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This paper presents the definition of a process for performing rework, and a tool that executes the process in order to support humans seeking help in being sure that they are carrying out rework completely and correctly. The process definition treats rework as the reinstantiation of previously-performed activities in new contexts, which requires the careful specification and management of the values...
Although traditional bag-of-words model has shown promising results for action recognition, it takes no consideration of the relationship among spatio–temporal points; furthermore, it also suffers serious quantization error. In this letter, we propose a novel coding strategy called context-constrained linear coding (CLC) to overcome these limitations. We first calculate the contextual distance between...
This paper explores the applicability of the 'Western' concept of psychological capital to the People's Republic of China (PRC) context and highlights critical areas of divergence. Employing a grounded approach, Optimism, Creativity, Resiliency, Self-confidence, Forgiveness and Gratitude, Courage and Ambition (Hope) were found to be common types of psychological capital both in China and in the West...
This paper reports on the analysis of video footage of a human-robot study in public place regarding context factors that significantly influence the interaction. A coding scheme was developed and then used to analyze the footage. To ensure the validity of the coding, the footage was coded independently by two students and afterwards the Cohen's Kappa was calculated to ensure the intercoder reliability...
A little attention has been given to the use of recursive self organizing map (SOM) for human action recognition in the past years. This paper introduces an action recognition framework using the recursive SOM, a temporal extension of SOM that learns adapted representations of temporal context associated with a time series. We demonstrate the effectiveness of recursive SOM for data clustering, dimensionality...
We argue that a critical component of designing comprehensible intelligent systems is finding the right applications for intelligence and designing intelligent solutions toward those applications. While we do not refute the value of good attention to later stages of human-centered design such as the application of human interface design principles and usability testing as methods for improving comprehensibility,...
Although the relations between affects and posture were the focus of several studies in Psychology, their consideration in multimodal corpora research remains scarce. In this paper we survey related studies and propose a framework for studying affective postures by integrating knowledge coming from multiple sources such as literature, video corpora, motion capture data, artistic design, and perception...
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