We invite five kinds of paper submissions, and we invite all to take part in discussions with or without papers. The paper types are as follows. :

1. Long research papers, or research survey papers, up to 8 pp.
2. Short research papers, up to 4 pp.
3. Work-in-progress papers, up to 4 pp.
4. Position papers, up to 4 pp.
5. Posters, with 2-page proceedings summary papers.

For any form of paper or poster, an abstract must be submitted to the EasyChair Designing Technologies to Support Human Problem Solving workshop submission site by the end of 6 July 2018.

Completed papers must be submitted as PDF files to the EasyChair Designing Technologies to Support Human Problem Solving workshop submission site by the end of 13 July 2018. Use an IEEE Conference template to format your submission.

Submitted paper abstracts and PDFs can be updated at any time through the end of day on 13 July 2018 (anytime on Earth). Authors are encouraged to submit drafts that can be updated until the 13 July deadline. Drafts should be indicated by putting Draft: at the beginning of the title in the paper.

Submissions are not anonymous, so do not anonymize your papers.

Accepted papers will normally be published in arXiv.org. However, authors may indicate with their submission that if accepted, their paper not be published there and only made available to workshop attendees.

Call for Participation

Purpose of the Workshop

The purpose of the workshop is to exchange ideas and address a set of questions to help participants gain new insights into the design of systems that help users (typically in groups or communities) solve and/or understand complex problems, such as instances of global-challenges and wicked problems. Such problems include aspects of climate change, drug-resistant diseases, nuclear proliferation, fake news, global health, clean water, and urban homelessness. The increasing sophistication of software systems also makes complex problem solving increasingly important in software engineering. Recent technology developments suggest new approaches to integrated systems that combine human-centered computing, crowdsourcing, artificial intelligence and machine learning, sensor networks, and computer-supported collaborative work.

Suggested Topics for Discussion

Through paper presentations, a keynote lecture, and discussions, the workshop will address the following questions:

• What possible new forms of human problem-solving experiences should be supported by new technological tools?
• What social structures and workflows may need to be supported?
• How should students and professionals be educated and trained in order to be able to function most productively in these new human-technical environments for problem solving?
• What are potential roles for crowdsourcing, artificial intelligence, machine learning, intelligent tutoring, and the Internet of Things in these systems?
• How should systems be designed to make biases in machine learning processes more visible and how can these systems allow humans to compensate for those biases?
• What might existing and possible future theories of problem solving contribute to the design of these systems?
• What provisions should be made to promote diverse community engagement in problem solving, designing for inclusion across identities as they may relate to aspects such as socio-economic status, gender, culture, etc?
• What should a research agenda in this field consist of?