Robots can play a vital role in lab.ratory tasks, especially in culturing microorganisms. Currently, many of these operations are performed manually, which leads to biased and irreproducible results. This paper explor...
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The field of persuasive technology has only recently started to investigate how virtual experiences of risk can be used to change people's attitudes and behaviors with respect to personal safety. In this paper, we...
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Virtual risk experiences have been proposed in persuasive technology as an approach to change people's attitudes and behaviors concerning safety topics. This paper advances the investigation of virtual risk experi...
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Arranging 3D objects in Virtual Environments can be a complex, error prone and time consuming task, especially for users who are not familiar with interfaces for 3D navigation and object manipulation. In this paper, w...
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PhotoMesa is a zoomable image browser that uses a novel treemap algorithm to present large numbers of images grouped by directory, or other availab.e metadata. It uses a new interaction technique for zoomable user int...
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ISBN:
(纸本)9781581134384
PhotoMesa is a zoomable image browser that uses a novel treemap algorithm to present large numbers of images grouped by directory, or other availab.e metadata. It uses a new interaction technique for zoomable user interfaces designed for novices and family use that makes it straightforward to navigate through the space of images, and impossible to get lost. PhotoMesa groups images using one of two new algorithms that lay out groups of objects in a 2D space-filling manner. Quantum treemaps are designed for laying out images or other objects of indivisible (quantum) size. They are a variation on existing treemap algorithms in that they guarantee that every generated rectangle will have a width and height that are an integral multiple of an input object size. Bubblemaps also fill space with groups of quantum-sized objects, but generate non-rectangular blobs, and utilize space more efficiently.
Searching for an item in a long ordered list that does not fit the screen is a frequent task when using mobile devices. This paper explores four different interfaces to support blind users in carrying out this task. T...
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ISBN:
(纸本)9781605588353
Searching for an item in a long ordered list that does not fit the screen is a frequent task when using mobile devices. This paper explores four different interfaces to support blind users in carrying out this task. Two of them are based on the idea of tree-augmentation of a list, proposed by Furnas [3], and differ in their depth versus breadth ratio. The other two interfaces adopt the more traditional technique of list scrolling based respectively on standard multitap and T9 keyboard entry. The paper reports also on the results of a pilot study of the four interfaces conducted on two blind users.
An emotion recognition system based on processing of multiple physiological signals is presented. Our algorithm is developed and verified based on multiple subjects by presenting multimodal stimuli that were elab.rate...
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An emotion recognition system based on processing of multiple physiological signals is presented. Our algorithm is developed and verified based on multiple subjects by presenting multimodal stimuli that were elab.rated to effectively induce emotions, and thus not dependent on single specific user. The system utilizes physiological signals that can be acquired without discomfort from body surface. Support vector machine was introduced as pattern classifier to overcome the difficulty of large overlap among clusters and large variance within cluster. Correct classification ratio was 77.8 and 61.2%, for emotion recognition problem of three and four categories, respectively. Another advantage of our system is that it requires shorter signal monitoring time than previous ones, and thus better suited for practical use.
In case of the scanning document images, they are mostly the low-resolution images and the skew images. Many document images can be applied to a variety of pattern recognition area. The document images need the image ...
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In case of the scanning document images, they are mostly the low-resolution images and the skew images. Many document images can be applied to a variety of pattern recognition area. The document images need the image preprocessing including the process of rotation. In this study, we used of three rotation processing methods: one-pass method, two-pass method, and three-pass method, for the skew coordinate transforming of the document images. We compared the result images of three rotation methods and analyzed the time complexities of three rotation methods. In this paper, we took better results in the three-pass rotation method for the document images under the angle condition between one and fifteen. And the three-pass rotation method had higher speed performance than the one-pass rotation method.
In this paper, we propose a prototype of machine-to-machine interaction system using a single RGBD camera. Based on the 3D arm pointing and tracking algorithm, system enables user to select multiple objects using thei...
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As the Web has shifted to an interactive environment where vast amounts of content is created by users, the question of whom to trust and what information to trust has become both more important and more difficult to ...
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ISBN:
(纸本)9781605584355
As the Web has shifted to an interactive environment where vast amounts of content is created by users, the question of whom to trust and what information to trust has become both more important and more difficult to answer. At the same time, social networks have become very popular with over a billion accounts shared across hundreds of networks. Social trust relationships, derived from social networks, are uniquely suited to speak to the quality of online information;recommender systems are designed to personalize, sort, aggregate, and highlight information. Merging social networks, trust, and recommender systems can improve the accuracy of recommendations and improve the user's experience. In this tutorial, we will cover the use of social trust in recommender systems. Topics including the computation of trust in social networks, integration of trust into recommender systems, and a discussion of when trust offers benefits and the challenges it presents.
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