Interactive Processes among Babies at a Daycare Center

The paper presents a study regarding babies' interactive processes with peers, which aimed to apprehend some of their qualitative aspects, considering babies' peculiarities. An empirical work was conducted with video recording scenes and interviews, regarding the "Babies' Adaptation to a Daycare Center" project, which followed up 21 babies (4-13 months) at a daycare center. Data analysis was based on the Network of Meanings perspective. Five episodes are here presented regarding three focal subjects and their peers. Analysis indicates the occurrence of interactions; among them it can be highlighted the role of the glance, presence of triadic relations (even among babies younger than nine months old), abbreviation of communicative resources and empathy. Moreover, despite verbal language absence at this age, it was verified meaning processes. Some practical-theoretical implications are pointed out as well.

Interactive quadrangulation with reeb atlases and connectivity textures

Creating high-quality quad meshes from triangulated surfaces is a highly nontrivial task that necessitates consideration of various application specific metrics of quality. In our work, we follow the premise that automatic reconstruction techniques may not generate outputs meeting all the subjective quality expectations of the user. Instead, we put the user at the center of the process by providing a flexible, interactive approach to quadrangulation design. By combining scalar field topology and combinatorial connectivity techniques, we present a new framework, following a coarse to fine design philosophy, which allows for explicit control of the subjective quality criteria on the output quad mesh, at interactive rates. Our quadrangulation framework uses the new notion of Reeb atlas editing, to define with a small amount of interactions a coarse quadrangulation of the model, capturing the main features of the shape, with user prescribed extraordinary vertices and alignment. Fine grain tuning is easily achieved with the notion of connectivity texturing, which allows for additional extraordinary vertices specification and explicit feature alignment, to capture the high-frequency geometries. Experiments demonstrate the interactivity and flexibility of our approach, as well as its ability to generate quad meshes of arbitrary resolution with high-quality statistics, while meeting the user's own subjective requirements.