User modeling

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

Remote authorization for unlocking electronic data system and method

Abstract: Controlling unauthorized access to software distributed to a user by a vendor. A verification key is generated by a product key generator and either embedded in the software prior to distribution or packaged with the software as a self-installing package. The verification key includes a public verification key. The combination of the software and the verification key create distributable software which is distributed to a user. The user installs the software on a user computer system as protected software. To obtain a user key, the user inputs identifying information, which may be for the user or for a group, which is sent to a user key generator. The user key generator converts the identifying information to a numeric representation and then generates, by signing the numeric representation with the private signing key, a user key, which is returned to the user. Using the verification key, a user key verifier verifies a relationship between the user key and the identifying information to determine an access level to the protected software. The system verifies the relationship between the user key and the identifying information every time the software is run to ensure continued protection of the software after installation.

Existing but not explicit - The user perspective in scrum projects in practice

Abstract: Agile software development processes are becoming more common, but this does not mean that the user perspective in the development is catered for. It has its challenges to integrate the users’ aspects in Scrum projects in practice. In order to better understand these challenges we have interviewed IT professionals using Scrum focusing on four different areas: responsibility for the user perspective, emphasis on usability and user experience through documentation, usability activities with users and the organisational and contextual settings for emphasizing the user perspective. Results show that the responsibility for the user perspective is unclear in Scrum projects, and that often the user perspective is neither discussed nor described in the projects. However, the user perspective is often present through informal feedback used to understand the context of use and inform design for example. Finally the paper presents implications for working with the user perspective in Scrum projects.

User Modeling and User Profiling in Adaptive E-learning Systems

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Design and evaluation of an adaptive icon toolbar

Abstract: As information systems become increasingly important in many different domains, the potential to adapt them to individual users and their needs also becomes more important. Adaptive user interfaces offer many possible ways to adjust displays and improve procedures for a user's individual patterns of work. This paper describes an attempt to design an adaptive user interface in a computer environment familiar to many users. According to one classification of adaptive user interfaces, the adaptive bar described in this paper would be classified as a user-controlled self-adaptation system.

Tune in to your emotions: a robust personalized affective music player

Abstract: The emotional power of music is exploited in a personalized affective music player (AMP) that selects music for mood enhancement. A biosignal approach is used to measure listeners' personal emotional reactions to their own music as input for affective user models. Regression and kernel density estimation are applied to model the physiological changes the music elicits. Using these models, personalized music selections based on an affective goal state can be made. The AMP was validated in real-world trials over the course of several weeks. Results show that our models can cope with noisy situations and handle large inter-individual differences in the music domain. The AMP augments music listening where its techniques enable automated affect guidance. Our approach provides valuable insights for affective computing and user modeling, for which the AMP is a suitable carrier application.