- 10 Dec, 2021 - Abstracts Due
- 15 Dec, 2021 - Submissions Due
- 25-28 Jan, 2022 - Author Feedback
- 18 Feb, 2022 - Notification
|Submissions due||December 10, 2021 (abstracts)|
|December 15, 2021 (papers)|
|Discussion||January 25-28, 2022|
|Notification||February 18, 2022|
There is increasing interest in designing AI systems to complement and enhance, rather than supplant, human capabilities. New technical challenges arise in the development of machines that model and reason with the mental and physical state of human counterparts, and apply these models to collaborate with people in richer, more flexible ways. The Human-Aware Planning and Scheduling track welcomes research contributions on planning, scheduling, and decision support systems that account for, and fluidly interact with, the humans in the loop. We welcome all works that look at tackling any challenges inherent to settings where a person needs to use, interact, collaborate or work along with planning and scheduling systems. The submissions could include novel algorithms, novel-modeling techniques, challenge papers, case studies of fielded systems, and even novel and emerging applications. The track will also accept submissions that study the same challenges in the context of interaction with systems that use Reinforcement Learning or other learning methods for sequential decision making. We also encourage the authors to consider including user studies to validate novel algorithms or systems when appropriate. The topics for the special track include, but are not limited to the following:
- Human-aware planning, scheduling, and execution
- Human monitoring, plan & goal recognition, and behavior prediction
- Mixed-initiative planning and scheduling systems
- Learning methods for planning in presence of humans
- Explanations of behavior in sequential decision-making/decision-support
- Explanation of scheduling/allocation decisions to human stake-holders
- Improving interpretability and explainability of AI planning/scheduling systems
- Generating predictable and interpretable behavior
- Methods for reward, goal, preference, or constraint specification for reinforcement learning agents
- Creating interpretable and adaptive user interfaces for planning/scheduling systems
- Proactive assistance and decision-support in human-AI collaborative scenarios
- Cognitive modeling, social interaction, and theory of mind
- Safety, ethics, fairness, and transparency in the context of planning/scheduling systems
- Representation and acquisition of human behavioral models
- Theories and applications of human behavior models
- Trust, communication, and collaboration in human-AI teams
- Benchmarking planning domains for human-AI interaction
We have arranged our schedule to permit revision and resubmission of papers rejected from AAAI 2022.
- December 10, 2021 - Abstracts due (electronic submission)
- December 15, 2021 - Full Papers due (electronic submission, PDF)
- January 25-28, 2022 - Author feedback period
- February 18, 2022 - Notification of acceptance or rejection
The reference timezone for all deadlines is UTC-12. That is, as long as there is still some place anywhere in the world where the deadline has not yet passed, you are on time!
Authors may submit long papers (8 pages AAAI style plus up to one page of references) or short papers (4 pages plus up to one page of references). The type of paper must be indicated at submission time. All papers, regardless of length, will be reviewed against the standard criteria of relevance, originality, significance, clarity, soundness, and are expected to meet the same high standards set by ICAPS. Short papers may be of narrower scope, for example by addressing a highly specific issue, or proposing or evaluating a small, yet important, extension of previous work or new idea. Overlength papers will be rejected without review.
Authors making multiple submissions must ensure that each submission has significant unique content. Papers submitted to ICAPS 2022 may not be submitted to other conferences or journals during the ICAPS 2022 review period nor may they be already under review, accepted, or published in other conferences or journals. AAAI decisions will be available two weeks before the ICAPS paper submission deadline. This year, the time gap between submissions to major AI conferences is tighter than usual. We had hoped to be able to both accept submissions of papers rejected from AAAI and enable authors to submit papers rejected from ICAPS to IJCAI 2022. However, the timeline is simply too tight for us to do this and maintain the quality of the ICAPS reviewing process. So while rejected papers from AAAI will have decisions early enough to permit revision and resubmission to ICAPS, we are unable to complete our reviews in time for papers to be resubmitted to IJCAI. Specifically, as the ICAPS 2022 notification date is after IJCAI 2022 full paper submission dates, ICAPS authors will not be allowed to resubmit their papers to IJCAI while they are under review at ICAPS, because of single submission requirements of both conferences.
It is optional for authors to include a statement of the potential broader impact of their work, including its ethical aspects and future societal consequences. This statement can be included in either the main body pages or the reference page. If such a statement is not included in the paper but the reviewers deem that such a statement is necessary, then the authors will be asked to provide one during the author response period for review. If the paper is accepted, the statement provided will need to be incorporated in the camera-ready version.
All submissions will be made electronically, through the EasyChair conference system: https://www.easychair.org/conferences/?conf=icaps2022
Submitted PDF papers should be anonymous for double-blind reviewing, adhere to the page limits of the relevant track CFP/submission type (long or short), and follow the AAAI author kit instructions for formatting:
In addition to the submitted PDF paper, authors can submit supplementary material (videos, technical proofs, additional experimental results) for their paper. Please make sure that the supporting material is also anonymized. Papers should be self-contained; reviewers are encouraged, but not obligated, to consider supporting material in their decisions.
Please direct all questions to ICAPS2022@easychair.org.
- Subbarao Kambhampati, Arizona State University
- Julie Shah, Massachusetts Institute of Technology