By Christian Peter, Russell Beale
Affect and emotion play an immense function in our daily lives: they're current no matter what we do, at any place we're, and anywhere we cross, with no us being conscious of them for far of the time. by way of interplay, be it with people, know-how, or people through expertise, we by surprise turn into extra conscious of emotion, both by way of seeing the other’s emotional expression, or by means of now not getting an emotional reaction whereas looking forward to one.
Given this, it sort of feels simply good to discover impact and emotion in human-computer interplay, to enquire the underlying ideas, to review the position they play, to boost how you can quantify them, and to ultimately construct functions that utilize them. this is often the learn box for which, over ten years in the past, Rosalind Picard coined the word "affective computing".
The current publication presents an account of the most recent paintings on a number of features on the topic of impact and emotion in human-technology interplay. It covers theoretical matters, person event and layout points in addition to sensing matters, and reviews on a few affective functions which were constructed in fresh years.
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Additional info for Affect and Emotion in Human-Computer Interaction: From Theory to Applications
C. Peter and R. ): Affect and Emotion in HCI, LNCS 4868, pp. 23–34, 2008. S. Bainbridge of the cross-disciplinary connections. My own research goal entails developing comprehensive methods for measuring and ultimately emulating individual human personalities in fine detail, what I call “personality capture” . A landmark in the convergence of affective computing with artificial intelligence and personality capture was a 1993 workshop on Artificial Social Intelligence (ASI), sponsored by the National Science Foundation and held at the National Center for Supercomputing Applications .
My interface simply presented each stimulus by each emotion separately, with a single rating scale, stepping through at one tap per measurement. The resulting 40,000 measures can be analyzed in many ways, but one obvious step was to factor analyze the data to see how the respondent conceptualizes the twenty emotions. The data turned out to have primarily three dimensions in it, one collecting positive emotions, Computational Affective Sociology 31 the second collecting negative emotions, and the third collecting four emotions that describe the energetic character of the stimulus: excitement, surprise, indifference, and boredom.
Lichtenstein et al. Context-awareness enables applications and systems to obtain additional information in a situation and therewith to correspond in a richer, more human-like manner with the user. Thus, the user-system interaction is enhanced and the user is able to interact with the application in a more natural and pleasant way. Within e-SENSE three application spaces and themes have been defined that depict the usage of the e-SENSE concept in various situations. These aim at personal life (Personal application space), the community of professional users (Community application space), and industrial applications (Industrial application space).
Affect and Emotion in Human-Computer Interaction: From Theory to Applications by Christian Peter, Russell Beale