in five application-related domains, and found the variability to be surprisingly large. In every case two people favored the same term with probability <0.20. Simulations show how this fundamental property of language limits the success of various design methodologies for vocabulary-driven interaction

Coping with the ever-increasing amount of data becomes increasingly challenging. To alleviate the information overload put on people, systems are progressively being connected directly to each other. They exchange, analyze, and manipulate humongous amounts of data without any human interaction

We present a human-centric paradigm for scene understanding. Our approach goes beyond estimating 3D scene geometry and predicts the “workspace ” of a human which is represented by a data-driven vocabulary of human interactions. Our method builds upon the recent work in indoor scene understanding

Abstract—Information visualization has often focused on providing deep insight for expert user populations and on techniques for amplifying cognition through complicated interactive visual models. This paper proposes a new subdomain for infovis research that complements the focus on analytic tasks

This study investigated the effectiveness of an interactive vocabulary instructional strategy, semantic-feature analysis (SFA), on the content area text comprehension of adolescents with learning disabilities. Prior to reading a social studies text, students in resource classes either completed a

vision.ucsd.edu vision.caltech.edu ttic.edu tech.cornell.edu Current human-in-the-loop fine-grained visual catego-rization systems depend on a predefined vocabulary of at-tributes and parts, usually determined by experts. In this work, we move away from that expert-driven and attribute

-tal tabletops. Our system exploits the rich interactional vo-cabulary afforded by the simultaneous availability of the two modalities to provide gesture-driven document editing functionality as an expert alternative to widgets. For our bimanual gestures, we make use of non-dominant hand pos-tures to set pen

;Semantics of Business Vocabulary and Business Rules Specification " (SBVR), an OMG adopted specification, offers an alternative to traditional information modeling with vastly more powerful capabilities and the potential for use within the context of the Model Driven Architecture (MDA) framework. This paper

A new distributed computing model for the Web is now being defined as a result of several ongoing standardization initiatives. This effort is driven by the need to enable open business to business (B2B) interactions on the Web, and is centered around the development of new vocabularies based

We present a human-centric paradigm for scene understanding. Our approach goes beyond estimating 3D scene geometry and predicts the “workspace ” of a human which is represented by a data-driven vocabulary of human interactions. Our method builds upon the recent work in indoor scene understanding