- EXTENDED Submission deadline: January 12, 2018 February 9
- Notification of acceptance early submissions: January 30, 2018
- Notification of acceptance late submissions: February 19, 2018
- UPDATED Camera-ready deadline: March 1, 2018
In this workshop, we want to bring together researchers and practitioners from a wide range of different disciplines who are interested in explainable robot and AI systems. We welcome multidisciplinary contributions that inform or intersect with robot systems, such as human-human interaction, HCI, HRI, human factors, engineering, computer sciences, cognitive science, interactive design, communication science, sociology, anthropology, psychology, philosophy.
We welcome prospective participants to submit extended abstracts (max. 2 pages) covering any topic that could potentially contribute to the discussion of people’s interpretation of robot actions as well as the implementation of transparent, predictable, and explainable behaviors in robotic systems. All papers should be submitted in PDF format using the HRI LBR template and should be sent to firstname.lastname@example.org. Word and LaTeX templates can be found here – please use the sample-sigconf.tex or ACM_SigConf.docx files. All submitted papers within the scope of the workshop will be peer-reviewed. Papers will be selected based on their originality, relevance, contributions, technical clarity, and presentation. Accepted papers will require that at least one author registers for and attends the workshop.
After the conference, and with permission of the authors, we will provide online access to the workshop proceedings on this website. In addition, we have submitted a special issue proposal to the ACM Transactions on Human-Robot Interaction (formerly the Journal of HRI), giving accepted authors the opportunity to disseminate full-versions of their work and other ideas developed during the workshop.
We encourage researchers to attend the workshop even without a paper submission, as a major portion of the workshop involves community engagement and discussion to foster uptake of concepts regarding explainable robotic systems within the field of HRI.