Alle Publikationen
- <<
- <
- 1
2019
-
(19.07.2019): Towards automatic estimation of conversation floors within F-formations, zuletzt geprüft am 01.10.2019
Abstract: The detection of free-standing conversing groups has received significant attention in recent years. In the absence of a formal definition, most studies operationalize the notion of a conversation group either through a spatial or a temporal lens. Spatially, the most commonly used representation is the F-formation, defined by social scientists as the configuration in which people arrange themselves to sustain an interaction. However, the use of this representation is often accompanied with the simplifying assumption that a single conversation occurs within an F-formation. Temporally, various categories have been used to organize conversational units; these include, among others, turn, topic, and floor. Some of these concepts are hard to define objectively by themselves. The present work constitutes an initial exploration into unifying these perspectives by primarily posing the question: can we use the observation of simultaneous speaker turns to infer whether multiple conversation floors exist within an F-formation? We motivate a metric for the existence of distinct conversation floors based on simultaneous speaker turns, and provide an analysis using this metric to characterize conversations across F-formations of varying cardinality. We contribute two key findings: firstly, at the average speaking turn duration of about two seconds for humans, there is evidence for the existence of multiple floors within an F-formation; and secondly, an increase in the cardinality of an F-formation correlates with a decrease in duration of simultaneous speaking turns.
2016
-
(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.
2015
-
(2015): F-formation and social context. How spatial orientation of participants’ bodies is organized in the vast field, S. 263-283, zuletzt geprüft am 01.10.2019Keywords: F-Formations
2011
-
(2011) : Using F-formations to analyse spatial patterns of interaction in physical environments In: Hinds, Pamela: Proceedings of the ACM 2011 conference on Computer supported cooperative work: New York, NY: ACM, zuletzt geprüft am 01.10.2019
- <<
- <
- 1