Affective computing has traditionally focused on modeling human reactions using multimodal sensor data, but not text.
Rosalind Picard, a co-author on the paper and professor at MIT who leads research in
affective computing, says that personalization is especially important in autism therapy: A famous adage is, "If you have met one person, with autism, you have met one person with autism."
I am therefore disappointed how conservative Hawking was in how he communicated, as I am not the only researcher in this emerging field of "
affective computing" who could have aided him in communicating through thought alone.
"Emotion AI systems and
affective computing are allowing everyday objects to detect, analyse, process and respond to people's emotional states and moods to provide better context and a more personalised experience," said Roberta Cozza, research director, Gartner.
"Emotion AI systems and
affective computing are allowing everyday objects to detect, analyze, process and respond to people's emotional states and moods to provide better context and a more personalized experience," said Roberta Cozza, research director at Gartner.
[25],
affective computing and sentiment analysis are key for the advancement of AI and all the research fields that stem from it.
Hudlicka, "
Affective computing for game design," in Proceedings of the 4th International North-American Conference on Intelligent Games and Simulation (Game-On NA '08), pp.
Wearable technology, as a type of
affective computing, is mainly used for activity recognition [2, 3] and feeling or affect detection [4, 5].
Silva, "EEG-based subject independent
affective computing models," Procedia Computer Science, vol.
I didn't think there was any systematic way of doing this until I came across the term '
affective computing.' Wikipedia defines it as 'the study and development of systems and devices that can recognize, interpret, process, and simulate human affects.' In short, it is the science for detecting different emotions.