The laws of the virtual worlds

What if you could check out of your world, and enter a place where the social environment was different, where real world laws didn't apply, and where the political system could be anything you wanted it to be? What if you could socialize there with family and friends, build your own palace, go skiing, and even hold down a job there? And what if there wasn't one alternate world, there were hundreds, and what if millions of people checked out of Earth and went there every day? Virtual worlds - online worlds where millions of people come to interact, play, and socialize - are a new type of social order. In this Article, we examine the implications of virtual worlds for our understanding of law, and demonstrate how law affects the interests of those within the world. After providing an extensive primer on virtual worlds, including their history and function, we examine two fundamental issues in detail. First, we focus on property, and ask whether it is possible to say that virtual world users have real world property interests in virtual objects. Adopting economic accounts that demonstrate the real world value of these objects and the exchange mechanisms for trading these objects, we show that, descriptively, these types of objects are indistinguishable from real world property interests. Further, the normative justifications for property interests in the real world apply - sometimes more strongly - in the virtual worlds. Second, we discuss whether avatars have enforceable legal and moral rights. Avatars, the user-controlled entities that interact with virtual worlds, are a persistent extension of their human users, and users identify with them so closely that the human-avatar being can be thought of as a cyborg. We examine the issue of cyborg rights within virtual worlds and whether they may have real world significance. The issues of virtual property and avatar rights constitute legal challenges for our online future. Though virtual worlds may be games now, they are rapidly becoming as significant as real-world places where people interact, shop, sell, and work. As society and law begin to develop within virtual worlds, we need to have a better understanding of the interaction of the laws of the virtual worlds with the law of this world.

Good practice report : clinical teaching

Clinical experience, or experience in the ‘real world’ of practice, is a fundamental component of many health professional courses. It often involves students undertaking practical experience in clinical workplace settings, typically referred to as clinical placements, under the supervision of health professionals. Broadly speaking, the role of clinical supervisors, or teachers, is aimed at assisting students to integrate the theoretical and skills based components of the curriculum within the context of patient/client care (Erstzen et al 2009). Clinical experience also provides students with the opportunity to assimilate the attitudes, values and skills which they require to become appropriately skilled professionals in the environments in which they will eventually practise. However, clinical settings are particularly challenging learning environments for students. Unlike classroom learning, students in the clinical setting frequently find themselves involved in unplanned and often complex activities with patients and other health care providers, being supervised by a variety of clinical staff who have very different methods and styles of teaching, and negotiating bureaucratic or hierarchical structures in busy clinical workplaces where they may only be spending a limited amount of time. Kilminster et al (2007) also draw attention to tensions that may exist between the learning needs of students and the provision of quality care or need to prevent harm to the patient (e.g. Elkind et al 2007). All of these factors complicate the realisation of clinical education goals and underscore the need for effective clinical teaching practices that maximise student learning in clinical environments. This report provides a summary of work that has been achieved in relation to ALTC projects and fellowships associated with clinical teaching, and a review of scholarly publications relevant to this field. The report also makes recommendations based on issues identified and/or where further work is indicated. The projects and fellowships reviewed cover a range of discipline areas including Biology, Paramedic Practice, Clinical Exercise Physiology, Occupational Therapy, Speech Pathology, Physiotherapy, Pharmacy, Nursing and Veterinary Science. The main areas of focus cover issues related to curriculum, particularly in relation to industry expectations of ‘work-ready’ graduates and the implications for theoretical and practical, or clinical preparation; development of competency assessment tools that are nationally applicable across discipline-specific courses; and improvement of clinical learning through strategies targeting the clinical learning environment, building the teaching capacity of clinical supervisors and/or enhancing the clinical learning/teaching process.

Applying a validation framework to a working airport terminal model

Validation is an important issue in the development and application of Bayesian Belief Network (BBN) models, especially when the outcome of the model cannot be directly observed. Despite this, few frameworks for validating BBNs have been proposed and fewer have been applied to substantive real-world problems. In this paper we adopt the approach by Pitchforth and Mengersen (2013), which includes nine validation tests that each focus on the structure, discretisation, parameterisation and behaviour of the BBNs included in the case study. We describe the process and result of implementing a validation framework on a model of a real airport terminal system with particular reference to its effectiveness in producing a valid model that can be used and understood by operational decision makers. In applying the proposed validation framework we demonstrate the overall validity of the Inbound Passenger Facilitation Model as well as the effectiveness of the validity framework itself.

