Zahra Langford

LANGUAGE-BASED COLOR EDITING FOR MOBILE DEVICES

Natural language color (NLC) was initially developed as a web-based application and then deployed in one Xerox print driver. NLC changes the image-editing paradigm from the use of curves, sliders, and knobs, to the use of verbal text-based commands such as “make light green much less yellowish”. The technology appeals to a common user who has no expert knowledge in color science, and this naturally leads one to think about its use in mobile devices. A prototype GUI design for a language-based color editing on iPhone platform will be presented that uses several of its haptic interfaces (e.g. “slot-machine”, shaking, swiping, etc.). A textual interface is provided to select a color to be modified within the image and a direction of change for the modification. A swipe interface is provided to select a magnitude and polarity for the modification. Actions on the textual and swipe interface are converted to natural language commands that are in turn used to derive a color transformation that is applied to relevant portions of the image to yield a modified image. The modifications are displayed in real time to the user.

Managing Interactions in the Collaborative 3D DocuSpace for Enterprise Applications

A novel system is proposed in this paper to manage the interactions in the context of document contents to enhance user collaboration experiences. By explicitly capturing, tracking and analyzing the document interactions in the collaborative 3D space, the system can provide instant feedback to influence users’ behaviors and/or enable the adaptive contents. Furthermore, the proposed system can persistent these document interactions to content repository for selective and contextual “replay” or “review”.