SmartSkin: an infrastructure for freehand manipulation on interactive surfaces
By J. Rekimoto. International Conference on Human Factors in Computing Systems, 2002
782 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/735843667c9f0dc213d3985d72098e7917acca9c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Andrew D. Wilson
- Jacob O. Wobbrock
- Jefferson Y. Han
- Meredith Ringel Morris
- Pranav Mistry
- Pattie Maes
- Li Chang
- Chia Shen
In Computer Vision and Pattern Recognition
- Meredith Ringel Morris
- Jacob O. Wobbrock
- Andrew D. Wilson
- Terry Winograd
- Pranav Mistry
- Pattie Maes
- Li Chang
- Chia Shen
In Human-Computer Interaction
- Andrew D. Wilson
- Meredith Ringel Morris
- Jacob O. Wobbrock
- Jefferson Y. Han
- Terry Winograd
- Pattie Maes
- Pranav Mistry
- Li Chang
Citations in the corpus
- Exploring the effects of group size and table size on interactions with tabletop shared-display groupware (2004, neutral): “Recent technology developments in multi-user input devices (e.g., DiamondTouch [4], SmartSkin [13], and DViT [22]) have made it easier to build tabletop shared-display groupware applications.”
- System Guidelines for Co-located, Collaborative Work on a Tabletop Display (2003, background): “Other tables also incorporate a vertical display attached to one side of the table, which leaves only one side of the table with optimal viewing conditions (e.g., Rauterberg et al., 1997; Koike et al., 2000; Patten et al., 2001; Rekimoto, 2002).”
- WUW - wear Ur world: a wearable gestural interface (2009, methodology): “The tiny projector is connected to a laptop or mobile device and projects visual information enabling surfaces, walls and physical objects around us to be used as interfaces; while the camera tracks user hand gestures using simple computer-vision based techniques.”
- User-defined gestures for surface computing (2009, background): “These findings disagree with many prior tabletop systems that have used designer-made gestures differentiated only on the basis of the number of fingers used [14,17,21,27].”
- As-rigid-as-possible shape manipulation (2005, methodology): “Our technique can be useful in standard dragging operations with a mouse, but it is particularly interesting when using a multiplepoint input device such as a SmartSkin touchpad [Rekimoto 2002] (Figure 1).”
- Multi-finger and whole hand gestural interaction techniques for multi-user tabletop displays (2003, background): “Recognizing the value of tables in collaborative activity, researchers have begun exploring the use of computationally enabled tabletops [3, 5, 17, 18, 20-24].”
- Low-cost multi-touch sensing through frustrated total internal reflection (2005, background): “Initial investigations, though sparse due to the prohibitive availability of these devices, nonetheless reveal exciting potential for novel interaction techniques [1][2][11][12][19][23][26][27].”
- PlayAnywhere: a compact interactive tabletop projection-vision system (2005, background): “Finally, there are a number of systems which embed sensing electronics into the surface itself [6, 24].”
- DiamondSpin: an extensible toolkit for around-the-table interaction (2004, background): “INTRODUCTION Even though the idea of computational artifacts for colocated collaboration has been proposed before [15,16], only recently have advances in multi-user touch input and display technologies, such as DiamondTouch [3], SmartSkin [9], and DViT [14], opened up the possibility of new form fac”
- Cooperative gestures: multi-user gestural interactions for co-located groupware (2006, background): “Several systems [7, 22, 24, 38, 40, 41] explore gesture interactions with tabletops, but none of these systems interpret the interactions of multiple users together as a single, cooperative gesture.”
- PneUI: pneumatically actuated soft composite materials for shape changing interfaces (2013, background): “In contrast, inspired by marine organisms that sense and accomplish drastic body deformation and locomotion by soft actuators [28], we take a holistic view of the material itself and envision a composite material that integrates input sensing and active shape output.”
- Pressure widgets (2004, background): “Examples of these are Rekimoto’s SmartSkin [12], and Mitsubishi’s DiamondTouch table [5].”