DrawSound

Jo, Kazuhiro

doi:10.1145/1347390.1347405

Cited by 13 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In 2006, Benko et al [8] proposed five techniques to help users make small target selections on multi-touch devices. In 2008, Jo [9] proposed a sound drawing tool "DrawSound" utilizing multi-touch input technology. In 2009, Hancock et al [10] proposed an interactive paradigm based on 6DOF on multi-touch devices to achieve interaction freedom.…”

Section: Multi-touch Inputmentioning

confidence: 99%

Strategy for Improving Target Selection Accuracy in Indirect Touch Input

Xin

Liu

2020

IEICE Trans. Inf. & Syst.

View full text Add to dashboard Cite

Aiming at the problem of low accuracy of target selection in indirect touch input, an indirect multi-touch input device was designed and built. We explored here four indirect touch input techniques which were TarConstant, TarEnlarge, TarAttract, TarEnlargeAttract, and investigated their performance when subjects completing the target selection tasks through comparative experiments. Results showed that TarEn-largeAttract enabled the shortest movement time along with the lowest error rate, 2349.9ms and 10.9% respectively. In terms of learning effect, both TarAttract and TarEnlargeAttract had learning effect on movement time, which indicated that the speed of these two techniques can be improved with training. Finally, the strategy of improving the accuracy of indirect touch input was given, which has reference significance for the interface design of indirect touch input.

show abstract

Section: Multi-touch Inputmentioning

confidence: 99%

Strategy for Improving Target Selection Accuracy in Indirect Touch Input

Xin

Liu

2020

IEICE Trans. Inf. & Syst.

View full text Add to dashboard Cite

show abstract

MelodicBrush

Huang

Tang

et al. 2012

CHI '12 Extended Abstracts on Human Factors in Computing Systems

View full text Add to dashboard Cite

MelodicBrush

Huang

Tang

et al. 2012

Proceedings of the Designing Interactive Systems Conference

View full text Add to dashboard Cite

MelodicBrush is a novel system that connects two ancient art forms: Chinese ink-brush calligraphy and Chinese music. Our system uses vision-based techniques to create a digitized ink-brush calligraphic writing surface with enhanced interaction functionalities. The music generation combines cross-modal stroke-note mapping and statistical language modeling techniques into a hybrid model that generates music as a real-time, auditory response and feedback to the user's calligraphic strokes.Our system is in fact a new cross-modal musical system that endows the ancient art of calligraphy writing with a novel auditory representation to provide the users with a natural and novel artistic experience. Experiment evaluations with real users suggest that MelodicBrush is intuitive and realistic, and can also be easily used to exercise creativity and support art generation.

show abstract

DrawSound

Cited by 13 publications

References 6 publications

Strategy for Improving Target Selection Accuracy in Indirect Touch Input

Strategy for Improving Target Selection Accuracy in Indirect Touch Input

MelodicBrush

MelodicBrush

Contact Info

Product

Resources

About