Scope and Topics

We solicit original, unpublished research papers on computing technologies for modeling, programming, communicating, and reasoning, which are easier to learn, use or understand by humans than the current state-of-the-art. Papers should focus on efforts to design, formalize, implement, or evaluate those technologies and languages. This includes technologies intended for general audiences (e.g., professional or novice programmers, or the public) or domain-specific audiences (e.g., people working in business administration, production environments, healthcare, urban design or scientific domains). Empirical papers that validate current proposed solutions with rigorous scientific means (i.e., empirical studies, controlled experiments, rigorous case studies, etc.) are also welcome.

Areas of interest include, but are not limited to:

    Visual languages: Novel visual languages, Design, evaluation, and theory of visual languages and applications, Development of systems for manipulating and interacting with diagrammatic representations
    Human aspects and psychology of software development and language design, such as supporting inclusion and diversity in programming
    End-user development, adaptation and programming, Creation and evaluation of technologies and infrastructures for end-user development
    Representations: Novel representations and user interfaces for expressing computation, Software, algorithm and data visualization
    Modeling: Model-driven development, Domain-specific languages, including modeling languages, Visual modeling of human behavior and socio-technical systems
    Thinking more deeply about code: Computational thinking and Computer Science education, Debugging and program understanding, Explainable ML/AI
    Future of work with AI: Human-Centric AI-based tools, modeling end-user interactions with AI powered tools
    Low Code/No Code paradigm: Approaches for creation and deployment of fully functional applications using visual abstractions and interfaces

If you are not sure if your paper is a good fit for VL/HCC, feel free to email the PC Co-chairs (see “Contact” below). We welcome those new to the VL/HCC community to submit!