Enhancing crew capabilities for planning and scheduling activities is critical for periods of increased crew autonomy in future long-duration missions where communication delays preclude real-time ground support from ...
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Personalized learning is hard to apply in classroom practice due to the workload of teachers. Recommender systems can help teachers make choices and hence personalize the learning environment. However, few studies hav...
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Ease of use and navigation are important features when selecting a Content Management System (CMS). In this paper we compare two Learning Management Systems (LMS): Blackboard and Desire2Learn. For select administrativ...
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In light of changing demographics and an ageing population, research on new technologies to support older people and people with disabilities in independent living is vital. This paper will present the results to date...
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Numerous guidelines for making websites more accessible for older users have been proposed, but few provide evidence from such users for their recommendations This study investigated effects of line spacing and text j...
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ISBN:
(纸本)9781450324052
Numerous guidelines for making websites more accessible for older users have been proposed, but few provide evidence from such users for their recommendations This study investigated effects of line spacing and text justification on younger (24 - 31 years) and older (65 - 78 years) adults' performance and preferences in web reading tasks. The three levels of line spacing (single, 1.5, and double) and 2 types of text justification (left only and left-right) were studied. Neither variable had a significant effect on performance measures, although both younger and older adults preferred 1.5 or double spacing over single spacing. There were no significant differences in preferences for left versus left-right justification. These results suggest that contrary to common recommendations, 1.5 or double spacing should be recommended for all users, not only older users and that no recommendation is needed on text justification. Copyright 2013 ACM.
Using recipes in a step-by-step format with multimedia enhancements has been found to increase confidence and enjoyment of cooking but the field lacks research with cooks on the problems they encounter, so it is uncle...
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Following recipes can be difficult for cooks. Many recipes use technical culinary language and condense their instructions into brief sentences, cooks may also get lost in long paragraphs as they jump around the recip...
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Traditionally, there have been two approaches to powerful logic-based user modeling: First, in the modal logic approach, there is one knowledge base that consists of formulas of one (modal) logic formalism. Second, th...
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ISBN:
(纸本)3540650806
Traditionally, there have been two approaches to powerful logic-based user modeling: First, in the modal logic approach, there is one knowledge base that consists of formulas of one (modal) logic formalism. Second, the partition approach divides the user model into partial knowledge bases, mainly to distinguish between different types of assumptions about the user. For the user modeling shell system BGP-MS an approach to integrate partitions with modal logic was developed and later refined to become the user model representation and reasoning framework AsTRa, which is also applicable in the more general case of agent modeling. In this framework, however, there is a representational gap between partitions and modal logic. A specific kind of user model contents, which we call negative assumptions, falls into this gap. Since negative assumptions have been quite frequently used with BGP-MS, we developed specialized mechanisms for dealing with them. This paper gives a brief overview of AsTRa, and formally presents the above-mentioned mechanisms. Like the whole AsTRa framework, they are semantically related to modal logic, which is proven.
This article makes the proposal for a software architecture that allows dynamic adaptation of Web interfaces depending on user interaction requirements, giving special attention to individuals who have any kind of dis...
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The goal of this paper is unsupervised face clustering in edited video material - where face tracks arising from different people are assigned to separate clusters, with one cluster for each person. In particular we e...
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ISBN:
(纸本)1595930361
The goal of this paper is unsupervised face clustering in edited video material - where face tracks arising from different people are assigned to separate clusters, with one cluster for each person. In particular we explore the extent to which faces can be clustered automatically without making an error. This is a very challenging problem given the variation in pose, lighting and expressions that can occur, and the similarities between different people. The novelty we bring is three fold: first, we show that a form of weak supervision is available from the editing structure of the material - the shots, threads and scenes that are standard in edited video;second, we show that by first clustering within scenes the number of face tracks can be significantly reduced with almost no errors;third, we propose an extension of the clustering method to entire episodes using exemplar SVMs based on the negative training data automatically harvested from the editing structure. The method is demonstrated on multiple episodes from two very different TV series, Scrubs and Buffy. For both series it is shown that we move towards our goal, and also outperform a number of baselines from previous works. Copyright is held by the authors.
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