The study of multimodality is comparatively less developed for Affective interfaces than for their traditional counterparts. However, one condition for the successful development of Affective interface technologies is the development of frameworks for the real-time multimodal fusion. In this paper, we describe an approach to multimodal affective fusion, which relies on a dimensional model, PleasureArousal-Dominance (PAD) to support the fusion of affective modalities, each input modality being represented as a PAD vector. We describe how this model supports both affective content fusion and temporal fusion within a unified approach. We report results from early user studies which confirm the existence of a correlation between measured affective input and user temperament scores.
The development of Affective Interface technologies makes it possible to envision a new generation of Digital Arts and Entertainment applications, in which interaction will be based directly on the analysis of user experience. In this paper, we describe an approach to the development of Multimodal Affective Interfaces that supports real-time analysis of user experience as part of an Augmented Reality Art installation. The system relies on a PAD dimensional model of emotion to support the fusion of affective modalities, each input modality being represented as a PAD vector. A further advantage of the PAD model is that it can support a representation of affective responses that relate to aesthetic impressions.
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