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In modern life, people are involved in multiple online and offline social communities. Previous works on content sharing and information dissemination are single-community oriented. The complementary features as well as the joint-effect of distinct forms of social communities, however, has not been well explored. In this paper, we present hybrid social networking (HSN), which highlights the interweaving...
When a lot yield is low, we used to survey the related APC data whether it shows the abnormal signal and could be detected early to minimize the yield loss. And now, we propose to identify the yield impact by using the abnormal data detected by checking the trend or from the frequency alarm of FDC. Then we'll know the importance and share with the module as a lesson learned.
In this paper we propose a simple and effective solution to the important and challenging problem of across-camera person re-identification. We focus on the common case in video surveillance where multiple images or video frames are available for each person. Instead of exploring new features, the proposed approach aims at making a better use of such images/frames. It builds a collaborative representation...
Higher Education faces a revolutionary opportunity for change created by the confluence of pressures from economic and societal changes along with opportunities for new modes of education offered by the advancement and widespread availability of Information and Communication Technology. Advances in learning technologies are creating opportunities to improve education in 21st century competencies...
Using brain-computer interfaces (BCIs) to improve human performance has become a state-of-the-art research topic. The concept of collaborative BCIs, which aimed to use multi-brain computing to enhance human performance, was proposed recently. To further study the feasibility of collaborative BCIs, here we propose to develop an online collaborative BCI to accelerate human response to visual target...
In our research we use state-of-the-art Web and human language technology to create a language learning experience which blends foreign language acquisition with the user's everyday browsing activities. The language students can interact with their peers to foster social learning skills. The whole learning process is supported and supervised by a human instructor to offer encouragement and feedback...
We discuss the challenges of designing an adaptive service management for smart homes. Agents with intrinsic motivation are proposed to deal with environment uncertainty, incomplete information, and diversity of requirements. The proposed agent-mediate service is realized by a goal oriented approach, which can help service customers to make fast and intelligent decisions so as to achieve the user...
Agent-based systems are deployed in distributed data and control environments where resources usage are claimed to be more efficient. Researches have shown that intelligent agents offer excellent performance in distributed environments influenced by their autonomous or semi-autonomous actions with minimal human intervention. Assigned with roles, these agents are thus viewed as human-like societies...
This paper reports on an innovative approach that aims to reduce information management costs in data-intensive and cognitively-complex biomedical environments. Recognizing the importance of prominent high-performance computing paradigms and large data processing technologies as well as collaboration support systems to remedy data-intensive issues, it adopts a hybrid approach by building on the synergy...
Argumentation plays an important role in promoting deep learning, fostering conceptual change and supporting problem solving. The new “learning by arguing” paradigm leads to new learning opportunities. However, due to the difficulties in modeling human cognition, there are few learning systems that can facilitate argumentation dialogues between systems and learners. Fuzzy Cognitive Map (FCM) is an...
Intention recognition plays a key role in the cooperation among the humans. An intention describes an action or sequence of actions to be performed for achieving the intended purpose. The cooperating humans learn each others intentions while cooperation. In this paper we propose three ways how a robot can learn the intention of the cooperating human. In the first case, the robot learns the human intention...
We describe a model of “trust” in human-robot systems that is inferred from their interactions, and inspired by similar concepts relating to trust among humans. This computable quantity allows a robot to estimate the extent to which its performance is consistent with a human's expectations, with respect to task demands. Our trust model drives an adaptive mechanism that dynamically adjusts the robot's...
In this paper, we present an augmented reality learning system that enables users to experience an interactive flower garden with the assistance of interactive agents in the augmented picture. We develop an interactive agent that generates problem-solving peer support to a user's action. We overlay virtual flower garden over a physical book and offer a collaborative environment that allows a learner...
The aim of this work is to propose a cloud computing architecture simulation platform for social human-robot interaction. This paper explains the design and development of this system named SIGVerse in four main components, namely (1) SIGServer as the central server, (2) Agent Controller for user applications, (3) Service Provider, and (4) SIGViewer as the client terminal, and web based development...
Collecting data through a game with a purpose (GWAP) has become a popular approach due to its numerous benefits. However, lack of diversity in game mechanisms puts some limitations on the areas of application of GWAPs. In this paper, we introduce a new two-phase mechanism for collecting data via human-based computation games. In the first phase, the players are provided with an object and asked to...
In public advisory services, the individual's satisfaction depends less on extrinsic factors (e.g., monetary rewards) than on their inner needs fulfillment. Currently used IT-systems supporting citizen advisory services neglect these intrinsic needs of their users, hence insufficiently fostering their satisfaction. In this paper, we aim to close this gap by assessing the design requirements needed...
This study examines task performance by considering the application of information systems (ISs) in computer-mediated collaborative environments from the perspective of personal characteristics. Based on previous research, this study investigates the effects of relationship characteristics of an organization's members on their task performance. In addition, the study explores the ways in which ISs...
As firms continuously come across new and complex problems in the fast-changing business environment, they have to find available collaborator with proper expertise that is required by a problem and assign them to the problem which requires their expertise, so that the best results can be reached from the firm's holistic point of view. Since this kind of an optimization problem is taking place continuously...
Advances in autonomy have made it possible to invert the typical operator-to-unmanned vehicle ratio so that a single operator can now control multiple heterogeneous Unmanned Vehicles (UVs). Real-time scheduling and task assignment for multiple UVs in uncertain environments will require the computational ability of optimization algorithms combined with the judgment and adaptability of human supervisors...
The use of autonomous robots in organizations is expected to increase steadily over the next few decades. Although some empirical work exists that examines how people collaborate with robots, little is known about how to best design interfaces to support operators in understanding aspects of the task or tasks at hand. This paper presents a design investigation to understand how interfaces should be...
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