http://dl.gi.de/handle/20.500.12116/5011 2026-07-23T03:51:45Z 2026-07-23T03:51:45Z Basselin, Nathalie Kröner, Alexander http://dl.gi.de/handle/20.500.12116/5033 2017-11-15T14:59:46Z 2006-01-01T00:00:00Z

From Personal Memories to Sharable Memories Basselin, Nathalie; Kröner, Alexander The exchange of personal experiences is a way of supporting decision making and interpersonal communication. In this article, we discuss how augmented personal memories could be exploited in order to support such a sharing. We start with a brief summary of a system implementing an augmented memory for a single user. Then, we exploit results from interviews to define an example scenario involving sharable memories. This scenario serves as background for a discussion of various questions related to sharing memories – and potential approaches to their solution. We especially focus on selection of relevant experiences and sharing partners, sharing methods, and the configuration of those sharing methods by means of reflection.

2006-01-01T00:00:00Z Cocea, Mihaela http://dl.gi.de/handle/20.500.12116/5032 2017-11-15T14:59:46Z 2006-01-01T00:00:00Z

Can Log Files Analysis Estimate Learner’s Level of Motivation? Cocea, Mihaela The learners’ motivation has an impact on the quality of learning, especially in e-Learning environments. Most of these environments store data about the learner’s actions in log files. Logging the users’ interactions in educational systems gives the possibility to track their actions at a refined level of detail. Data mining and machine learning techniques can “give meaning” to these data and provide valuable information for learning improvement. An area where improvement is absolutely necessary and of great importance is motivation known to be an essential factor for preventing attrition in e-Learning. In this paper we investigate if the log files data analysis can be used to estimate the motivational level of the learner. A decision tree is build from a limited number of log files. The results suggest that time spent reading is an important factor for predicting motivation; also, performance in tests was found to be a relevant indicator of the motivational level.

2006-01-01T00:00:00Z Aghasaryan, Armen Betgé-Brezetz, Stéphane http://dl.gi.de/handle/20.500.12116/5034 2017-11-15T14:59:46Z 2006-01-01T00:00:00Z

User and Usage Profiling in a Multi-platform Service Environment Aghasaryan, Armen; Betgé-Brezetz, Stéphane In this paper, we present a beginning work on a behavioural profiling approach within a multi- service environment where the service usage and content consumptions data are collected on different service delivery platforms and/or on the user terminals. Therefore, it is necessary to be able to aggregate these potentially heterogeneous data so that a faithful user profile can be induced. The information structure used for profile data representation must be designed in a way to allow its utilization by a number of real-time multi-media personalized applications.

2006-01-01T00:00:00Z Abel, Fabian Brunkhorst, Ingo Henze, Nicola Krause, Daniel Mushtaq, K. Nasirifard, P. Tomaschewski, Kai http://dl.gi.de/handle/20.500.12116/5035 2017-11-15T14:59:46Z 2006-01-01T00:00:00Z

Personal Reader Agent: Personalized Access to Configurable Web Services Abel, Fabian; Brunkhorst, Ingo; Henze, Nicola; Krause, Daniel; Mushtaq, K.; Nasirifard, P.; Tomaschewski, Kai The Personal Reader Framework enables the design, realization and maintenance of personalized Web Content Reader. In this architecture personalized access to web content is realized by various Web Services - we call them Personalization Services. With our new approach of Configurable Web Services we allow users to configure these Personalization Services. Such configurations can be stored and reused at a later time. The interface between Users and Configurable Web Services is realized in a Personal Reader Agent. This Agent allows selection, configuration and calling of the Web Services and further provides personalization functionalities like reuse of stored configurations which suit to the users interests.

2006-01-01T00:00:00Z