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ISEUP 2020 : Workshop on Intelligence in Spreadsheets and End-User Programming

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Link: https://conf.researchr.org/track/vlhcc2020/iseup
 
When Aug 10, 2020 - Aug 14, 2020
Where Dunedin, New Zealand
Abstract Registration Due May 1, 2020
Submission Deadline May 8, 2020
Categories    artificial intelligence   machine learning   spreadsheets   end-user programming
 

Call For Papers

This workshop on Intelligence in Spreadsheets and End-User Programming will provide a venue for exploring issues that arise in designing, developing and evaluating intelligent and inferential user interfaces for spreadsheets and other end-user programming contexts.

Spreadsheets and end-user programming are empowering technologies that transform people’s relationship with technology from users to co-creators. Yet for non-programmers, writing spreadsheets or scripts is difficult, tedious, and error prone. At the same time, advances in AI inference, language modelling, and interface design have led to breakthroughs in productivity tools for professional software developers, such as intelligent code-autocomplete, code navigation, translation, debugging, and more. The same or similar techniques, when applied to end-user programmers (and in particular spreadsheet users) stands to benefit a much broader group of people, creating immense impact.

The organisers of ISEUP 2020 (held in conjuction with VL/HCC 2020) seek original papers on the theme of intelligence in spreadsheets, visual languages, and end-user programming, including but not limited to the following topics:

guidelines for design of AI for programming
empirical measures of success for AI enhancements (beyond time and errors)
novel application domains for spreadsheets (esp. those opened up by AI/ML)
novel user categories (esp. those opened up by AI/ML)
applications of well-known AI techniques to spreadsheets (e.g., summarization, translation, clustering, classification, auto-completion)
explainable, transparent, fair and ethical AI for spreadsheets and programming
AI assistance for teaching and learning programming
technology for solving AI/ML tasks in spreadsheets

Papers may make technical or theoretical contributions (or both), or make a contribution as a position paper. This is a workshop; descriptions of work-in-progress and late breaking work are welcome. In the spirit of the SIGPLAN Republication Policy, inclusion of a talk in the programme is not intended to preclude later formal publication.

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