Synchronous text communication is becoming recognized as a valuable workplace communication medium. Studies of group text chat have indicated that its properties can lead to interactional incoherence, yet others have shown it has been adopted in workplaces. We address this apparent contradiction through a detailed analytic examination of text chat transcripts, showing how participants manage their interactions, considering multiple threads, turn taking and topic change. We reveal the routine practices that participants employ to create and manage coherent interaction through this medium, which arise from the turn taking system in operation. This is extrapolated to consider the effects of the redesign of text chat systems on users
interactions.
Text Chat in Action
| Jacki O'Neill, David Martin |
| Group 2003 Conference, Sanibel Island, Florida, USA, November 9-12, 2003. |
The research we conduct on expressive visual representations is applicable to visual search, object detection, image classification and the automatic extraction of 3D human poses and shapes that can be used for human behavior understanding and prediction, human-robot interaction or even avatar animation. We also extract 3D information from images that can be used for intelligent robot navigation, augmented reality and the 3D reconstruction of objects, buildings or even entire cities.
Our work covers the spectrum from unsupervised to supervised approaches, and from very deep architectures to very compact ones. We’re excited about the promise of big data to bring big performance gains to our algorithms but also passionate about the challenge of working in data-scarce and low-power scenarios.
Furthermore, we believe that a modern computer vision system needs to be able to continuously adapt itself to its environment and to improve itself via lifelong learning. Our driving goal is to use our research to deliver embodied intelligence to our users in robotics, autonomous driving, via phone cameras and any other visual means to reach people wherever they may be.
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