Catálogo de publicaciones - libros
User Modeling 2007: 11th International Conference, UM 2007, Corfu, Greece, July 25-29, 2007. Proceedings
Cristina Conati ; Kathleen McCoy ; Georgios Paliouras (eds.)
En conferencia: 11º International Conference on User Modeling (UM) . Corfu, Greece . July 25, 2007 - July 29, 2007
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
Artificial Intelligence (incl. Robotics); User Interfaces and Human Computer Interaction; Information Systems Applications (incl. Internet); Simulation and Modeling; Computers and Society; Computer Appl. in Social and Behavioral Sciences
Disponibilidad
| Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | 2007 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-540-73077-4
ISBN electrónico
978-3-540-73078-1
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2007
Información sobre derechos de publicación
© Springer-Verlag Berlin Heidelberg 2007
Tabla de contenidos
Experience Medium: Toward a New Medium for Exchanging Experiences
Yasuyuki Sumi
In this talk, I will propose a notion of “experience medium” in which we can exchange our experiences in museum touring, daily meetings, collaborative work, etc. The experience medium is a medium for capturing, interpreting, and creating our experiences, i.e., not only verbalized representations of our experiences but also their contextual information (awareness, common sense, atmosphere).
- Invited Papers | Pp. 3-4
A Practical Activity Capture Framework for Personal, Lifetime User Modeling
Max Van Kleek; Howard E. Shrobe
This paper addresses the problem of capturing rich, long-term of users’ interactions with their workstations, for the purpose of deriving predictive, personal user models. Our architecture addresses a number of practical problems with activity capture, including incorporating heterogeneous information from different applications, measuring phenomena with different rates of change, efficiently scheduling knowledge sources, incrementally evolving knowledge representations, and incorporating prior knowledge to combine low-level observations into interpretations better suited for user modeling tasks. We demonstrate that the computational and memory demands of general activity capture are well within reasonable limits even on today’s hardware and software platforms.
- Poster Papers | Pp. 298-302