This work presents the visual user interface of the On-TIME system, a task-centered information management system, whose aim is to actively participate to and support the user tasks. One of the key challenges that needs to be addressed for the success of On-TIME, is the design of a user friendly interface. Being On-TIME based on the use of a so-called Personal Ontology to provide a semantic acc...

Microblogging environments such as Twitter present a modality for interacting with information characterized by exposure to information “streams”. In this work, we examine what information in that stream is attended to, and how that attention corresponds to other aspects of microblog consumption and participation. To do this, we measured eye gaze, memory for content, interest ratings, and inten...

Within the scope of service robotics a natural and adaptive dialog is getting more and more important to offer intuitive interaction for users not familiar with the system. Therefore, service robots have to be aware of the person’s mood and visual attention. Furthermore, robotic systems should be able to recognize simple head gestures like head shaking or nodding as these gestures are a natural...

In user interface development, it is essential to find the balance between grasping and, subsequently, holding attention and providing an optimal information density both in the center and periphery of focus, refraining from information overload [2,7]. This process is like balancing on a thin line: the exact amount and optimal manner of information presentation are crucial [6]. In this paper, w...

In the future, it is expected that robots will act as our companions by taking some load off our minds and making our lives more efficient and easy. One of their functions would be to provide assistance to people such as giving reminders for medicines, appointments, weather forecast, etc. To initiate communication, these robots would first need to attract a person’s attention by performing some...

In this paper, a content dependent visible watermarking scheme for video is proposed. By using the focus detection framework developed in [10], we calculate the unsuitability contrary to the focus region that catches user’s attention the most and embed a visible watermark to the region with the highest unsuitability. A scaling coefficient is also calculated according to local properties of the ...

Analysis of user attention and Web page examination behavior, collected with specialized eye tracking equipment, has offered numerous insights about how online users examine content of the Web pages and remains a valuable tool for Web researchers and developers. Unfortunately, eye tracking technology is currently available for relatively small scale user studies, due to its high costs and the e...

Document-level sentiment classification aims to predict user’s overall sentiment in a document about a product. However, most of existing methods only focus on local text information and ignore the global user preference and product characteristics. Even though some works take such information into account, they usually suffer from high model complexity and only consider wordlevel preference ra...

In this paper, a generic user-attention based focus detection framework is developed to capture user focus points for video frames. The proposed framework considers both bottom-up and top-down attentions, and integrates both image-based and video-based visual features for saliency map computation. For efficiency purpose, the number of adopted features is kept as few as possible. The realized fr...

this paper presents a theoretical model in which the stock growth rate of durable goods has stochastic fluctuation over time. it concludes that a social planner increases the expected percentage rate of production since uncertainty increases the user cost from consumer’s point view.