DART: a toolkit for rapid design exploration of augmented reality experiences
By B. MacIntyre, Maribeth Gandy Coleman, Steven W. Dow, J. Bolter. ACM Symposium on User Interface Software and Technology, 2004
354 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/aeeada23ea0ba774c1af587cb13fe3548e98fb83
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Gun A. Lee
- Adrian Clark
- Brian D. Hall
- Michael Nebeling
- Maximilian Speicher
- Mark Billinghurst
- Ana Javornik
In Human-Computer Interaction
- Gun A. Lee
- Adrian Clark
- Brian D. Hall
- Michael Nebeling
- Maximilian Speicher
- Mark Billinghurst
- Erik Stolterman
- Josh D. Tenenberg
Citations in the corpus
- A Survey of Augmented Reality (2015, methodology): “One of the good examples of plug-in based AR authoring tool is the Designers AR Toolkit (DART)22 [MacIntyre et al., 2004].”
- The anatomy of prototypes: Prototypes as filters, prototypes as manifestations of design ideas (2008, background): “2006; McCurdy et al. 2006]. For example, McCurdy et al. [2006] suggest that such a binary distinction should be reexamined. They demonstrate the effectiveness of more sophisticated prototyping, namely a “mixed-fidelity” approach— i.e., a prototype that combines low-fidelity and high-fidelity on diff”
- What is Mixed Reality? (2019, background): “Interaction is a key aspect in MR, which can be divided into implicit and explicit [38].”