Yibo Meng, Ruiqi Chen, Zhiming Liu, Xiaolan Ding — Accepted at MobileHCI 2026 — cs.HC 📄 Full text (arXiv)
TibetCPR is a low-cost, self-guided CPR training system that pairs depth-driven electrotactile feedback with rhythm-driven visual cues within a Tibetan-language narrative, designed for regions where instructor-mediated training is fragmented and learners' linguistic/educational backgrounds are heterogeneous. In a randomized study with 40 lay community members aged 19–56, the experimental group showed progressive minute-by-minute stabilization of rhythm and depth across a 10-minute intervention, substantially exceeding unguided-practice control, with gains transferring to an unscaffolded post-test (SUS=84.3). The paper synthesizes three transferable design principles for self-guided embodied training: feedback as a calibration reference rather than an immediate corrector; modality temporal granularity matched to behavior's temporal structure; and autonomous interpretability as a deployment prerequisite. These principles connect to formative-assessment and scaffolding in skills training contexts, and the feedback-as-calibration approach has implications for intelligent-tutoring systems that provide real-time guidance in embodied learning tasks.
Related Pages
- knowledge-tracing-irt — Knowledge tracing models and IRT for student modeling
- intelligent-tutoring — AI tutoring systems and adaptive instruction
- learning-analytics — Data-driven analysis of learning processes
- ai-literacy — Understanding and evaluating AI tools
- student-modeling — Representing learner knowledge and behavior
- cs-education — Computing education research and pedagogy
- self-regulated-learning — Metacognitive strategies for independent learning
- formative-assessment — Ongoing assessment to inform instruction
- automated-grading — AI-assisted evaluation of student work
- scaffolding — Instructional support that fades with competence
Citations
APA: Yibo Meng, Ruiqi Chen, Zhiming Liu, Xiaolan Ding (2026). TibetCPR: A Multimodal Tactile Feedback System for CPR Training in High-Altitude Regions. arXiv:2606.07765. Accepted at MobileHCI 2026 — cs.HC.