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With the rapid evolution of mobile devices, smart-phones in particular, comes the ability to create new experiences that enhance the way we see, interact, and express ourselves, within the world that surrounds us. We can blend data from our senses and our devices in myriad ways that simply weren't possible before. This workshop explores the current and future state of Mobile Augmented Reality. We will promote discussion about issues and opportunities in the space. We will explore potential for innovation and opportunities for collaboration between researchers working on augmented reality. We envision a lively discussion on the different approaches, challenges and benefits that may arise from the use of mobile Augmented Reality in the near future from an HCI perspective. We also aim at fostering new collaborations and establishing a research agenda within the field of mobile augmented reality.
Power consumption is measured in W and Wh, but what do these units mean? Water consumption can easily be understood, as we all know what a liter of water looks like. Common power meters, however, rely on the physical units or their translation to costs as display. We classified existing displays and ambient visualizations in a taxonomy that focuses on the characteristics of power consumption displays. We adapted representatives of the different categories of displays to an on-outlet display and compared these using a combination of soft- and hardware prototyping. Results indicate that ambient visualizations make it easier to understand power consumption.
User feedback for deployed software systems ranges from simple one-bit-feedback to full-blown bug reports. While detailed bug reports are very helpful for the developers to track down problems, the expertise and commitment required from the user is high. We analyzed existing user report systems and propose a flexible and independent hard- and software architecture to collect user feedback. We report our results from a preliminary two-week user study testing the system in the field and discuss challenges and solutions for the collection of multiple levels of user feedback through different modalities.
We present Pinstripe, a textile user interface element for eyes-free, continuous value input on smart garments that uses pinching and rolling a piece of cloth between your fingers. The input granularity can be controlled in a natural way by varying the amount of cloth pinched. Pinstripe input elements physically consist of fields of parallel conductive lines sewn onto the fabric. This way, they can be invisible, and can be included across large areas of a garment. Pinstripe also addresses several problems previously identified in the placement and operation of textile UI elements on smart clothing. Two user studies evaluate ideal placement and orientation of Pinstripe elements on the users' garments as well as acceptance and perceived ease of use of this novel textile input technique.
Enabling fair and privacy-preserving applications using reconciliation protocols on ordered sets
(2011)
Fair and privacy-preserving reconciliation protocols on ordered sets have been introduced recently. Despite the fact that these protocols promise to have a great impact in a variety of applications, so far their practical use has been explored to a limited extent only. This paper addresses this gap. As main contributions, this paper identifies e-voting, auctions, event scheduling, and policy reconciliation as four far-reaching areas of application and shows how fair and privacy-preserving reconciliation protocols can be used effectively in these contexts.
In this paper, we introduce the first protocols for multi-party, privacy-preserving, fair reconciliation of ordered sets. Our contributions are twofold. First, we show that it is possible to extend the round-based construction for fair, two-party privacy-preserving reconciliation of ordered sets to multiple parties using a multi-party privacy-preserving set intersection protocol. Second, we propose new constructions for fair, multi-party, privacy-preserving reconciliation of ordered sets based on multiset operations. We prove that all our protocols are privacy-preserving in the semi-honest model. We furthermore provide a detailed performance analysis of our new protocols and show that the constructions based on multisets generally outperform the round-based approach.
In this paper, we introduce the first protocols for multi-party, privacy-preserving, fair reconciliation of ordered sets. Our contributions are twofold. First, we show that it is possible to extend the round-based construction for fair, two-party privacy-preserving reconciliation of ordered sets to multiple parties using a multi-party privacy-preserving set intersection protocol. Second, we propose new constructions for fair, multi-party, privacy-preserving reconciliation of ordered sets based on multiset operations. We prove that all our protocols are privacy-preserving in the semi-honest model. We furthermore provide a detailed performance analysis of our new protocols and show that the constructions based on multisets generally outperform the round-based approach.
The magnetic forces of fringe magnetic fields of MR systems on ferromagnetic components can impose a severe patient, occupational health and safety hazard. MRI accidents are listed as number 9 of the top 10 risks in modern medicine. With the advent of ultrahigh field MR systems including passively shielded magnet versions, this risk, commonly known as the missile or projectile effect is even more pronounced. A strategy employing magnetic field sensors which can be attached to ferromagnetic objects that are commonly used in a clinical environment is conceptually appealing for the pursuit of reducing the risk of ferromagnetic projectile accidents.
