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- Towards emotional interaction: using movies to automatically learn users’ emotional statesPublication . Oliveira, Eva; Benovoy, Mitchel; Ribeiro, Nuno; Chambel, TeresaThe HCI community is actively seeking novel methodologies to gain insight into the user's experience during interaction with both the application and the content. We propose an emotional recognition engine capable of automatically recognizing a set of human emotional states using psychophysiological measures of the autonomous nervous system, including galvanic skin response, respiration, and heart rate. A novel pattern recognition system, based on discriminant analysis and support vector machine classifiers is trained using movies' scenes selected to induce emotions ranging from the positive to the negative valence dimension, including happiness, anger, disgust, sadness, and fear. In this paper we introduce an emotion recognition system and evaluate its accuracy by presenting the results of an experiment conducted with three physiologic sensors.
- Accessing movies' emotional informationPublication . Oliveira, Eva; Ribeiro, Nuno Magalhães; Chambel, TeresaEmotional information is being used in several systems as a way to understand users while interacting with computers or as a way to explore content classification. Movies are a medium emotionally empowered and technological developments and trends for media convergence are turning video into a dominant and pervasive medium, and online video is becoming a growing entertainment activity on the web. In this paper we present a user interface for movies' emotion exploration based on a previous usability study. Felt - is an application for movie and users' emotions exploration as a way to access movies by its emotional properties or as a way of recommending movies by the analysis of users emotional profiles. In this paper we also propose novel interactive mechanisms for movie's emotions exploration.
- Sharing Video Emotional Information in the WebPublication . Oliveira, Eva; Chambel, Teresa; Ribeiro, Nuno MagalhãesVideo growth over the Internet changed the way users search, browse and view video content. Watching movies over the Internet is increasing and becoming a pastime. The possibility of streaming Internet content to TV, advances in video compression techniques and video streaming have turned this recent modality of watching movies easy and doable. Web portals as a worldwide mean of multimedia data access need to have their contents properly classified in order to meet users’ needs and expectations. The authors propose a set of semantic descriptors based on both user physiological signals, captured while watching videos, and on video low-level features extraction. These XML based descriptors contribute to the creation of automatic affective meta-information that will not only enhance a web-based video recommendation system based in emotional information, but also enhance search and retrieval of videos affective content from both users’ personal classifications and content classifications in the context of a web portal.