Browsing by Author "Bajo, Javier"
Now showing 1 - 7 of 7
Results Per Page
Sort Options
- D7.3 Proceedings of the Second DREAM-GO Workshop: Real-Time Demand Response and Intelligent Direct Load ControlPublication . Vale, Zita; Khorram Ghahfarrokhi, Mahsa; Faria, Pedro; Spínola, João; Canizes, Bruno; Pinto, Tiago; Soares, João; Chamoso, Pablo; Santos, Daniel; Garcia, Oscar; Catalina, Jorge; Guevarra, Fabio; Navarro-Cáceres, María; Gazafroudi, Amin Shokri; Prieto-Castrillo, Francisco; Corchado, Juan Manuel; Santos, Gabriel; Teixeira, Brígida; Praça, Isabel; Sousa, Filipe; Zawislak, Krzysztof; Iglesia, Daniel Hernández de la; Barriuso, Alberto Lopez; Lozano, Alvaro; Herrero, Jorge Revuelta; Landeck, Jorge; Paz, Juan F. de; Corchado, Juan M.; Garcia, Ruben Martin; González, Gabriel Villarrubia; Bajo, Javier; Matos, Luisa; Klein, L. Pires; Carreira, R.; Torres, I.; Landeck, JorgeProceedings of the Second DREAM-GO Workshop Real-Time Demand Response and Intelligent Direct Load Control
- Detection of Behavioral Patterns for Increasing Attentiveness LevelPublication . Durães, Dalila; Gonçalves, Sérgio; Carneiro, Davide; Bajo, Javier; Novais, Paulo
- Modelling a smart environment for nonintrusive analysis of attention in the workplacePublication . Durães, Dalila; Carneiro, Davide; Bajo, Javier; Novais, Paulo
- Quantifying Attention in Computer-based TasksPublication . Carneiro, Davide; Durães, Dalila; Bajo, Javier; Novais, Paulo
- Supervising and Improving Attentiveness in Human Computer InteractionPublication . Durães, Dalila; Carneiro, Davide; Bajo, Javier; Novais, PauloThe collection, storage, management, and anticipation of contextual information about the user to support decision-making constitute some of the key operations in most Ambient Intelligent (AmI) systems. When the instructor has a computer-based class it is often difficult to confirm if the students are working in the proposed activities. In order to mitigate problems that might occur in an environment with learning technologies we suggest an AmI system aimed at capturing, measuring, and supervising the students’ level of attentiveness in real scenarios and dynamically provide recommendations to the instructor. With this system it is possible to assess both individual and group attention, in real-time, providing a measure of the level of engagement of each student in the proposed activities and allowing the instructor to better steer teaching methodologies.
- Supervising and Improving Attentiveness in Human Computer InteractionPublication . Durães, Dalila; Carneiro, Davide; Bajo, Javier; Novais, Paulo
- Using Computer Peripheral Devices to Measure AttentivenessPublication . Durães, Dalila; Carneiro, Davide; Bajo, Javier; Novais, Paulo