To gain access to account privileges, an intruder masquerades as the proper account user. Information from user feedback helps to improve the accuracy of classifiers used for detecting masquerades. Instead of operating in isolation, the online sequential classifier can request feedback from the user. In the full-feedback policy, the classifier verifies every session; in the feedback-on-alarm po...

Examines the use of query reformulation, and particularly the use of relevance feedback by users of the Excite Web search engine. A total of 985 user search sessions from a data set of 18,113 user search sessions containing 51,473 queries were examined. Includes a qualitative and quantitative analysis of 191 user sessions including more than one query, to examine patterns of user query reformul...

Two experiments were carried out to estimate the effect of sound feedback: (1) operating an assembly line simulator (Experiment-A with sound feedback of hidden events), and (2) queries in database search (Experiment-B with sound feedback of the search result quality). ExperimentA: Relevant information of hidden events (e.g., disturbances and machine break downs) was given only in a visual, and ...

Our research is focused on interpreting user preference from his/her implicit behavior. There are many types of relevant behavior e.g. time on page, scrolling, clickstream etc. which we will further denote as Relevant Behavior Types (RBT). RBT s varies both in quality and incidence and thus we might need different approaches to process them. In this early work we focus on how to derive user pre...

The Interactive Discourse Planner (IDP) plans text to justify and describe domain plans interactively. A speaker uses plan justification to have a listener adopt a recommended plan; he uses plan description to enable a listener to execute a plan. The text plan that IDP formulates and executes incrementally is represented uniformly in the same knowledge base with the domain plans that are under ...

We propose a collaborative filtering (CF) recommendation framework which is based on viewing user feedback on products as ordinal, rather than the more common numerical view. Such an ordinal view frequently provides a more natural reflection of the user intention when providing qualitative ratings, allowing users to have different internal scoring scales. Moreover, we can address scenarios wher...

Nowadays, powerful music compression tools and cheap mass storage devices have become widely available. This allows average consumers to transfer entire music collections from the distribution medium, such as CDs and DVDs, to their computer hard drive. To locate specific pieces of music, they are usually labeled with artist and title. Yet the user would benefit from a more intuitive organizatio...

Virtual Reality (VR) has been proven to be capable of enabling its users to experience immersive virtual environments and interact with the computer. Most VR applications utilize stereo visual perception, however, stereo visual perception alone is not enough to fully immerse users in VR environments. Haptic feedback technology when applied to VR applications can offer improved immersion and int...

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...

Many applications need to access multiple heterogeneous data sources. The integration of these data sources raises several semantic heterogeneity problems. In existing systems, it is difficult to provide the high quality result to the end users due to the heterogeneity, inaccuracy of the facts in data sources. This paper is proposed to resolve semantic heterogeneity problem in integration by us...