We welcome contributions on the following topics and related areas:
Engineering methods in human-computer interaction (HCI) and user experience (UX) in AI-driven systems.
Engineering for Explainable AI.
Usability in AI-assisted decision-making.
Evaluating UX in adaptive systems.
Ethical concerns in engineering AI-driven interactive systems.
Engineering explainable AI interfaces to build user trust.
Balancing explainability and performance in AI interfaces.
Engineering and Usability challenges in AI-assisted decision-making systems (e.g., healthcare, finance, autonomous vehicles).
Evaluating UX in adaptive and generative AI interfaces.
Ethical and human-centric considerations in AI-driven interactive systems.
Papers should be 6–10 pages in the LNCS (Lecture Notes in Computer Science) format, including references.
You can find the template at the following URL: Springer LNCS Word/LaTeX Templates
All submissions must be anonymous and follow the double-blind review policy.
Papers will be reviewed by the workshop committee and selected for presentation based on relevance, quality, and novelty.
Papers will be submitted through Microsoft CMT
Submission Format: PDF, Springer LNCS format, 6–10 pages
Review Process: Double-blind, peer reviewed
Language: English
Anonymity: Author names and affiliations must not appear in the submission
Submission System: Microsoft CMT