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Human-intensive cyber-physical systems involve software applications and hardware devices, but also depend upon the expertise of human participants to achieve their goal. In this paper. we describe a project we have started to improve the effectiveness of such systems by providing Smart Checklists to support and guide human participants in carrying out their tasks, including their interactions with...
Most human centric business activities, like the handling of an insurance claim or the design of an IT solution, do not follow a formal process model word-by-word. While there are often underlying processes in place, the real business operation typically encompasses a wider scope of actions. It includes unstructured segments of human activities, additional documents and interactions, the integration...
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...
What do people care about in an image? To drive computational visual recognition toward more human-centric outputs, we need a better understanding of how people perceive and judge the importance of content in images. In this paper, we explore how a number of factors relate to human perception of importance. Proposed factors fall into 3 broad types: 1) factors related to composition, e.g. size, location,...
Pedestrian detection from images is an important and yet challenging task. The conventional methods usually identify human figures using image features inside the local regions. In this paper we present that, besides the local features, context cues in the neighborhood provide important constraints that are not yet well utilized. We propose a framework to incorporate the context constraints for detection...
Visual reranking has become a widely-accepted method to improve traditional text-based image search results. The main principle is to exploit the visual aggregation property of relevant images among top results so as to boost ranking scores of relevant images, by explicitly or implicitly detecting the confident relevant images, and propagating ranking scores among visually similar images. However,...
We present a video summarization approach for egocentric or “wearable” camera data. Given hours of video, the proposed method produces a compact storyboard summary of the camera wearer's day. In contrast to traditional keyframe selection techniques, the resulting summary focuses on the most important objects and people with which the camera wearer interacts. To accomplish this, we develop region cues...
Gap Completion is a key step in the process of linking of edges into contours towards generating meaningful boundaries. The likelihood of completing a gap between two edges has been approached either indirectly through studying optimal completion contours such as Elastica and Euler Spiral, or through the statistics of co-occurrence. These studies do not address the issue of finding appropriate candidates...
Ambient Intelligence (AmI) is a vision that refers to an information technology paradigm where a physical environment is ‘aware’ of its human occupants' presence/context and is sensitive, adaptive and responsive to their needs. Physical environments that are augmented with AmI are called Ambient Intelligent Environments (AIEs) which are deemed to be intelligent because the system should be able to...
While bottom-up and top-down processes have shown effectiveness during predicting attention and eye fixation maps on images, in this paper, inspired by the perceptual organization mechanism before attention selection, we propose to utilize figure-ground maps for the purpose. So as to take both pixel-wise and region-wise interactions into consideration when predicting label probabilities for each pixel,...
A driver assistance system realizes that the driver is distracted and that a potentially hazardous situation is emerging. Where should it guide the attention of the driver? Optimally to the spot that allows the driver to make the best decision. Pedestrian detectability has been proposed recently as a measure of the probability that a driver perceives pedestrians in an image [9]. Leveraging this information...
This paper focuses on providing an overview of the research challenges that have been identified toward the end of the S-Cube network in the area of service engineering. These challenges concern the need for agility and dynamicity of the development process for service-based applications, the importance of focusing on proper approaches to support migration of legacy application into service-based...
In these days, there are many news on stock market on the Internet and investors have to understand them immediately to invest in a stock market. In this study we determine sentimental polarities of the stock market news using a polarity dictionary, which consists of terms and their polarities. To achieve our aim we have to construct the polarity dictionary automatically because of decrease of human...
The integration of physical systems and processes with networked computing has led to the emergence of a new generation of engineered systems, called Cyber-Physical Systems (CPS). The resources in these systems are critical, because without them timely and dependable CPS services in different contexts cannot be provided. This in turn requires a formal resource model integrated within a CPS service...
We solve the problem of localizing and tracking household objects using a depth-camera sensor network. We design and implement Kin sight that tracks household objects indirectly -- by tracking human figures, and detecting and recognizing objects from human-object interactions. We devise two novel algorithms: (1) Depth Sweep -- that uses depth information to efficiently extract objects from an image,...
This work describes the automatic segmentation of 2-dimensional indoor maps into semantic units along lines of spatial function, such as connectivity or objects used for certain tasks. Using a conceptually simple and readily extensible energy maximization framework, segmentations similar to what a human might produce are demonstrated on several real-world datasets. In addition, it is shown how the...
Adaptability can be defined as the ability of a system to fit to changed circumstances. Adaptability is a property related to engineering as well as to the execution of networked service systems. This paper considers general issues of adaptation at two abstraction levels: 1) System of entities, terrain, functions and adaptability types, and 2) Architectures supporting adaptability. Adaptability types...
This paper describes the transfer of theories on prosocial behavior from Social Psychology to human-robot interaction (HRI) in terms of helpfulness shown by humans towards a robot. Theoretical foundations are given, and relevant influence factors for prosocial behavior are defined. The paper provides an overview on how these factors can be transferred to HRI and are implemented in two experimental...
What encourages people to refer to a robot as if it was a living being? Is it because of the robot's humanoid or animal-like shape, its movements or rather the kind of interaction it enables? We aim to investigate robots' characteristics that lead people to anthropomorphize it by comparing different kinds of robotic devices and contrasting it to an interactive technology. We addressed this question...
A conceptual framework is proposed to examine perceived structural constraints of elephant conservation centre and its' effects on participation in visiting activity. A brief discussion on elephant conservation effort is discussed in the earlier part of this paper. The paper then examines some attributes to perceive structural constraints with some effects are examined for participation and overall...
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