Topic
User modeling
About: User modeling is a research topic. Over the lifetime, 10701 publications have been published within this topic receiving 278012 citations.
Papers published on a yearly basis
Papers
More filters
••
30 Aug 2005
TL;DR: This paper presents the analysis performed on the www.lne.es video-on-demand service (LNE TV), which is part of the digital version of one of the most important newspapers in Spain, and points out interesting results about length dependence, interactions appearing, popularity of the videos, etc., which are compared with the results obtained in previous works.
Abstract: This paper presents the analysis performed on the www.lne.es video-on-demand service (LNE TV), which is part of the digital version of one of the most important newspapers in Spain. Its principal special characteristic is the wide range of subjects (news, music, culture, tourism, nature, sports, etc) and lengths of the offered contents (from 2 minutes to 2 hours), which make it an interesting case study. Elements about user behavior have been analyzed such as session analysis; delivered time, pause distribution, jumps length, etc. The study points out interesting results about length dependence, interactions appearing, popularity of the videos, etc., which are compared with the results obtained in previous works, generally developed on educational environments (services or users). A behavior user model has been performed using the results of the analyses. This model is oriented to services with different types of information and lengths for the videos. This study has been performed thanks to an access log database with more than 150,000 requests of almost 900 videos stored over a period of 4 years. The conclusions of the study are essential to improve the service configuration and content selection. Moreover, they can be used to develop service models for video-on-demand services, which can help administrators to predict future situations and avoid performance problems.
68 citations
•
12 Jun 2013
TL;DR: In this paper, a near-eye, see-through display device with a handle extending away from the user interface symbol is described. And the handle may serve as a type of selection device such that if the user directs their attention along the handle, away from user interface symbols, a selection can be made, and the system determines the user is looking along the spoke away from a central hub.
Abstract: A user input for a near-eye, see-through display device is disclosed. Hands-free user input in an augmented reality environment is provided for. A user can provide input by moving the orientation of their head. For example, the user could rotate their head. In one aspect, a user can provide input by moving their eye gaze along a direction. In one aspect, when the user directs their attention at a user interface symbol, a handle extends away from the user interface symbol. The handle may serve as a type of selection device such that if the user directs their attention along the handle, away from the user interface symbol, a selection can be made. “As one example, the selection causes a spoke menu to appear which the user can select by rotating their head such that the system determines the user is looking along the spoke away from a central hub.
68 citations
•
08 Oct 2004TL;DR: In this paper, a user information store is defined as a unified store that is accessible by multiple programs including the operating system, and new information or information changes can be made available to multiple programs by the user adding (or changing) the information only once.
Abstract: Software programs, such as an operating system or other application programs, are automatically customized to a specific user(s) based on data corresponding to the specific user(s) that is maintained in a user information store. In one embodiment, the information store is a unified store that is accessible by multiple programs including the operating system. Thus, new information or information changes can be made available to multiple programs by the user adding (or changing) the information only once. In another embodiment, the operating system image to be installed on a computer is pre-populated with user-specific information at the factory. The user-specific information can be integrated into the operating system at the factory or alternatively upon an initial boot of the computer by the user.
68 citations
••
01 Jun 1992
TL;DR: A knowledge-based tool is presented, containing design knowledge drawn from general guideline documents and toolkit-specific style guides, capable of evaluating a user interface design produced in a UIMS, showing that part of what the designers consider relevant design knowledge is related to the user's tasks and thus cannot be applied to the static design representation of the UIMs.
Abstract: The motivation for our work is that even though user interface guidelines and style guides contain much useful knowledge, they are hard for user interface designers to use. We want to investigate ways of bringing the human factors knowledge closer to the design process, thus making it more accesible to designers. To this end, we present a knowledge-based tool, containing design knowledge drawn from general guideline documents and toolkit-specific style guides, capable of evaluating a user interface design produced in a UIMS. Our assessment shows that part of what the designers consider relevant design knowledge is related to the user's tasks and thus cannot be applied to the static design representation of the UIMS. The final section of the paper discusses ways of using this task-related knowledge.
68 citations
••
01 Jul 2011TL;DR: Some of the implications of ontology-based user modeling for semantically enhanced KM and, in particular, for personal KM are discussed.
Abstract: This paper focuses on the role of user modeling and semantically enhanced representations for personalization. This paper presents a generic Ontology-based User Modeling framework (OntobUMf), its components, and its associated user modeling processes. This framework models the behavior of the users and classifies its users according to their behavior. The user ontology is the backbone of OntobUMf and has been designed according to the Information Management System Learning Information Package (IMS LIP). The user ontology includes a Behavior concept that extends IMS LIP specification and defines characteristics of the users interacting with the system. Concrete examples of how OntobUMf is used in the context of a Knowledge Management (KM) System are provided. This paper discusses some of the implications of ontology-based user modeling for semantically enhanced KM and, in particular, for personal KM. The results of this research may contribute to the development of other frameworks for modeling user behavior, other semantically enhanced user modeling frameworks, or other semantically enhanced information systems.
68 citations