A short review and primer on the use of human voice in human computer interaction applications

September 23, 2016 ยท The Cartographer ยท ๐Ÿ› arXiv.org

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
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"Title-pattern auto-detect: A short review and primer on the use of human voice in human computer interaction applications"

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Authors Kristian Lukander arXiv ID 1609.07343 Category cs.HC: Human-Computer Interaction Citations 1 Venue arXiv.org Last Checked 4 days ago
Abstract
The application of psychophysiologicy in human-computer interaction is a growing field with significant potential for future smart personalised systems. Working in this emerging field requires comprehension of an array of physiological signals and analysis techniques. Human speech affords, alongside linguistic content, rich information in the intonation, voice quality, prosody, and rhythmic variation of utterances, allowing listeners to recognise numerous distinct emotional states in the speaker. Several types of factors affect speech, ranging from emotions to cognitive load and pathological conditions, providing a promising non-intrusive source for online understanding of context and psychophysiological state. This paper aims to serve as a primer for the novice, enabling rapid familiarisation with the latest core concepts. We put special emphasis on everyday human-computer interface applications to distinguish from the more common clinical or sports uses of psychophysiology. This paper is an extract from a comprehensive review of the entire field of ambulatory psychophysiology, including 12 similar chapters, plus application guidelines and systematic review. Thus any citation should be made using the following reference: B. Cowley, M. Filetti, K. Lukander, J. Torniainen, A. Henelius, L. Ahonen, O. Barral, I. Kosunen, T. Valtonen, M. Huotilainen, N. Ravaja, G. Jacucci. The Psychophysiology Primer: a guide to methods and a broad review with a focus on human-computer interaction. Foundations and Trends in Human-Computer Interaction, vol. 9, no. 3-4, pp. 150--307, 2016.
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