The First International Workshop on Reciprocal Knowledge Elicitation for Human-Agent Collaboration invites researchers and practitioners to submit an extended abstract regarding work that addresses or describes any aspect of knowledge elicitation in the context of human-agent collaboration.
Topics for this workshop include but are not limited to:
- studies concerning knowledge elicitation with a quantitative/qualitative or a mixed-method approach, across a wide variety of application areas, e.g., finance, health, or manufacturing
- applied human-agent collaboration with implemented knowledge elicitation OR the potential to implement knowledge elicitation
- comparing the capabilities of humans and (software) agents in collaborative scenarios
- work on knowledge representation for facilitating human-agent communication
As we aim to encourage a meaningful discussion in the field of (reciprocal) knowledge elicitation, work that is unpublished, recently published or under review can be accepted for presentation depending on the novelty, significance and contributions of the work to the workshop theme. Submissions will be processed via EasyChair. See also the preliminary schedule. Accepted papers will be available on the workshop's website. However, no formal workshop proceedings will be made available as standalone or as part of the official conference proceedings, which means that contributors are free to publish their work in archival journals or conferences.
Note: All deadlines are based on end of day (23:59) AoE time zone. Check your local time in AoE.
- Paper Submission Date: October 30, 2023
- Acceptance Notification Date: November 13, 2023
- Camera-Ready Submission Date: November 31, 2023
- Workshop Date: December 4, 8:00 - 18:00
The workshop will only accept online submissions of PDF files (no MS Word, Latex, etc.) with a page length between 2 and 4 pages (excluding references). All submissions will be reviewed by two reviewers and will receive a meta review for quality assurance.
All papers must be anonymized and in the two-column ACM SIGCHI format. We recommend to use the official Overleaf template with the document class specification:
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