Affective Computing and the Impact of Gender and Age

• Published in: PloS one Vol. 11; no. 3; p. e0150584
• Main Authors: Rukavina, Stefanie, Gruss, Sascha, Hoffmann, Holger, Tan, Jun-Wen, Walter, Steffen, Traue, Harald C.
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 03.03.2016; Public Library of Science (PLoS)
• Subjects: Affective computing; Age; Aged; Analysis; Artificial intelligence; Behavior; Behavior - physiology; Biology and Life Sciences; Classification; Cognitive ability; Computation; Conductance; Electromyography; EMG; Emotion recognition; Emotional behavior; Emotions; Emotions - physiology; Engineering and Technology; Feature extraction; Gender; Gender Identity; Heart rate; Humans; Identification methods; Medicine; Medicine and Health Sciences; People and Places; Personality - physiology; Physiology; Pictures; Psychology; Psychosomatic medicine; Psychotherapy; Research and Analysis Methods; Researchers; Resistance; Sex roles; Skin; Skin care; Skin Physiological Phenomena; Social Sciences; Speech; Studies; User-Computer Interface; Germany

Affective computing aims at the detection of users' mental states, in particular, emotions and dispositions during human-computer interactions. Detection can be achieved by measuring multimodal signals, namely, speech, facial expressions and/or psychobiology. Over the past years, one major appr...