DRIVING DOWN THE VIRTUAL BROADWAY: TESTING THE FEASIBILITY OF EDUCATING YOUNG DRIVERS IN VIRTUAL WORLDS

The Clemson University Automotive Safety Research Institute funded the creation of a three-dimensional virtual representation of an established teen driver education program. This virtual safe driving program was created within the public virtual world of Second Life. The overall objective of this project was to explore the use of virtual worlds as potential mediums for teen driver education. The specific objectives of this study were: (1) to adapt and translate the Petty Safe Driving Program curriculum into a virtual world; (2) to create a virtual learning environment that can exist as an engaging, entertaining, and educational program addition; (3) to conduct a series of tests within the virtual world in order to determine if the learning environment is effective for teaching the desired safe driving knowledge; (4) to determine if knowledge acquisition is similar or dissimilar across delivery methods; (5) to use this gathered information to investigate the feasibility of teaching teens safe driving knowledge and practices in the virtual world as well as to help direct future developments on this project. It was found that the virtual safe driving program was effective in imparting a degree of safe driving knowledge over a relatively short period of time. It was also found that the real world program outperformed the virtual program in regards to safe driving knowledge after exposure. However, this may be due in part to limitations of this study. These findings also shed some light on the kinds of design principles that may be better suited to foster effective virtual world learning

A Multi-Objective Approach to Tactical Maneuvering Within Real Time Strategy Games

The real time strategy (RTS) environment is a strong platform for simulating complex tactical problems. The overall research goal is to develop artificial intelligence (AI) RTS planning agents for military critical decision making education. These agents should have the ability to perform at an expert level as well as to assess a players critical decision-making ability or skill-level. The nature of the time sensitivity within the RTS environment creates very complex situations. Each situation must be analyzed and orders must be given to each tactical unit before the scenario on the battlefield changes and makes the decisions no longer relevant. This particular research effort of RTS AI development focuses on constructing a unique approach for tactical unit positioning within an RTS environment. By utilizing multiobjective evolutionary algorithms (MOEAs) for finding an \optimal positioning solution, an AI agent can quickly determine an effective unit positioning solution with a fast, rapid response. The development of such an RTS AI agent goes through three distinctive phases. The first of which is mathematically describing the problem space of the tactical positioning of units within a combat scenario. Such a definition allows for the development of a generic MOEA search algorithm that is applicable to nearly every scenario. The next major phase requires the development and integration of this algorithm into the Air Force Institute of Technology RTS AI agent. Finally, the last phase involves experimenting with the positioning agent in order to determine the effectiveness and efficiency when placed against various other tactical options. Experimental results validate that controlling the position of the units within a tactical situation is an effective alternative for an RTS AI agent to win a battle

Energy Policies and Environmental Entrepreneurship: The Cases of Britain, France and Germany

To respect climate change goals, reinforced by COP21 in Paris, an overhaul of the energy system in EU countries will be necessary and this will involve a major deployment of low-carbon technology (Stern 2006). Although the relative roles of green new ventures and incumbent firms in the dissemination of environmental innovation remain unclear (Hall, Daneke et al. 2010), entrepreneurship shows promise as a response to environmental prob-lems (Anderson 1998, Schaltegger 2002, Hart, Milstein 1999). Since green new ventures are free from the innovatory constraints faced by incumbent firms (York, Venkataraman 2010, Hockerts, Wüstenhagen 2010), they are in a position to disrupt existing unsustaina-ble markets. Designing and implementing an energy policy with an “entrepreneurial fla-vour” (Wüstenhagen, Wuebker 2011) could be advantageous in achieving a successful sus-tainable transformation of the energy system. This thesis examines how entrepreneurs per-ceive energy policy in three advanced EU countries using a case study approach, with each country constituting a case. Data sources comprised policy documents, interviews with entrepreneurs and key staff in new ventures, and field notes from practitioner conferences. At this critical point at which direct support for renewables is being withdrawn, it is argued that efforts must be made to retain this entrepreneurial force in the energy market. This thesis reflects on the degree to which the market-creating support mechanisms are being withdrawn. If entrepreneurship is to thrive in a post-support context, there must be consid-eration as to how to better integrate decentralised renewables into the energy market, espe-cially in relation to how they can compete effectively with conventional technologies, namely nuclear and gas. In addition to alternative strategies to incentivise adoption of re-newable energy technologies beyond early adopter consumer categories (Rogers 1995), building greater public consent to sustainability policies is crucial to the continued success of energy entrepreneurship. Geopolitical factors surrounding energy security may rein-force the case for continuing to support entrepreneurship in the renewable power sector

