A Three-Level Approach for Analyzing User Behavior in Ongoing Relationships

Peer-reviewedThis paper describes a hybrid methodology to study users in ongoing relationships based on three levels of user data analysis

L’apport de l’approche juridique pour l’étude des Acta Alexandrinorum : l’exemple des Acta Pauli et Antonini. Akten der Gesellschaft für Griechische und Hellenistische Rechtsgeschichte|Symposion 2017 Akten der Gesellschaft für griechische und hellenistische Rechtsgeschichte Band 27|

Les Acta Pauli et Antonini ont été la plupart du temps mal compris. Une analyse plus fine révèle pourtant que les Alexandrins, avec Antonin à leur tête, contrevinrent à la lex Iulia de vi, et furent condamnés au terme d’un processus respectant le droit. Ces événements s’inscrivent par ailleurs dans une situation d’instabilité plus générale en Égypte qui aboutirait à la réorganisation de la juridiction préfectorale et à une restriction des appels auprès du tribunal impérial afin de répondre plus rapidement à une situation d’État d’urgence

User study techniques in the design and evaluation of a ubicomp environment

Abstract. To be successful, ubicomp applications must be designed with their environment and users in mind and evaluated to confirm that they do not disrupt the users ’ natural workflow. Well-established techniques for understanding users and their environment exist, but are not specifically designed to assess how well the computing and physical task environments blend. We present strengths and weaknesses of several qualitative and quantitative user study techniques for ubicomp. We applied these techniques to the design and evaluation of a ubicomp application for cell biology laboratories (Labscape). We describe how these techniques helped identify design considerations that were crucial for Labscape’s adoption and demonstrate their ability to measure how effectively applications blend into an environment.

Creating User Profiles from a Command-Line Interface: A Statistical Approach

Proceeding of: 17th International Conference on User Modeling, Adaptation, and Personalization (UMAP), Trento, Italy, June 22-26 2009.Knowledge about computer users is very beneficial for assisting them, predicting their future actions or detecting masqueraders. In this paper, an approach for creating and recognizing automatically the behavior profile of a user from the commands (s)he types in a commandline interface, is presented. Specifically, in this research, a computer user behavior is represented as a sequence of UNIX commands. This sequence is transformed into a distribution of relevant subsequences in order to find out a profile that defines its behavior. Then, statistical methods are used for recognizing a user from the commands (s)he types. The experiment results, using 2 different sources of UNIX command data, show that a system based on our approach can efficiently recognize a UNIX user. In addition, a comparison with a HMM-base method is done. Because a user profile usually changes constantly, we also propose a method to keep up to date the created profiles using an age-based mechanism.Publicad