This essay summarizes the editor's views of publication in the field of human-computer interaction. Digital technologies have begun changing the way journal articles and conference papers are produced, reviewed, published, accessed, and used. This period of profound change presents challenges and opportunities for both new and existing channels of scientific and technical communication.
Grudin, Jonathan. ACM TOCHI (2004). Articles>Research>Publishing>Online
A Scalable Method for Deductive Generalization in the Spreadsheet Paradigm

In this paper, we present an efficient method for automatically generalizing programs written in spreadsheet languages. The strategy is to do generalization through incremental analysis of logical relationships among concrete program entities from the perspective of a particular computational goal. The method uses deductive dataflow analysis with algebraic back-substitution rather than inference with heuristics, and there is no need for generalization-related dialog with the user. We present the algorithms and their time complexities and show that, because the algorithms perform their analyses incrementally, on only the on-screen program elements rather than on the entire program, the method is scalable. Performance data is presented to help demonstrate the scalability.
Burnett, Margaret, Sherry Yang and Jay Summet. ACM TOCHI (2002). Articles>Human Computer Interaction
Transactions on Computer-Human Interaction 
This archival journal publishes original research that spans the field of human-computer interaction. Beginning with its first issue in March, 1994, it has sought to present work of high scientific quality that contributes to practice in the present and future. The primary emphasis has been on results of broad application, but the journal considers original work focused on specific domains, on special requirements, on ethical issues -- the full range of design, development, and use of interactive systems.
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