Conference
Interactive Tabletops and Surfaces
About: Interactive Tabletops and Surfaces is an academic conference. The conference publishes majorly in the area(s): Computer science & Gesture. Over the lifetime, 490 publications have been published by the conference receiving 10317 citations.
Papers
7 Nov 2010
TL;DR: In this article, the authors show how proxemics can regulate implicit and explicit interaction; trigger such interactions by continuous movement or by movement of people and devices in and out of discrete proxemic regions; and interpret and exploit people's directed attention to other people and objects.
Abstract: In the everyday world, much of what we do is dictated by how we interpret spatial relationships, or proxemics. What is surprising is how little proxemics are used to mediate people's interactions with surrounding digital devices. We imagine proxemic interaction as devices with fine-grained knowledge of nearby people and other devices -- their position, identity, movement, and orientation -- and how such knowledge can be exploited to design interaction techniques. In particular, we show how proxemics can: regulate implicit and explicit interaction; trigger such interactions by continuous movement or by movement of people and devices in and out of discrete proxemic regions; mediate simultaneous interaction of multiple people; and interpret and exploit people's directed attention to other people and objects. We illustrate these concepts through an interactive media player running on a vertical surface that reacts to the approach, identity, movement and orientation of people and their personal devices.
406 citations
7 Nov 2010
TL;DR: Using a depth-sensing camera to detect touch has significant advantages: first, the interactive surface need not be instrumented, and this approach allows touch sensing on non-flat surfaces, and information about the shape of the users and their arms and hands above the surface may be exploited in useful ways.
Abstract: We explore the application of depth-sensing cameras to detect touch on a tabletop. Limits of depth estimate resolution and line of sight requirements dictate that the determination of the moment of touch will not be as precise as that of more direct sensing techniques such as capacitive touch screens. However, using a depth-sensing camera to detect touch has significant advantages: first, the interactive surface need not be instrumented. Secondly, this approach allows touch sensing on non-flat surfaces. Finally, information about the shape of the users and their arms and hands above the surface may be exploited in useful ways, such as determining hover state, or that multiple touches are from same hand or from the same user. We present techniques and findings using Microsoft Kinect.
327 citations
11 Nov 2012
TL;DR: This paper interviews participants to learn about scenarios in which they would like to use a web browser on their living room TV, and conducts an interaction-elicitation study in which users suggested speech and gesture interactions for fifteen common web browser functions.
Abstract: New sensing technologies like Microsoft's Kinect provide a low-cost way to add interactivity to large display surfaces, such as TVs. In this paper, we interview 25 participants to learn about scenarios in which they would like to use a web browser on their living room TV. We then conduct an interaction-elicitation study in which users suggested speech and gesture interactions for fifteen common web browser functions. We present the most popular suggested interactions, and supplement these findings with observational analyses of common gesture and speech conventions adopted by our participants. We also reflect on the design of multimodal, multi-user interaction-elicitation studies, and introduce new metrics for interpreting user-elicitation study findings.
155 citations
23 Nov 2009
TL;DR: The Collaborative Learning Mechanisms framework is presented and it is revealed that what might be considered undesirable or harmful interactions and intrusions in general collaborative settings, might be beneficial for collaborative learning.
Abstract: The potential of tabletops to enable groups of people to simultaneously touch and manipulate a shared tabletop interface provides new possibilities for supporting collaborative learning. However, findings from the few studies carried out to date have tended to show small or insignificant effects compared with other technologies. We present the Collaborative Learning Mechanisms framework used to examine the coupling of verbal interactions and physical actions in collaboration around the tabletop and reveal subtle mechanisms at play. Analysis in this way revealed that what might be considered undesirable or harmful interactions and intrusions in general collaborative settings, might be beneficial for collaborative learning. We discuss the implications of these findings for how tabletops may be used to support children's collaboration, and the value of considering verbal and physical aspects of interaction together in this way.
144 citations
6 Oct 2013
TL;DR: A novel sensing technique based on transdermal low-frequency ultrasound propagation is proposed, which enables pressure-aware continuous touch sensing as well as arm-grasping hand gestures on the human body.
Abstract: Recent work has shown that the body provides an interesting interaction platform. We propose a novel sensing technique based on transdermal low-frequency ultrasound propagation. This technique enables pressure-aware continuous touch sensing as well as arm-grasping hand gestures on the human body. We describe the phenomena we leverage as well as the system that produces ultrasound signals on one part of the body and measures this signal on another. The measured signal varies according to the measurement location, forming distinctive propagation profiles which are useful to infer on-body touch locations and on-body gestures. We also report on a series of experimental studies with 20 participants that characterize the signal, and show robust touch and gesture classification along the forearm.
130 citations
Performance Metrics
| Year | Papers |
|---|---|
| 2015 | 83 |
| 2014 | 77 |
| 2013 | 86 |
| 2012 | 65 |
| 2011 | 62 |
| 2010 | 76 |