Daniel Richter / Michael Bartl

Affective Computing Applied to a Recipe Recommendation System

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Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. The aim is to allow machines or connected systems to interpret the emotional state of humans and adapt their behavior according to those states, giving an appropriate response for the given emotions ( 1997). Within the Gartner Hype Cycle, this research field is anchored in the early stage called »Innovation Trigger« where the expectations regarding the technology start to rise rapidly ( 2015).