Alle Publikationen
- <<
- <
- 1
2017
-
(2017): Real-time gesture translation in intercultural communication. In: AI & Society 32 (1), S. 25-35. DOI: 10.1007/s00146-014-0573-4
Abstract: Nonverbal behavior plays a crucial role in human communication and often leads to misunderstandings between people from different cultures, even if they speak the same language fluently. While translation systems are available for verbal communication, translators for nonverbal communication do not exist yet. We present the conceptual design and an early prototype of a real-time gesture translator using body tracking and gesture recognition in avatar-mediated intercultural interactions. It contributes to the ambitious goal of bridging between cultures by translating culture-specific gestures to enhance mutual understanding. Possible applications of the gesture translator are discussed as a facilitating tool for global business meetings and as a means of technology-enhanced conflict resolution and prevention.
Keywords: body tracking, Computerwissenschaft, Cultural interaction, culture specific, Disziplin, Gestik, Gestik/Mimik, gesture, Interaktion, Kommunikation, kulturspezifisch, Kulturtheorie, Mensch-Technik-Relationen (MTR), Nonverbal behaviour, Nonverbales Verhalten, Personenerkennung, Realtechnik, real-time gesture translation, Sozial Intelligente Agenten, Status / biologische Marker, Technik, translators for nonverbal communication 2016
-
(2016): Reading palm-up signs. Neurosemiotic overview of a common hand gesture. In: Semiotica (210). DOI: 10.1515/sem-2016-0053
Abstract: This article explores ways in which the human nervous system encodes and decodes palm-up gestural signs, signals, and cues. Palm-up gestures and their accompanying speech acts evolved from an ancient neurological system that gave rise to both gestural (pectoral) communication and vocal (laryngeal) language (Bass and Chagnaud 2013, Shared developmental and evolutionary origins for neural basis of vocal-acoustic and pectoral-gestural signaling. Proceedings of the National Academy of Sciences 109. 10677-10684.). Meanings of palm-up cues are multifaceted and nuanced, and express degrees of emotional helplessness, cognitive uncertainty, prosodic emphasis, and social deference. By themselves or in combination with other hand movements - such as reaching, showing, and pointing - palm-up cues are used to begin speaking turns, ask questions, request favors, and share personal opinions, feelings, and moods. The palm-up hand movement is a possibly universal signal of deference, in Erving Goffman's (1956, The nature of deference and demeanor. American Anthropologist 58(3). 473-502.) sense of the term, not unlike other deferential body-motion cues such as the anjaimudra, bow, curtsy, genuflection, kowtow, namaste, poussi-poussi, pranama, sampeah, and wai.
2014
-
(2014): The taxicab-hailing encounter. The politics of gesture in the interaction order. In: Semiotica (202), S. 609-629. DOI: 10.1515/sem-2014-0047
Abstract: The forms of emblematic gesture and other communicative moves used in hailing taxicabs are shaped by the urban built environment and by the micropolitics sparked by what Goffman called the "loose coupling" of the interaction and social orders. Cabdrivers evaluate street hails and choose whether or not to stop for prospective passengers; hailers seek to communicate their desirability as passengers within the limited mode of the street hail. The conditions and constraints that underlie the practice and reception of street hailing are considered. A survey on methods used to hail taxis was sent to a listserv of taxi drivers in San Francisco, California. The drivers evaluated street hails in terms of two axes clarity and propriety - and three levels of context: the immediate interactional context of the street; the anticipated interactional context of the cab ride; and the political context, or the political discourse framing taxicab regulation in the city.
-
(2014): A Framework for User-Defined Body Gestures to Control a Humanoid Robot. In: International Journal of Social Robotics 6 (3), S. 383-396. DOI: 10.1007/s12369-014-0233-3
Abstract: This paper presents a framework that allows users to interact with and navigate a humanoid robot using body gestures. The first part of the paper describes a study to define intuitive gestures for eleven navigational commands based on analyzing 385 gestures performed by 35 participants. From the study results, we present a taxonomy of the user-defined gesture sets, agreement scores for the gesture sets, and time performances of the gesture motions. The second part of the paper presents a full body interaction system for recognizing the user-defined gestures. We evaluate the system by recruiting 22 participants to test for the accuracy of the proposed system. The results show that most of the defined gestures can be successfully recognized with a precision between 86100 % and an accuracy between 7396 %. We discuss the limitations of the system and present future work improvements.
- <<
- <
- 1