Alle Publikationen
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2017
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Burgoon, Judee K.; Magnenat-Thalmann, Nadia; Pantic, Maja (Hg.) (2017): Social signal processing. Cambridge: Cambridge University Press
Abstract: Social Signal Processing is the first book to cover all aspects of the modeling, automated detection, analysis, and synthesis of nonverbal behavior in human-human and human-machine interactions. Authoritative surveys address conceptual foundations, machine analysis and synthesis of social signal processing, and applications. Foundational topics include affect perception and interpersonal coordination in communication; later chapters cover technologies for automatic detection and understanding such as computational paralinguistics and facial expression analysis and for the generation of artificial social signals such as social robots and artificial agents. The final section covers a broad spectrum of applications based on social signal processing in healthcare, deception detection, and digital cities, including detection of developmental diseases and analysis of small groups. Each chapter offers a basic introduction to its topic, accessible to students and other newcomers, and then outlines challenges and future perspectives for the benefit of experienced researchers and practitioners in the field.
Keywords: Computer vision, Computerwissenschaft, Disziplin, doppelter Treffer, Favoriten, Human behaviour analysis', Interaktion, Mensch-Technik-Relationen (MTR), Modelle/Theorien, Realtechnik, Sammelband, Signal, Signale, Signaling social preferences/ Social signal processing, Social interactions, social signal processing, Social Signal Processing (SSP), social signalling, Social signals, Soziale Angemessenheit, soziale Kognition, Soziosensitive Systeme, speech processing, Technik -
(2017) : Social Signal Processing in Social Robotics In: Vinciarelli, Alessandro; Burgoon, Judee K.; Pantic, Maja; Magnenat-Thalmann, Nadia (Hg.): Social signal processing: Cambridge: Cambridge University Press, S. 317-328
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(2017) : Introduction: Social Signal Processing In: Vinciarelli, Alessandro; Burgoon, Judee K.; Pantic, Maja; Magnenat-Thalmann, Nadia (Hg.): Social signal processing: Cambridge: Cambridge University Press, S. 1-8
2016
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(2016): Editorial: Understanding Social Signals: How Do We Recognize the Intentions of Others?. In: Frontiers in psychology 7. DOI: 10.3389/fpsyg.2016.00281
DOI: https://doi.org/10.3389/fpsyg.2016.00281 Abstract: Humans interact with each other seamlessly, smoothly, and without obvious effort. Social signals are the basis of this highly effective communication. These signals are speech utterances, body movements such as gestures, manipulations of objects, and combinations thereof. For example, interlocutors typically position themselves in an F-formation (Goffman, 1963; Ciolek and Kendon, 1980; Kendon, 1990) and thereby signal to each other that they are part of that interaction. If another participant joins that interaction, the interlocutors integrate her in a new F-formation. The movements of each individual were comparably inconspicuous, but the intention for producing them was easily recognizable to the recipient. Humans use these signals intuitively and without conscious awareness. But in order to enable a robot to understand and respond appropriately to social signals, their form and function have to be made explicit. This research topic presents methods for identifying, understanding, and applying social signals in human–machine interaction.
2012
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(2012): Bridging the Gap between Social Animal and Unsocial Machine: A Survey of Social Signal Processing. In: IEEE Transactions on Affective Computing 3 (1), S. 69-87. DOI: 10.1109/T-AFFC.2011.27
2008
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(2008): Proceedings of the 16th ACM international conference on Multimedia. New York, NY: ACM. Online verfügbar unter http://dl.acm.org/citation.cfm?id=1459359
2007
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(2007): Social Signal Processing [Exploratory DSP]. In: IEEE Signal Processing Magazine 24 (4), S. 108-111. DOI: 10.1109/MSP.2007.4286569
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