Emotions play a key role in our lives, being a fundamental aspect in our cognitive processes, not only on human creativity and intelligence, but also in rational human thinking and decision-making. As a result, interesting new creative applications was envisaged, with creativity being eased by personalized interactions based on adaptation of information to emotional aspects and user goals. The c-Space affective computing API consents to detect and convey emotions to users, among other features, from images captured by the front-facing camera available within most smartphones and tables.
In planning a trip, often there is an assumption that tourists’ preferences for activities depend on static attributes of the person and choice alternatives. This stands in contrast to a central notion of need-based theories of choice behavior which state that individuals’ motivations to engage in certain activities are at least partly dependent on needs that change depending on previous activities. Our recommendation application takes into account tourists’ experiences at a destination, in real time, as well as the personalization of each suggested cultural program (tour) in a “smart” way, from the perspective of both the cultural and the overall experience of taking it.
The c-Space 4D reconstruction framework aims at filling a gap not yet covered by any technology on the market: the reconstruction of a 4D-scene (physical events) from heterogeneous inputs, including high-quality video from professional video cameras, still images captured with digital photo cameras, and video sequences recorded from smart phones. Our reconstruction framework can archive full reconstructions within hours, and directly from your mobile phone.
Previous applications on the field of virtual heritage have focused on recreating tangible cultural heritage by making realistic 3D models depicting them. These models could either be a direct recreation of a specific cultural heritage entity or a representation of how an entity may have appeared in the past. The limitation of these systems is that they offer very limited ways of interacting with digital content, e.g. use of spatial navigation to tour through a virtual environment. c-Space gives users the possibility to create their individual augmented experiences; from the phase of content creation to content interaction.
Our web recommendation service takes into account tourists’ experiences at a destination, Trento, as well as the personalization of each suggested cultural program (tour) in a “smart” way, from the perspective of both the cultural and the overall experience of taking it. You can try our web version HERE
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