Most of the work on context-aware systems has focused on the context of time, location, and activity. Previous studies on the context flow have been primarily conducted on a qualitative basis. This paper proposes a ne...
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As the smartphone has become more widely available, we easily take photos and upload them online to share with others. Photographs are abundant, but they are not used properly, even though they provide meaningful info...
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To address the increasing functionality (or information) overload of smartphones, prior research has explored a variety of methods to extend the input vocabulary of mobile devices. In particular, body tapping has been...
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ISBN:
(纸本)9781450345316
To address the increasing functionality (or information) overload of smartphones, prior research has explored a variety of methods to extend the input vocabulary of mobile devices. In particular, body tapping has been previously proposed as a technique that allows the user to quickly access a target functionality by simply tapping at a specific location of the body with a smartphone. Though compelling, prior work often fell short in enabling users' unconstrained tapping locations or behaviors. To address this problem, we developed a novel recognition method that combines both offline-before the system sees any user-defined gestures-and online learning to reliably recognize arbitrary, user-defined body tapping gestures, only using a smartphone's built-in sensors. Our experiment indicates that our method significantly outperforms baseline approaches in several usage conditions. In particular, provided only with a single sample per location, our accuracy is 30.8% over an SVM baseline and 24.8% over a template matching method. Based on these findings, we discuss how our approach can be generalized to other user-defined gesture problems.
We present waveSense, a low power hand gestures recognition system suitable for mobile and wearable devices. A novel Selective Volumetric Illumination (SVI) approach using offthe- shelf infrared (IR) emitters and non-...
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Capacitive touch screens are widely used in various products. Touch screens have an advantage that an input system and output system can be integrated into a single module. We consider this advantage could make it pos...
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We propose a technique that overlays natural images on the real world using the information from multiple flashlight de- vices. We focus on finding areas of overlapping lights in a multiple light-source scenario and o...
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We introduce Rovables, a miniature robot that can move freely on unmodified clothing. The robots are held in place by magnetic wheels, and can climb vertically. The robots are un-tethered and have an onboard battery, ...
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ISBN:
(纸本)9781450345316
We introduce Rovables, a miniature robot that can move freely on unmodified clothing. The robots are held in place by magnetic wheels, and can climb vertically. The robots are un-tethered and have an onboard battery, microcontroller, and wireless communications. They also contain a low-power localization system that uses wheel encoders and IMU, allowing Rovables to perform limited autonomous navigation on the body. In the technical evaluations, we found that Rovables can operate continuously for 45 minutes and can carry up to 1.5N. We propose an interaction space for mobile on-body devices spanning sensing, actuation, and interfaces, and develop application scenarios in that space. Our applications include on-body sensing, modular displays, tactile feedback and interactive clothing and jewelry.
Recent advances in materials science research have enabled the production of highly stretchable sensors and displays. However, such technologies are not yet accessible to nonexpert makers. We present a novel and inexp...
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ISBN:
(纸本)9781450345316
Recent advances in materials science research have enabled the production of highly stretchable sensors and displays. However, such technologies are not yet accessible to nonexpert makers. We present a novel and inexpensive fabrication method for creating Stretchis, highly stretchable userinterfaces that combine sensing capabilities and visual output. We use Polydimethylsiloxan (PDMS) as the base material for a Stretchi and show how to embed stretchable touch and proximity sensors and stretchable electroluminescent displays. Stretchis can be ultra-thin (approximate to 200 mu m), flexible, and fully customizable, enabling non-expert makers to add interaction to elastic physical objects, shape-changing surfaces, fabrics, and the human body. We demonstrate the usefulness of our approach with three application examples that include ubiquitous computing, wearables and on-skin interaction.
This paper describes the use of walk-in-place (WIP) interface to control the speed of 360-degree panoramic virtual reality (VR) video on a head-mounted display and through a pilot user study, the effect of using this ...
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ISBN:
(纸本)9781450340687
This paper describes the use of walk-in-place (WIP) interface to control the speed of 360-degree panoramic virtual reality (VR) video on a head-mounted display and through a pilot user study, the effect of using this interface with respect to the amount of simulator sickness and presence in the environment felt by the user is evaluated. The results are compared with traditional 360-degree VR video experience.
Design plays an important role in adoption of apps. App design, however, is a complex process with multiple design activities. To enable data-driven app design applications, we present interaction mining - capturing b...
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ISBN:
(纸本)9781450345316
Design plays an important role in adoption of apps. App design, however, is a complex process with multiple design activities. To enable data-driven app design applications, we present interaction mining - capturing both static (UI layouts, visual details) and dynamic (user flows, motion details) components of an app's design. We present ERICA, a system that takes a scalable, human-computer approach to interaction mining existing Android apps without the need to modify them in any way. As users interact with apps through ERICA, it detects UI changes, seamlessly records multiple data-streams in the background, and unifies them into a user interaction trace (Figure 1). Using ERICA we collected interaction traces from over a thousand popular Android apps. Leveraging this trace data, we built machine learning classifiers to detect elements and layouts indicative of 23 common user flows. user flows are an important component of user experience (UX) design and consists of a sequence of UI states that represent semantically meaningful tasks such as searching or composing. With these classifiers, we identified and indexed more than 3000 flow examples, and released the largest online search engine of user flows in Android apps.
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