This paper describes an approach to exploit the implicit user feedback gathered during interactive video retrieval tasks. We propose a framework, where the video is first indexed according to temporal, textual, and visual features and then implicit user feedback analysis is realized using a graph-based methodology. The generated graph encodes the semantic relations between video segments based ...

The task of information ltering is to classify documents from a stream into either relevant or irrelevant according to a particular user interest with the objective to reduce information load. When using an information lter in an environment that is changing as time proceeds, methods for adapting the lter should be considered in order to retain the desired accuracy in classiication. We favor a ...

Relevance feedback is an important mechanism for narrowing the semantic gap in content-based image retrieval and the process involves the user labeling positive and negative images. Very often, it is some specific objects or regions in the positive feedback images that the user is really interested in rather than the entire image. This paper presents a hierarchical graphical model for automatic...

Debugging parallel/distributed programs is an iterative process, alternating between correctness debugging and performance debugging. Performance debugging involves identifying bottlenecks in a parallel computation and providing meaningful feedback to the user. The quality of this feedback can play a major role in the quick resolution of performance problems. Many feedback systems provide the u...

In this paper we explore different techniques that allow the user to direct interactive evolutionary search. Broadening interaction beyond simple evaluation increases the amount of feedback and bias a user can apply to the search. Increased feedback will have the effect of directing the algorithm to more fruitful areas of the search space. This paper examines whether additional feedback from th...

This paper describes an experiment and its results concerning research that has been going on for a number of years in the area of anthropomorphic user interface feedback. The main aims of the research have been to examine the effectiveness and user satisfaction of anthropomorphic feedback in various domains. The results are of use to all interactive systems designers, particularly when dealing...

Tangible user interfaces (TUIs) have been the focus of much attention recently in the HCI and learning communities. Although TUIs seem to intuitively offer potential to increase the learning experience, there have been questions about whether they actually impact learning positively. TUIs offer new ways of interactions and it is essential to understand how the design choices made for these new ...

INFIR (Interactive Fingerprint Recognition) is an interactive fingerprint recognition and visualization tool. The tool is designed to cope with the problems related to automated and manual methods of matching. Interactive techniques involving automated fingerprint recognition can be used along with human intervention. The users of the system can visually monitor the process of recognition. Addi...

Recommendation, collaboration and other tasks play important role on the adaptive web. For such tasks, user feedback is needed. Explicit feedback interrupts user and obtaining quality explicit feedback is problematic. On the other hand, users provide implicit feedback uninterrupted without knowing that they are rating. Traditional implicit feedback on the web – tracking of mouse and keyboard in...

In this paper we report on an eye-tracking experiment conducted with 60 participants to gain an understanding of how people interact with blog environments. We compared a standard blog interface with a novel contextual blog interface, which dynamically adjusts its contextual navigation to a selected article. We measured task performance and interaction behaviour for explorative tasks and goal-o...