.png){kind=icon}
.png){kind=icon}
Return
Embedded Reference: Translocating Gestures in Video-Mediated Interaction
.png){kind=icon}
OA
AI
DOI：10.1080/08351813.2016.1199088.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Audiovisual technologies can enable informal communication akin to face-to-face interaction. However, they prove less successful when deployed to support work and organizational activities. This is, in part, due to the limited ways such technologies provide access to the materials, objects, documents, and the like that are critical for supporting work activities as they emerge and unfold. What is often neglected in these new technologies is a consideration of how objects are referred to, manipulated, and transformed within and through interactions between colleagues. In this article, we consider an advanced prototype system called t-Room that seeks to provide geographically dispersed participants with rich and varied access to physical and digital documents. This technology has been designed to support flexible collaborative activities with and around objects, as if remote participants and materials in their local environment were copresent within a common space. By undertaking quasi-naturalistic experiments in this prototype environment, we reveal that at times participants could unproblematically refer to detailed features of the environments and when there were difficulties, resolve them. We notice, however, that at other times participants had great difficulties in assessing the relationships among themselves, their remote colleagues, and objects in the environment, the very flexibility of the technology introducing instabilities into the sequential accomplishment of referential activities. By considering examples of this technology in use, we suggest that these limitations may reflect wider issues concerned with our understanding of how interactional activities are embedded within the local environment. Data in this paper are in English.
Keywords:
COMMUNICATION
SPACE
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
2.1
Papers:
602
Citations:
2.3K