Abstract
Global affective computing research in the period 1997-2017: a bibliometric analysis
Highlights
Affective Computing (AfC), is a computational system that aspires to respond to the affective states of the user, narrowing the communicative gap between the highly emotional human and the emotionally challenged computer (Calvo & D’Mello 2010)
The main indicators include total number of publications (TP), total number of citations (TC), Average Citations Per Publication (ACPP), Relative Growth rate (RGR) and Doubling Time (DT), which measure the time required for the number of publications in a particular year to become double
According to Mahapatra (1985), the rate of growth with respect to time and doubling time are defined as follow, where Ni and Ni-1 are the number of publications in the years i and i − 1: RGRi = ln( Ni) − ln(Ni−1) DTi = ln2/RGRi
Summary
Affective Computing (AfC), is a computational system that aspires to respond to the affective states of the user, narrowing the communicative gap between the highly emotional human and the emotionally challenged computer (Calvo & D’Mello 2010). Emotions modulate almost all modes of human communication (Picard, Vyzas and Healey, 2001), signaling when events are favourable or harmful (Frijda, 1986), playing an important role in successful and effective human-human communication, as well as in human’s rational learning (Cambria, 2016). They may be monitored through several techniques, like computing systems (objective) and by asking users to self-report their own emotions (Lopatvoska & Arapakis, 2011). The measurement of emotions is critical for commercial purposes (Lang, 2014)
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