Research in retailing suggests that atmospherics influence store image and and Weitz, 1995), with recent empirical results suggesting that cues in the store environment contribute to customers’ percepexpectations of service and merchandise (Baker, Grewal, and Parasuraman: The Influence of Store Environment on Quality Inferences and Store tions of merchandise and service quality (Baker, Grewal, ...

A reusable agent-based generic model is presented for a specific class of Ambient Intelligence applications: those cases addressing human wellbeing and functioning from a human-like understanding. The model incorporates ontologies, knowledge and dynamic models from human-directed sciences such as psychology, social science, neuroscience and biomedical sciences. The model has been formally speci...

The ambient networking approach includes the flexibility of every end system to be not just a node but also an entire network. The end user entities are, in the majority of use cases, mobile and they operate in a highly dynamic environment. The exponential growth of wireless devices and services contributes to the increasing number of these dynamic mobile networks, whose changeable characterist...

Earlier psychoanalytic thinkers, with their humanistic orientations, anticipated Heinz Kohut's theories and, therefore, contributed to the historical evolution of self psychology. Carl Rogers, a founder of humanistic psychology in the United States, was a theorist who struggled with many of the same issues as Kohut. Rogers had new ways of looking at therapy, and especially at the therapeutic am...

By Michael Williams and Guillaume Le Dû 2 1 Independent Audio Consultant, Paris, France 2 – Radio France, Paris, France ing perfect reproduction of the sound environment. We must also be able to use this type of sound recording system in the recording of contemporary music which will often make use of the surrounding sound space, and of course sound effects and ambience where sound should be lo...

A supervised learning approach to ambience extraction from onechannel audio signals is presented. The extracted ambient signals are applied for the blind upmixing of musical audio recordings to surround sound formats. The input signal is processed by means of short-term spectral attenuation. The spectral weights are computed using a low-level feature extraction process and a neural network regr...