The orienting mouse: An input device with attitude

This paper presents a modified computer mouse, the Orienting Mouse, which delivers orientation as an additional dimension of input; when the mouse is moved on a flat surface it reports, in addition to the conventional x, y translation, angular rotation of the device in the x, y plane. The orienting mouse preserves important properties of the standard mouse; all measurements are relative and movement is tracked only while the mouse is on its flat surface. If the user lets go of the mouse, leaving it on the surface, its position and orientation do not change until it is touched again. Picking the mouse up and putting it down in a different orientation leaves the angle and position unchanged. While the concept of sensing mouse rotation is not new, our work focuses on movement and navigation in 3D, rather than on precision positioning tasks. We describe a number of sample applications developed to test its effectiveness in this context. Specific features exploited and described include (i) an algorithm for calculating the mouse angle which cancels drift between the two sensors, and (ii) the use of angular gearing which avoids unnatural and uncomfortable hand positions when moving through large angles; informal user testing validates this idea

Patents, Entrepreneurship and Performance

This paper provides an overview of a new database that uses intellectual property data to track the innovative activity of firms in the UK. The paper looks at the extent and nature of patenting activity, focusing on micro firms and SMEs. Over the period 2000 to 2007, SME patenting has increased whereas large firm patenting has fallen and micro firm patenting has been roughly con- stant. Most micro and SMEs patent while relatively young (aged ten or less) and this tendency is becoming more pronounced over time. The paper provides a descriptive analysis on micro firms and SMEs that become high growth firms (defined as having greater than 20 percent growth per annum). Overall, 28.0 percent of young micro and SMEs achieve high growth (over 2002 to 2007). In comparison, 29.4 percent of young micro or SMEs that patent achieve high growth. This difference is much greater for firms in the high-tech industries. Moreover, the analysis shows that due to the skewed nature of the firm-level growth distribution, standard conditional mean estimators may fail to uncover important differences in the association between patenting and firm growth across the conditional growth distribution.Firm growth, patents

The economic impact of consumer copyright exceptions: a literature review

Advances in the technology available to consumers have fundamentally altered the relationship between authors, rights-holders and consumers with regard to copyrighted creative works. The copyright system in the UK is undergoing a gradual process of reform to reflect this new reality. In 2006, Andrew Gowers, a former editor of the Financial Times, presented a report into the state of intellectual property in the U.K. Among his policy recommendations were three proposed changes to the copyright exceptions system which alter the way in which consumers can interact with copyrighted works. Gowers proposed introducing copyright exceptions for: - Format shifting, for instance the transfer of a piece of music from a CD to an mp3 player. - Parody, caricature and pastiche. - Creative, transformative or derivative works. In our context, this definition includes user-generated content. Our review examines the existing literature on the possible economic effects of these proposed changes to the copyright exceptions system, specifically whether the introduction of these proposed changes would cause economic damage to rights-holders. Whilst the economic issues surrounding copyright infringement via file-sharing and commercial "mash-ups" are interesting and important, our review is focused solely on copyright

Power and energy visualization for the micro-management of household electricity consumption

The paper describes a pilot system for the detailed management of domestic electricity consumption aimed at minimizing demand peaks and consumer cost. Management decisions are made both interactively by consumers themselves, and where practical, automatically by computer. These decisions are based on realtime pricing and availability information, as well as current and historic usage data. The benefits of the energy strategies implied by such a system are elaborated, showing the potential for significant peak demand reduction and slowing of the need for growth in generation capacity. An overview is provided of the component technologies and interaction methods we have designed, but the paper focuses on the communication of real-time information to the consumer through a combination of specific and ambient visualizations. There is a need for both overview information (eg how much power is being used right now; how much energy have we used so far today; what does it cost?) and information at the point-of-use (is it OK to turn this dryer on now, or should I wait until later?). To assist the design of these visualizations, a survey is underway aimed at establishing people's understanding of power and energy concepts

A simulation study of the use of electric vehicles as storage on the New Zealand electricity grid

This paper describes a simulation to establish the extent to which reliance on non-dispatchable energy sources, most typically wind generation, could in the future be extended beyond received norms, by utilizing the distributed battery capacity of an electric vehicle fleet. The notion of exploiting the distributed battery capacity of a nation’s electric vehicle fleet as grid storage is not new. However, this simulation study specifically examines the potential impact of this idea in the New Zealand context. The simulation makes use of real and projected data in relation to vehicle usage, full potential non-dispatchable generation capacity and availability, taking into account weather variation, and typical daily and seasonal patterns of usage. It differs from previous studies in that it is based on individual vehicles, rather than a bulk battery model. At this stage the analysis is aggregated, and does not take into account local or regional flows. A more detailed analysis of these localized effects will follow in subsequent stages of the simulation

Refining personal and social presence in virtual meetings

Virtual worlds show promise for conducting meetings and conferences without the need for physical travel. Current experience suggests the major limitation to the more widespread adoption and acceptance of virtual conferences is the failure of existing environments to provide a sense of immersion and engagement, or of ‘being there’. These limitations are largely related to the appearance and control of avatars, and to the absence of means to convey non-verbal cues of facial expression and body language. This paper reports on a study involving the use of a mass-market motion sensor (Kinect™) and the mapping of participant action in the real world to avatar behaviour in the virtual world. This is coupled with full-motion video representation of participant’s faces on their avatars to resolve both identity and facial expression issues. The outcomes of a small-group trial meeting based on this technology show a very positive reaction from participants, and the potential for further exploration of these concepts

Using hidden Markov models for iterative non-intrusive appliance monitoring

Non-intrusive appliance load monitoring is the process of breaking down a household’s total electricity consumption into its contributing appliances. In this paper we propose an approach by which individual appliances are iteratively separated from the aggregate load. Our approach does not require training data to be collected by sub-metering individual appliances. Instead, prior models of general appliance types are tuned to specific appliance instances using only signatures extracted from the aggregate load. The tuned appliance models are used to estimate each appliance’s load, which is subsequently subtracted from the aggregate load. We evaluate our approach using the REDD data set, and show that it can disaggregate 35% of a typical household’s total energy consumption to an accuracy of 83% by only disaggregating three of its highest energy consuming appliances