SBM16: Sketch Based Interfaces and Modeling 2016

Permanent URI for this collection

Expressive 2016

Joint Symposium of
Computational Aesthetics (CAe)
Non-Photorealistic Animation and Rendering (NPAR)
Sketch-Based Interfaces and Modeling (SBIM)

Lisbon, Portugal | May 2016

Working with Images
Painted Stained Glass
Lars Doyle and David Mould
A Benchmark Image Set for Evaluating Stylization
David Mould and Paul L. Rosin
Automatic Texture Guided Color Transfer and Colorization
Benoit Arbelot, Romain Vergne, Thomas Hurtut, and Joëlle Thollot
Parameterized Skin for Rendering Flushing Due to Exertion
Teresa Vieira
Stylization
Barycentric Shaders: Art Directed Shading Using Control Images
Ergun Akleman, S. Liu, and Donald House
Art-directed Watercolor Rendered Animation
Santiago Montesdeoca, Hock-Soon Seah, and Hans-Martin Rall
Map Style Formalization: Rendering Techniques Extension for Cartography
Sidonie Christophe, Bertrand Duménieu, Jérémie Turbet, Charlotte Hoarau, Nicolas Mellado, Jérémie Ory, Hugo Loi, Antoine Masse, Benoit Arbelot, Romain Vergne, Mathieu Brédif, Thomas Hurtut, Joëlle Thollot, and David Vanderhaeghe
Interaction
EasySketch2: A Novel Sketch-based Interface for Improving Children's Fine Motor Skills and School Readiness
Honghoe Kim, Paul Taele, Jinsil Seo, Jeffrey Liew, and Tracy Hammond
Patternista: Learning Element Style Compatibility and Spatial Composition for Ring-based Layout Decoration
Huy Quoc Phan, Jingwan Lu, Paul Asente, Antoni B. Chan, and Hongbo Fu
Interactive NPAR: What Type of Tools Should We Create?
Tobias Isenberg
StandUp: Understanding Body-Part and Gestural Preferences for First-Person 3D Modeling
Kapil Dev, Nicolas Villar, and Manfred Lau
Synthesis
Daisy Visualization for Graphs
Katayoon Etemad, Faramarz Samavati, Sheelagh Carpendale
Data-Driven Iconification
Yiming Liu, Aseem Agarwala, Jingwan Lu, and Szymon Rusinkiewicz
Stippling with Aerial Robots
Brendan Galea, Ehsan Kia, Nicholas Aird, and Paul G. Kry
Quantum Art
Alain Lioret

BibTeX (SBM16: Sketch Based Interfaces and Modeling 2016)
@inproceedings{
10.2312:exp.20161065,
booktitle = {
Sketch-Based Interfaces and Modeling},
editor = {
Yotam Gingold and Ergun Akleman
}, title = {{
EasySketch2: A Novel Sketch-based Interface for Improving Children's Fine Motor Skills and School Readiness}},
author = {
Kim, Honghoe
and
Taele, Paul
and
Seo, Jinsil
and
Liew, Jeffrey
and
Hammond, Tracy
}, year = {
2016},
publisher = {
The Eurographics Association},
ISSN = {1812-3503},
ISBN = {978-3-03868-001-7},
DOI = {
10.2312/exp.20161065}
}
@inproceedings{
10.2312:exp.20161068,
booktitle = {
Sketch-Based Interfaces and Modeling},
editor = {
Yotam Gingold and Ergun Akleman
}, title = {{
StandUp: Understanding Body-Part and Gestural Preferences for First-Person 3D Modeling}},
author = {
Dev, Kapil
and
Villar, Nicolas
and
Lau, Manfred
}, year = {
2016},
publisher = {
The Eurographics Association},
ISSN = {1812-3503},
ISBN = {978-3-03868-001-7},
DOI = {
10.2312/exp.20161068}
}

Browse

Recent Submissions

Now showing 1 - 2 of 2
  • Item
    EasySketch2: A Novel Sketch-based Interface for Improving Children's Fine Motor Skills and School Readiness
    (The Eurographics Association, 2016) Kim, Honghoe; Taele, Paul; Seo, Jinsil; Liew, Jeffrey; Hammond, Tracy; Yotam Gingold and Ergun Akleman
    Children's fine motor skills are associated with enhanced drawing skills, as well as improved creativity, self-regulation skills, and school readiness. Assessing these skills enables parents and teachers to target areas of improvement for their children, so that they are better prepared for learning and achieving once they enter school. Conventional approaches rely on psychologybased tracing and drawing tasks using pencil-and-paper and performance metrics such as timing and accuracies. However, such approaches involve human experts to manually score children's drawings and evaluate their fine motor skills, which is both time consuming and prone to human error or bias. This paper introduces our novel sketch-based educational interface, which can classify children's fine motor skills more accurately than conventional methods by automatically classifying fine motor skills through sketch recognition techniques. The interface (1) employs a fine motor skill classifier, which decides children's fine motor skills based on their drawing skills and (2) includes a pedagogical system that assists children to draw basic shapes such as alphabet letters or numbers based on developmental level and learning progress, and provides teachers and parents with information on the maturity of the children's fine motor skills that correspond to their school readiness. We evaluated both our interface and ''star drawing test'' with 70 children (3-8 years), and found that our interface determined children's fine motor skills more accurately than the conventional approach. In addition to the fine motor skill assessment, our interface served as an educational tool that benefited children in teaching them how to draw, practice, and improve their drawing skills.
  • Item
    StandUp: Understanding Body-Part and Gestural Preferences for First-Person 3D Modeling
    (The Eurographics Association, 2016) Dev, Kapil; Villar, Nicolas; Lau, Manfred; Yotam Gingold and Ergun Akleman
    There exists interfaces for 3D modeling that go beyond traditional keyboard and mouse input techniques. This paper takes a first-person paradigm of 3D modeling where a designer actively employs different body parts as part of the user interface. Specifically, we explore the body parts and corresponding gestures that users prefer for various primitive 3D shape creation and 3D manipulation tasks. Also, we investigate how virtual primitive shapes and physical primitive objects augment gestures and affect user preferences when modeling 3D shapes. The results from our study provide suggestions to guide the design of interfaces using different body parts and gestures for first-person 3D modeling.