Designing effective step-by-step assembly instructions

Agrawala, Maneesh; Phan, Doantam; Heiser, Julie; Haymaker, John; Klingner, Jeff; Hanrahan, Pat; Tversky, Barbara

doi:10.1145/1201775.882352

Cited by 82 publications

(50 citation statements)

References 16 publications

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“…A number of digital illustration systems provide tools for creating exploded views [Adobe Inc. ; Agrawala et al 2003;Driskill and Cohen 1995;Li et al 2004;Rist et al 1994]. A limitation of most of these systems is that the user must manually specify the explosion directions and blocking relationships for all parts in the model.…”

Section: Related Workmentioning

confidence: 99%

“…A limitation of most of these systems is that the user must manually specify the explosion directions and blocking relationships for all parts in the model. A notable exception is the work of Agrawala et al [2003], whose techniques for generating step-by-step assembly instructions automatically determine the order and directions in which parts can explode without violating blocking constraints. We present an automatic algorithm for computing exploded views that extends this work to take into account part hierarchies and to handle the most common cases in which parts interlock.…”

Section: Related Workmentioning

confidence: 99%

“…We present an automatic algorithm for computing exploded views that extends this work to take into account part hierarchies and to handle the most common cases in which parts interlock. Most existing systems generate exploded views that are either meant to be viewed statically [Driskill and Cohen 1995;Rist et al 1994] or provide limited interactive viewing controls (e.g., a single knob for expanding the entire exploded view [Agrawala et al 2003]). Since a key goal of our system is to enable users to interactively explore complex 3D objects, we provide a richer set of interactions.…”

Section: Related Workmentioning

confidence: 99%

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Automated generation of interactive 3D exploded view diagrams

et al. 2008

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We present a system for creating and viewing interactive exploded views of complex 3D models. In our approach, a 3D input model is organized into an explosion graph that encodes how parts explode with respect to each other. We present an automatic method for computing explosion graphs that takes into account part hierarchies in the input models and handles common classes of interlocking parts. Our system also includes an interface that allows users to interactively explore our exploded views using both direct controls and higher-level interaction modes.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Automated generation of interactive 3D exploded view diagrams

et al. 2008

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“…Agrawala et al [2003] proposed a method to generate psychologically acute assembly instructions. Storyboarding illustration uses a similar notation to cartoon.…”

Section: Related Workmentioning

confidence: 99%

Motion cues for illustration of skeletal motion capture data

Bouvier-Zappa

Ostromoukhov

Poulin

2007

Proceedings of the 5th International Symposium on Non-Photorealistic Animation and Rendering

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Figure 1: Non-photorealistic illustration of motion capture sequences: (a) spin kick, (b) dancing pirouette, (c) cart wheel, (d) bending-over. Each motion is emphasized using motion arrows, noise waves, and/or stroboscopic motion. AbstractThere are many applications for which it is necessary to illustrate motion in a static image using visual cues which do not represent a physical entity in the scene, yet are widely understood to convey motion. For example, consider the task of illustrating the desired movements for exercising, dancing, or a given sport technique. Traditional artists have developed techniques to specify desired movements precisely (technical illustrators) and suggest motion (cartoonists) in an image.In this paper, we present an interactive system to synthesize a 2D image of an animated character by generating artist-inspired motion cues derived from 3D skeletal motion capture data. The primary cues include directed arrows, noise waves, and stroboscopic motion. First, the user decomposes the animation into short sequences containing individual motions which can be represented by visual cues. The system then allows the user to determine a suitable viewpoint for illustrating the movement, to select the proper level in the joint hierarchy, as well as to fine-tune various controls for the depiction of the cues themselves. While the system does provide adapted default values for each control, extracted from the motion capture data, it allows fine-tuning for greater expressiveness. Moreover, these cues are drawn in real time, and maintain a coherent display with changing viewpoints.We demonstrate the benefit of our interactive system on various motion capture sequences.

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“…Agrawala et al [1] described an approach for visually explaining the construction of 3D objects with the help of explosion views.…”

Section: Process Visualizationmentioning

confidence: 99%

Interconnected media for human-centered understanding

Einsfeld

Ebert

Wolle

2007

Proceedings of the International Workshop on Human-Centered Multimedia

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Today, there are many systems with large amounts of complex data sets. Visualizing these systems in a way that enlightens the user and provides a profound understanding of the respective information space is one of the big information visualization research challenges. Keim [10] states that it is no longer possible to display an overview of these systems as proposed in Shneiderman's information seeking mantra [18].To overcome this incapacity and to provide a solution to the dilemma of time multiplexing-vs. space multiplexing techniques, we propose the context-sensitive use of a collection of animated 3D metaphors. These metaphors are integrated in a flexible framework called HANNAH. This provides the possibility to interconnect media of various types in order to bridge the semantic gab as required for humancentered applications according to Elgammal [6].

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Designing effective step-by-step assembly instructions

Cited by 82 publications

References 16 publications

Automated generation of interactive 3D exploded view diagrams

Automated generation of interactive 3D exploded view diagrams

Motion cues for illustration of skeletal motion capture data

Interconnected media for human-centered understanding

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