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 2013
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(2013) : Hey! There is someone at your door. A hearing robot using visual communication signals of hearing dogs to communicate intent: 2013 IEEE Symposium on Artificial Life (ALIFE): 16-19 April 2013, Singapore ; [part of the] 2013 IEEE Symposium Series on Computational Intelligence (SSCI): 2013 IEEE Symposium on Artificial Life (ALife): Singapore, Singapore: 4/16/2013 - 4/19/2013. Annual IEEE Computer Conference; IEEE Symposium on Artificial Life; Alife; IEEE Symposium Series on Computational Intelligence; Ssci: Piscataway, NJ: IEEE, S. 90-97
Abstract: This paper presents a study of the readability of dog-inspired visual communication signals in a human-robot interaction scenario. This study was motivated by specially trained hearing dogs which provide assistance to their deaf owners by using visual communication signals to lead them to the sound source. For our human-robot interaction scenario, a robot was used in place of a hearing dog to lead participants to two different sound sources. The robot was preprogrammed with dog-inspired behaviors, controlled by a wizard who directly implemented the dog behavioral strategy on the robot during the trial. By using dog-inspired visual communication signals as a means of communication, the robot was able to lead participants to the sound sources (the microwave door, the front door). Findings indicate that untrained participants could correctly interpret the robot's intentions. Head movements and gaze directions were important for communicating the robot's intention using visual communication signals.
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