The symposium invites submissions related (but not limited) to the following topics:
Human-centered design approaches for developing AI technologies to support aging in place.
Empirical, theoretical, and design-based investigations of the use of AI-based technologies for older adults.
Relevant lived experiences and theory to identify needs for supporting aging in place.
Personal experiences related to the creation, use, and deployment of relevant AI technologies.
Policy guidelines and best practices for effectively incorporating AI approaches for older adults, including those experiencing physical and cognitive disabilities.
Ethical and societal considerations (e.g., privacy concerns, algorithmic bias, predatory research practices, technology risks, digital literacy).
Multimodal data management (e.g., collection, cleaning, annotation, labeling, sharing, harmonization) to support aging in place.
Working with imperfect data (e.g., sparse, mislabeled, noisy, imbalanced, biased) in eldercare settings.
Analysis of long-term sensor-based data for home-based support for older adults, including modeling and detecting changes in user preferences, needs, abilities, routines, and health indicators over time.
Identifying and addressing real-world challenges when deploying and evaluating AI-based technologies for aging (e.g., scalability concerns, edge computing, evaluation metrics).
AI-based systems and devices designed to provide physical, cognitive, and/or social assistance for promoting independent living at home.
Methods and systems for mediating interactions with the older adult’s care and social networks (e.g., telehealth, care coordination, communication systems).
We welcome submissions that are in progress, under review at any venue, or have been accepted recently (with appropriate acknowledgment). We also encourage experience reports, where authors share their personal experiences related to the creation, use, and deployment of relevant AI technologies. The submission and review process is double-anonymized. We will accept the following types of submissions:
short papers (2-4 pages + references)
regular papers (4-6 pages + references)
As part of this workshop, we request that all papers provide a broader impact statement (max 200 words) to contextualize the work within the scope of developing AI for aging in place. This broader statement should be part of the main paper, subject to the page limit. Given the word limit, please address the following points at a high-level.
Clarify the stage of the development process your work is in (e.g., formative work/conceptual stage, initial usability testing, deployment, and evaluation with older adults or other populations, etc.) and outline the remaining work.
Comment on the populations you have worked with, if any (e.g., healthy older adults, adults with MCI or dementia, older adults with physical challenges, etc.).
State the contributions of the work (gap in the literature you are addressing or the technical innovations you introduce), and indicate if this is an experience report (find details about what an experience report is here).
How does this work contribute, or have the potential to contribute, to aging in place?
Accepted papers will be invited for a poster presentation, and may be selected to give a short talk. All submissions will receive two reviews by a program committee. All papers for this workshop must be submitted in PDF format and conform to standard double-column AAAI Proceedings Style via the EasyChair submission site (under the "paper" submission type). For those interested, accepted papers can be published by AAAI as part of the AAAI Fall Symposium Series. We expect that each paper submitted to the symposium will have at least one author participate in the review of 2-3 other submissions.
July 21 Early submission deadline (notifications of acceptance or rejection: July 31 Aug 2)
Aug 6 Final submission deadline (notifications of acceptance or rejection: Aug 16 Aug 19)
Aug 29 Camera-ready submission deadline
Oct 4 AAAI early registration deadline
Nov 7-9 AAAI FSS 24