AI is increasingly integrated with physical entities for sensing and actuation, directly impacting our daily lives. This integration spans a wide range of applications, from routine goods to specialized AI-infused products, and from small actuators to large electromechanical systems with embedded or networked intelligence. As immersive technologies blur the boundaries between the physical and digital worlds, there are new opportunities to augment the capabilities of AI-infused physical systems. However, the complexity of these systems and their direct impact on our physical reality pose unique challenges in designing interpretable and inclusive interactions.
This workshop aims to explore the challenges and opportunities in designing interpretable, inclusive, and immersive interactions with ubiquitous AI-infused physical systems, considering their physical exertion, expanding capabilities, and the need for accessible and understandable human-AI interactions.
Important Dates
Paper submission deadline: June 17, 2024 (AOE) June 24, 2024 (AOE)
Notification of acceptance: July 8, 2024 (AOE) July 15, 2024 (AOE)
Camera-ready deadline: July 22, 2024 (AOE)
Workshop date: October 6, 2024
Submission Formatting and Procedure
Extended abstracts can be up to 2 pages (note) or 4 pages (regular) long, in the 2-columns ACM Proceedings format, excluding references.
We welcome note submissions and position papers presenting early-stage ideas!
Submissions should be made via the Precision Conference (Submissions will open 4 weeks before the deadline).
Submissions should follow UbiComp 2024’s guidelines for accessible materials.
All accepted papers (note and regular) will be included in the same UbiComp/ISWC Adjunct Proceedings, which will be indexed in the ACM Digital Library.
Call For Papers
Research Note (2-pages) and Regular Papers (4-pages)
To answer the research questions, we invite contributions including but not limited to:
Positions exploring novel interaction paradigms, design principles, and frameworks for AI-infused ‘physical’ systems
Artifacts and prototypes showcasing interaction with networked or embedded intelligence in ‘physical’ systems
Case studies and empirical evaluations assessing the interaction quality and user experience of AI-infused ‘physical’ systems in specific application areas
Enabling technologies, platforms, and infrastructures supporting the development of AI-infused ‘physical’ systems
User studies investigating user needs, preferences, and characteristics in interacting with AI-infused ‘physical’ systems
Algorithm Note (2-pages) and Regular Papers (4-pages)
To provide research opportunities for junior researchers or those with limited access to facilities, we also encourage notes and regular papers with algorithmic contributions that align with the workshop's scope and objectives, leveraging existing open datasets. While open to all types of open datasets, for those released by the organizers (below), we can provide guidance and feedback throughout the workshop, although all contributions will undergo the same review process.