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Ou Yang

Publications and source records attributed to Ou Yang.

2 recordsLinked to original sources

Look Over There! Dynamic Visual Guidance for AI-Narrated Slides

Slides present information spatially, but narration unfolds linearly, leaving the viewer struggling to locate what the narration refers to. This split attention between audio and visual channels forces viewers to search the slide manually, imposing extraneous cognitive load and disrupting comprehension. The problem is especially acute on mobile devices, where dense layouts compressed onto small screens make visual search particularly effortful. In teacher-led settings, however, instructors naturally direct attention through pointing, pacing, and emphasis. Inspired by this, we present GuideSlide, a system that automatically generates Dynamic Visual Guidance for slide presentations, providing viewers with narration-synchronized visual cues that direct attention in real time. Given a PDF slide deck, GuideSlide automatically produces region-level zoom and time-aligned highlights without manual annotation. In a within-subjects study with 24 participants, GuideSlide substantially reduced perceived cognitive load and yielded higher immediate comprehension scores compared to static slides with identical narration. Participants strongly preferred the Dynamic Visual Guidance condition, reporting that it made narration easier to follow and reduced uncertainty about where to look. These findings suggest that narration-synchronized visual guidance is a valuable design strategy for slide-based presentations, with potential to extend to other instructional and presentation scenarios.

cs.HC↗

Dynamics of ellipsoidal tracers in swimming algal suspensions

Enhanced diffusion of passive tracers immersed in active fluids is a universal feature of active fluids and has been extensively studied in recent years. Similar to microrheology for equilibrium complex fluids, the unusual enhanced particle dynamics reveal intrinsic properties of active fluids. Nevertheless, previous studies have shown that the translational dynamics of spherical tracers are qualitatively similar, independent of whether active particles are pushers or pullers---the two fundamental classes of active fluids. Is it possible to distinguish pushers from pullers by simply imaging the dynamics of passive tracers? Here, we investigated the diffusion of isolated ellipsoids in algal C. reinhardtii suspensions---a model for puller-type active fluids. In combination with our previous results on pusher-type E. coli suspensions [Peng et al., Phys. Rev. Lett. 116, 068303 (2016)], we showed that the dynamics of asymmetric tracers show a profound difference in pushers and pullers due to their rotational degree of freedom. Although the laboratory-frame translation and rotation of ellipsoids are enhanced in both pushers and pullers, similar to spherical tracers, the anisotropic diffusion in the body frame of ellipsoids shows opposite trends in the two classes of active fluids. An ellipsoid diffuses fastest along its major axis when immersed in pullers, whereas it diffuses slowest along the major axis in pushers. This striking difference can be qualitatively explained using a simple hydrodynamic model. In addition, our study on algal suspensions reveals that the influence of the near-field advection of algal swimming flows on the translation and rotation of ellipsoids shows different ranges and strengths. Our work provides not only new insights into universal organizing principles of active fluids, but also a convenient tool for detecting the class of active particles.

cond-mat.soft↗