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[2602.22735] Simulation-based Optimization for Augmented Reading
Summary
This article presents a novel approach to augmented reading systems, proposing a simulation-based optimization framework that enhances text presentation for better comprehension and performance.
Why It Matters
The study addresses the limitations of current augmented reading systems, which often depend on heuristics and human testing. By framing the design as a simulation-based optimization problem, it offers a scalable and explainable method to improve user interfaces, potentially transforming how reading systems adapt to individual needs.
Key Takeaways
- Augmented reading systems can be optimized using simulation-based methods.
- The proposed framework allows for real-time personalization of reading interfaces.
- This approach reduces reliance on human testing, making design processes more efficient.
- Two optimization pipelines are introduced: offline exploration and online personalization.
- The framework is grounded in resource-rational models of human reading.
Computer Science > Human-Computer Interaction arXiv:2602.22735 (cs) [Submitted on 26 Feb 2026] Title:Simulation-based Optimization for Augmented Reading Authors:Yunpeng Bai, Shengdong Zhao, Antti Oulasvirta View a PDF of the paper titled Simulation-based Optimization for Augmented Reading, by Yunpeng Bai and Shengdong Zhao and Antti Oulasvirta View PDF HTML (experimental) Abstract:Augmented reading systems aim to adapt text presentation to improve comprehension and task performance, yet existing approaches rely heavily on heuristics, opaque data-driven models, or repeated human involvement in the design loop. We propose framing augmented reading as a simulation-based optimization problem grounded in resource-rational models of human reading. These models instantiate a simulated reader that allocates limited cognitive resources, such as attention, memory, and time under task demands, enabling systematic evaluation of text user interfaces. We introduce two complementary optimization pipelines: an offline approach that explores design alternatives using simulated readers, and an online approach that personalizes reading interfaces in real time using ongoing interaction data. Together, this perspective enables adaptive, explainable, and scalable augmented reading design without relying solely on human testing. Subjects: Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI) Cite as: arXiv:2602.22735 [cs.HC] (or arXiv:2602.22735v1 [cs.HC] for this version) http...
