Abstract
There is currently a significant interest in consumer electronics in applications and devices that monitor and improve the user’s well-being. This is one of the key aspects in the development of ambient intelligence systems. Nonetheless, existing approaches are generally based on physiological sensors, which are intrusive and cannot be realistically used, especially in ambient intelligence in which the transparency, pervasiveness and sensitivity are paramount. We put forward a new approach to the problem in which user behavioral cues are used as an input to assess inner state. This innovative approach has been validated by research in the last years and has characteristics that may enable the development of true unobtrusive, pervasive and sensitive ambient intelligent systems.
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The web site of CrowdSignals.io is available at http://crowdsignals.io/ \(<\)accessed in December, 2015\(>\).
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Acknowledgments
This work has been supported by FCT -Fundação para a Ciência e Tecnologia within the Project Scope UID/CEC/00319/2013. The work of Davide Carneiro is supported by a Doctoral Grant by FCT (SFRH/BPD/ 109070/2015).
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Novais, P., Carneiro, D. The role of non-intrusive approaches in the development of people-aware systems. Prog Artif Intell 5, 215–220 (2016). https://doi.org/10.1007/s13748-016-0085-1
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DOI: https://doi.org/10.1007/s13748-016-0085-1