User modeling

About: User modeling is a research topic. Over the lifetime, 10701 publications have been published within this topic receiving 278012 citations.

A Context-Sensitive Nomadic Exhibition Guide

Abstract: The paper describes a nomadic guide that considers the context of use (CoU) for information selection and presentation. A nomadic system is defined by continuous access to information spaces independent from specific devices. The CoU is defined by the location and characteristics of the user. Interests of the user deduced from the navigation in the physical and information space are the main goal of information adaptation in the paper. A prototype of a nomadic system that adapts the information to the user needs is presented.

Adaptive, intelligent presentation of information for the museum visitor in PEACH

Abstract: The study of intelligent user interfaces and user modeling and adaptation is well suited for augmenting educational visits to museums. We have defined a novel integrated framework for museum visits and claim that such a framework is essential in such a vast domain that inherently implies complex interactivity. We found that it requires a significant investment in software and hardware infrastructure, design and implementation of intelligent interfaces, and a systematic and iterative evaluation of the design and functionality of user interfaces, involving actual visitors at every stage. We defined and built a suite of interactive and user-adaptive technologies for museum visitors, which was then evaluated at the Buonconsiglio Castle in Trento, Italy: (1) animated agents that help motivate visitors and focus their attention when necessary, (2) automatically generated, adaptive video documentaries on mobile devices, and (3) automatically generated post-visit summaries that reflect the individual interests of visitors as determined by their behavior and choices during their visit. These components are supported by underlying user modeling and inference mechanisms that allow for adaptivity and personalization. Novel software infrastructure allows for agent connectivity and fusion of multiple positioning data streams in the museum space. We conducted several experiments, focusing on various aspects of PEACH. In one, conducted with 110 visitors, we found evidence that even older users are comfortable interacting with a major component of the system.

Personalization and Context Management

Abstract: Supporting the individual user in his working, learning, or information access is one of the main goals of user modeling. Personal or group user models make it possible to represent and use information about preferences, knowledge, abilities, emotional states, and many other characteristics of a user to adapt the user experience and support. Nowadays, the disappearing computer enables the user to access her information from a variety of personal and public displays and devices. To support a new generation of contextualized and personalized information and services, this paper addresses the problem of context management. Context management is a new approach to the design of context-aware systems in ubiquitous computing that combines personalization and contextualization. The presented framework for context management integrates user modeling and context modeling, which can benefit from each other and give rise to more valid models for personalized and contextualized information delivery. The paper will introduce a base framework and tools for designing context-aware applications and decompose the underlying framework into its foundational components. As two illustrative application cases, the paper discusses implementations of an intelligent advertisement board and an audio-augmented museum environment.

Method and system for relationship management and intelligent agent

Abstract: The present invention provides computer-based systems and methods directed to maintaining a database of user profiles based, respectively, on user interaction with third-party systems. The invention includes the processes of: accessing a unique user profile associated with a unique user; automatically collecting, by an agent module executing on a processor associated with a first system, data associated with the unique user based at least in part on the unique user's interaction with a system unassociated with the first system; evaluating by the processor the collected data and searching available databases to identify potential items of interest to the unique user based at least in part on the unique user profile and the collected data; determining a set of predicted items of interest to the unique user from the identified potential items of interest; and presenting at a display associated with the unique user data representing the set of predicted items of interest. In one implementation, the invention provides an intelligent agent possessing a level of “awareness” concerning individual users associated with user profiles or accounts and is adapted to access private and public databases, websites, resources, and other systems to efficiently collect, filter and deliver/present content and resources of interest to the individual user in a predictive fashion.