Towards the improvement of self-service systems via emotional virtual agents

Affective computing and emotional agents have been found to have a positive effect on human-computer interactions. In order to develop an acceptable emotional agent for use in a self-service interaction, two stages of research were identified and carried out; the first to determine which facial expressions are present in such an interaction and the second to determine which emotional agent behaviours are perceived as appropriate during a problematic self-service shopping task. In the first stage, facial expressions associated with negative affect were found to occur during self-service shopping interactions, indicating that facial expression detection is suitable for detecting negative affective states during self-service interactions. In the second stage, user perceptions of the emotional facial expressions displayed by an emotional agent during a problematic self-service interaction were gathered. Overall, the expression of disgust was found to be perceived as inappropriate while emotionally neutral behaviour was perceived as appropriate, however gender differences suggested that females perceived surprise as inappropriate. Results suggest that agents should change their behaviour and appearance based on user characteristics such as gender

Tax Policy with Uncertain Future Costs: Some Simple Models

This paper considers the extent to which the standard argument, that the disproportionate excess burden of taxation suggests the use of tax-smoothing in the face of future cost increases, is modified by uncertainty regarding the future. The role of uncertainty and risk aversion are examined using several highly simplified models involving a possible future contingency requiring an increase in tax-financed expenditure

Inequality in New Zealand 1983/84 to 2013/14*

This paper provides an empirical analysis of annual income and expenditure inequality in New Zealand over a thirty-year period from the early 1980s. The extent of redistribution through the tax and benefit system is also explored. Household Economic Survey data are used for each year from 1983/84 to 1997/98 inclusive, 2000/01 and 2003/04 , and for each year from 2006/07. Survey calibration methods are used to examine inequality on the assumption that a range of (approximately 50) population characteristics remain constant over the period. Furthermore, decomposition methods are used to examine the separate contributions to changing inequality of population ageing, changes in labour force participation and household structure

Statistical hyperbolicity in groups

In this paper, we introduce a geometric statistic called the "sprawl" of a group with respect to a generating set, based on the average distance in the word metric between pairs of words of equal length. The sprawl quantifies a certain obstruction to hyperbolicity. Group presentations with maximum sprawl (i.e., without this obstruction) are called statistically hyperbolic. We first relate sprawl to curvature and show that nonelementary hyperbolic groups are statistically hyperbolic, then give some results for products, for Diestel-Leader graphs and lamplighter groups. In free abelian groups, the word metrics asymptotically approach norms induced by convex polytopes, causing the study of sprawl to reduce to a problem in convex geometry. We present an algorithm that computes sprawl exactly for any generating set, thus quantifying the failure of various presentations of Z^d to be hyperbolic. This leads to a conjecture about the extreme values, with a connection to the classic Mahler conjecture.Comment: 14 pages, 5 figures. This is split off from the paper "The geometry of spheres in free abelian groups.

The Use of Crowdfunding by Environmental Entrepreneurs: Is it all about cash?

This chapter explores the engagement of environmental ventures in crowdfunding and seeks to address the nested questions of (a) why such ventures choose to engage in crowdfunding and (b) what the unique benefits of crowdfunding are to ventures operating in the renewables space. To address these questions, we draw on a single case study of a French company, tasked with producing renewable energy in the West of France

Long-run Fiscal Projections under Uncertainty: The Case of New Zealand

This paper introduces uncertainty into a fiscal projection model which incorporates population ageing along with a number of feedback effects. When fiscal policy responds in order to achieve a target debt ratio, feedback effects modify the intended outcomes. The feedbacks include the effect on labour supply in response to changes in tax rates, changes in the country risk premium in response to higher public debt ratios, endogenous changes in the rate of productivity growth and savings. Stochastic projections of a range of policy responses are produced, allowing for uncertainty regarding the world interest rate, productivity growth and the growth rates of two components of per capita government expenditure. The probability of exceeding a given debt ratio in each projection year, using a particular tax or expenditure policy,can then be evaluated. Policy implications are briefly discussed