Catálogo de publicaciones - libros

It is technically feasible for mobile social software such as pairing or ‘matchmaking’ systems to introduce people to others and assist information exchange. However, little is known about the social structure of many mobile communities or why they would want such pairing systems. While engaged in other work determining requirements for a mobile travel assistant we saw a potentially useful application for a pairing system to facilitate the exchange of travel information between backpackers. To explore this area, we designed two studies involving usage of a low-fidelity role prototype of a social pairing system for backpackers. Backpackers rated the utility of different pairing types, and provided feedback on the social implications of being paired based on travel histories. Practical usage of the social network pairing activity and the implications of broader societal usage are discussed.

Context-aware computing is a central concept in ubiquitous computing and many suggestions for context-aware technologies and applications have been proposed. There is, however, little evidence on how these concepts and technologies play out in a real-world setting. In this paper we describe and discuss our experiences from an ongoing deployment of a suite of context-aware technologies and applications in a hospital environment, including a context-awareness infrastructure, a location tracking system, and two context-aware applications running on interactive wall displays and mobile phones. Based on an analysis of the use of these systems, we observe that many of the ideas behind context-aware computing are valid, and that the context-aware applications are useful for clinicians in their work. By reflecting on the nature of the designed context-aware technologies, we present a model which states that the triggering of context-awareness actions depend upon the accuracy of the sensed context information, the degree to which you know which action to perform in a given situation, and the consequence of performing the action.

One of the challenges for ubiquitous computing is to design systems that can be both understood by their users and at the same time understand the users themselves. As information and its meaning becomes more associated with the communities that provide and use it, how will it be possible to build effective systems for these users? We have been examining these issues via ethnographic analysis of the information and community supporting system that we have developed and employed at conference events. This paper presents initial analysis and suggests greater focus on the interaction between members of micro-communities of users in future ubicomp research.

A motivation behind much UbiComp research has been to make our lives convenient, comfortable and informed, following in the footsteps of Weiser’s calm computing vision. Three themes that have dominated are context awareness, ambient intelligence and monitoring/tracking. While these avenues of research have been fruitful their accomplishments do not match up to anything like Weiser’s world. This paper discusses why this is so and argues that is time for a change of direction in the field. An alternative agenda is outlined that focuses on engaging rather than calming people. Humans are very resourceful at exploiting their environments and extending their capabilities using existing strategies and tools. I describe how pervasive technologies can be added to the mix, outlining three areas of practice where there is much potential for professionals and laypeople alike to combine, adapt and use them in creative and constructive ways.

The pervasive nature of multimedia recording devices enables novel pervasive multimedia applications with automatic, inexpensive, and ubiquitous identification and locationing abilities. We present the design and implementation of Ferret, a scalable system for locating nomadic objects augmented with RFID tags and displaying them to a user in real-time. We present two alternative algorithms for refining a postulation of an object’s location using a stream of noisy readings from an RFID reader: an online algorithm for real-time use on a mobile device, and an offline algorithm for use in post-processing applications. We also present methods for detecting when nomadic objects move and how to reset the algorithms to restart the refinement process. An experimental evaluation of the Ferret prototype shows that (i) Ferret can refine object locations to only 1% of the reader’s coverage region in less than 2 minutes with small error rate (2.22%); (ii) Ferret can detect nomadic objects with 100% accuracy when the nomadic distances exceed 20cm; and (iii) Ferret works with a variety of user mobility patterns.

Using existing communications infrastructure, such as 802.11 and GSM, researchers have demonstrated effective indoor localization. Inspired by these previous approaches, and recognizing some limitations of relying on infrastructure users do not control, we present an indoor location system that uses an even more ubiquitous domestic infrastructure—the residential powerline. PowerLine Positioning (PLP) is an inexpensive technique that uses fingerprinting of multiple tones transmitted along the powerline to achieve sub-room-level localization. We describe the basics behind PLP and demonstrate how it compares favorably to other fingerprinting techniques.

In this paper, we propose a simulator for facilitating reliable and inexpensive development of ubiquitous applications where each application software controls a lot of information appliances based on the state of external environment, user’s contexts and preferences. The proposed simulator realistically reproduces behavior of application software on virtual devices in a virtual 3D space. For this purpose, the simulator provides functions to facilitate deployment of virtual devices in a 3D space, simulates communication among the devices from MAC level to application level, and reproduces the change of physical quantities (e.g., temperature) caused by devices (e.g., air conditioners). Also, we keep software portability between virtual devices and real devices. As the most prominent function of the simulator, we provide a systematic and visual testing method for testing whether a given application software satisfies specified requirements.

Effective ubiquitous computing applications need to integrate users’ personal devices and data with the devices and resources they encounter around them. Previous work addressed this problem by simply enabling the user to take all of their data with them wherever they go. In this paper, we present a more flexible approach: the “instant matchmaker”, a personal device that allows a user to seamlessly and securely connect his local computing environment with his other personal resources, wherever they are. The matchmaker provides an intuitive user experience, while simultaneously enabling extremely fine-grained control over access to resources. We have implemented a cellphone-based matchmaker and explored its use in a secure media sharing application. The matchmaker concept, however, is general, and can be used to enable a range of appealing and secure ubicomp applications.

We present WISP, a wireless, battery-free platform for sensing and computation that is powered and read by a standards compliant Ultra-High Frequency (UHF) RFID reader. To the reader, the WISP appears to be an ordinary RFID tag. The WISP platform includes a general-purpose programmable flash microcontroller and implements the bi-directional communication primitives required by the Electronic Product Code (EPC) RFID standard, which allows it to communicate arbitrary sensor data via an EPC RFID reader by dynamically changing the ID it presents to the reader. For each 64 bit “packet,” the WISP’s microcontroller dynamically computes the 16-bit CRC that the EPC standard requires of valid packets. Because the WISP device can control all bits of the presented ID, 64 bits of sensor data can be communicated with a single RFID read event. As an example of the system in operation, we present 13 hours of continuous-valued light-level data measured by the device. All the measurements were made using power harvested from the RFID reader. No battery, and no wired connections (for either power or data) were used. As far as we are aware, this paper reports the first fully programmable computing platform that can operate using power transmitted from a long-range (UHF) RFID reader and communicate arbitrary, multi-bit data in response to a single RFID reader poll event.

We previously developed building blocks to enable end-users to construct customized sensor-based embedded systems to help monitor and control a users’ environment. Because design objectives, like battery lifetime, reliability, and responsiveness, vary across applications, these building blocks have software-configurable parameters that control features like operating voltage, frequency, and communication baud rate. The parameters enable the same blocks to be used in diverse applications, in turn enabling mass-produced and hence low-cost blocks. However, tuning block parameters to an application is hard. We thus present an automated approach, wherein an end-user simply defines objectives using an intuitive graphical method, and our tool automatically tunes the parameter values to those objectives. The automated tuning improved satisfaction of design objectives, compared to a default general-purpose block configuration, by 40% on average, and by as much as 80%. The tuning required only 10-20 minutes of end-user time for each application.