, one fundamental problem that limits learning gains is the unproductive use of on-demand help features, namely overuse or aversion, resulting in students misusing the system rather than engaging in active learning. Social robots as tutoring agents have the potential to mitigate those behaviors by actively shaping productive help-seeking behaviors. We hypothesize that...
A method for automatic detection or recognition using high-frequency forward-looking imaging sonar is proposed. The method includes segmentation of an underwater object's echo shape or its acoustic shadow shape. For accuracy of segmentation, some constraints were assumed on the underwater ground and the sonar's pose. The separated shape was compared to simulated reference shapes to know its orientation...
Non-rigid point set registration is a fundamental problem for many computer vision technologies. In this paper, we proposed a new non-rigid point set registration method based on coherent spatial mapping (CSM) and local geometrical constraint. Our central idea is to express each point as a weighted sum of several nearest neighbors and the same relation holds after the transformation. The registration...
With the development of single-person analysis in computer vision, social group analysis has received growing attention as the next area of research. In particular, group detection has been actively studied as the first step of social analysis. Here, group means an F-formation, that is, a spatial organization of people gathered for conversation. Popular group detection methods are based on coincidences...
Human behavior is the largest source of variance in health-related outcome, and the increasingly popular online health network can be used to promote health behavior and health outcome. Based on social norm, social support and number of social ties, this study explores how different online social ties correlate with the health behavior of users. With the ordered logistic regression model, we find...
The increasing use of Enterprise Social Networks (ESN) has been resulting in important changes in individual work practices, and is subject of numerous studies. From both a theoretical and a practical perspective, there is a lack of well-founded knowledge on how the implementation of ESN can be supported best to trigger both learning and change processes in the enterprise. For such processes, managers...
The goal of this minitrack is to offer a venue for research that focuses on digital innovation, broadly defined. This includes research into unique and specific effects of digital technologies on different forms of organizational innovation. In particular, new forms of service offerings, products, or ways of organizing processes that did not exist before the availability of large scale digitalization.
Information underlies political participation, making information critical to governance and political systems, particularly in democracies. Furthermore, institutions critically shape distribution of information. In this sense, critical analysis of information flows within the Institutional Analysis and Development (IAD) Framework would importantly contribute to improved understanding of the political...
We propose an adaptive approach to 3-D object classification. In this approach appropriate 3-D feature descriptor algorithms for 3-D point clouds are selected via reinforcement learning depending on properties of the objects to be classified. This approach is supposed to be able to learn strategies for an advantageous selection of 3-D point cloud descriptor algorithms in an autonomous and adaptive...
Advanced Driver Assistance Systems (ADAS) rely on a combination of data acquired from on-board sensors and map data, the so-called Electronic Horizon. The Electronic Horizon provides an extended view on the surroundings of the ego vehicle, thereby enriching safety and efficiency applications. In this context, one key aspect is the application program interface (API) that is used between the Electronic...
How can we design intelligent play environments for open-ended play that support richness in play? Rich play can be described as ongoing play that changes over time in character, form and nature. This paper elaborates on our initial insights on how rules and goals develop from interaction opportunities of the system, based on two pilot studies with an interactive play environment for open-ended play...
In this paper, we address the problem of shape part recognition. For this purpose, we define a robust distance between shape parts based on geodesics in the shape space. The proposed distance uses an elastic shape matching to handle elastic deformations and compare shape parts locally. This distance is applied to shape part classification and shape part retrieval. An experimental study through the...
This paper is interested in shape representation and recognition with a particular target to technical and line-drawing symbols. Specifically, two sorts of directional and spatial features are explored to construct a new descriptor for symbol matching and recognition. These features are rotation-, translation- and scale-invariant and can be extracted with a low cost of computation. The descriptor...
To effectively discriminate the so called “significant motion”, actions with subtle differences, such as minimum inertia among running, jogging and walking, are approximated by a new local posture descriptor. First, each human pose from action sequences is divided into multiple local rigid body-parts (LRBPs) by the multi-group 2-simplex templates. Second, a new local posture descriptor is proposed...
Understanding the precise 3D structure of an environment is one of the fundamental goals of computer vision and is challenging due to a variety of factors such as appearance variation, illumination, pose, noise, occlusion and scene clutter. A generic solution to the problem is ill-posed due to the loss of depth information during imaging. In this paper, we consider a specific but common situation,...
Motivated by the increased consideration of probability distributions as local descriptors of shape, we propose a local descriptor based on a bivariate circular distribution. Although some bivariate circular distributions are difficult to compute, our descriptor is computationally feasible because it is a generalization of the mixture of von Mises distributions. Using various shapes formed by line...
In designing BYOB and Snap/, we wanted to extend the Scratch idea of visual metaphors for control structures to include anonymous procedures and higher order functions. We describe the iterations in the design leading to the current "grey ring" notation.
Discovering changes in the data distribution of streams and discovering recurrent data distributions are challenging problems in data mining and machine learning. Both have received a lot of attention in the context of classification. With the ever increasing growth of data, however, there is a high demand of compact and universal representations of data streams that enable the user to analyze current...
Active military and student veterans navigate engineering education in ways both similar to and different from their civilian counterparts. This Work in Progress describes variation in institutional environments through interviews with campus administrators and inspection of university websites at four institutions. Three emerging themes are identified: 1) the presence/absence of key student policies,...
In this paper, we describe the developed hovering-type AUV called “Cyclops” and discuss characteristics of imaging sonar DIDSON as an tool for AUV application. The Cyclops was designed to perform an advanced mission like object recognition, and its symmetric design enable to maximize the mobility of the vehicle. This hardware structure makes the maintenance of the vehicle fast and convenient. We introduce...
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