ICANN and the concept of democratic deficit

The Internet Corporation for Assigned Names and Numbers (ICANN) is an institution besieged. It has endeavored to be democratic but its attempts to do so have been disastrous. The typical explanation for this is that the problem is with ICANN: it fails to meet its democratic obligations. My view is that the problem is with our understanding of "democracy." Democracy is an empty concept that fails to describe few, if any, of our genuine political commitments. In the real world, the failings inherent in "democracy" have been papered over by some unusual characteristics of the physical political process. However, in online trans-national institutions like ICANN, democracy is exposed as a poor substitute for a number of other conceptions of our political commitments. This Article seeks to articulate these political commitments and to explain why democracy and ICANN are such a poor mix. It begins by charting the rise of ICANN and its attempts to be democratic. It then explains why democracy is an empty shell of a concept. It then explores some features of democracy and ICANN, explaining why the online world exposes limitations in implications of democracy such as the nature of the demos, the idea of constituencies, direct democracy, voting, and the like. It concludes that ICANN's example demonstrates that democracy is in fact anything but a coherent general theory of political action. We need to consider, then, whether we should continue to berate ICANN for its undemocratic actions.

CoRE : a context-aware relation extraction method for relation completion

We identify relation completion (RC) as one recurring problem that is central to the success of novel big data applications such as Entity Reconstruction and Data Enrichment. Given a semantic relation, RC attempts at linking entity pairs between two entity lists under the relation. To accomplish the RC goals, we propose to formulate search queries for each query entity α based on some auxiliary information, so that to detect its target entity β from the set of retrieved documents. For instance, a pattern-based method (PaRE) uses extracted patterns as the auxiliary information in formulating search queries. However, high-quality patterns may decrease the probability of finding suitable target entities. As an alternative, we propose CoRE method that uses context terms learned surrounding the expression of a relation as the auxiliary information in formulating queries. The experimental results based on several real-world web data collections demonstrate that CoRE reaches a much higher accuracy than PaRE for the purpose of RC.

Automated species recognition in environmental recordings

Faunal vocalisations are vital indicators for environmental change and faunal vocalisation analysis can provide information for answering ecological questions. Therefore, automated species recognition in environmental recordings has become a critical research area. This thesis presents an automated species recognition approach named Timed and Probabilistic Automata. A small lexicon for describing animal calls is defined, six algorithms for acoustic component detection are developed, and a series of species recognisers are built and evaluated.The presented automated species recognition approach yields significant improvement on the analysis performance over a real world dataset, and may be transferred to commercial software in the future.

Macroscopic fundamental diagram for Brisbane, Australia: empirical findings on network partitioning and incident detection

The Macroscopic Fundamental Diagram (MFD) relates space-mean density and flow, and the existence with dynamic features was confirmed in congested urban network in downtown Yokohama with real data set. Since the MFD represents the area-wide network traffic performances, studies on perimeter control strategies and an area traffic state estimation utilizing the MFD concept has been reported. However, limited works have been reported on real world example from signalised arterial network. This paper fuses data from multiple sources (Bluetooth, Loops and Signals) and presents a framework for the development of the MFD for Brisbane, Australia. Existence of the MFD in Brisbane arterial network is confirmed. Different MFDs (from whole network and several sub regions) are evaluated to discover the spatial partitioning for network performance representation. The findings confirmed the usefulness of appropriate network partitioning for traffic monitoring and incident detections. The discussion addressed future research directions.

Using Web 2.0 to improve software quality

Social media tools are starting to become mainstream and those working in the software development industry are often ahead of the game in terms of using current technological innovations to improve their work. With the advent of outsourcing and distributed teams the software industry is ideally placed to take advantage of social media technologies, tools and environments. This paper looks at how social media is being used by early adopters within the software development industry. Current tools and trends in social media tool use are described and critiqued: what works and what doesn't. We use industrial case studies from platform development, commercial application development and government contexts which provide a clear picture of the emergent state of the art. These real world experiences are then used to show how working collaboratively in geographically dispersed teams, enabled by social media, can enhance and improve the development experience.

Peer assisted learning and generation Y : a case study

In recent years Australian Law Schools have implemented various forms of peer assisted learning or mentoring, including career mentoring by former students of final year students and orientation mentoring or tutoring by later year students of incoming first year students. The focus of these programs therefore is on the transition into or out of law school. There is not always as great an emphasis however, as part of this transition, on the use of law students belonging to the same unit cohort as a learning resource for each other within their degree. This is despite the claimed preference of Generation Y students for collaborative learning environments, authentic learning experiences and the development of marketable workplace skills. In the workplace, be it professional legal practice or otherwise, colleagues rely heavily on each other for information, support and guidance. In the undergraduate law degree at the Queensland University of Technology (‘QUT’) the Torts Student Peer Mentor Program aims to supplement a student’s understanding of the substantive law of torts with the development of life-long skills. As such it has the primary objective, albeit through discussion facilitated by more senior students, of encouraging first year students to develop for themselves the skills they need to be successful both as law students and as legal practitioners. Examples of such skills include those relevant to: preparation for assessment tasks; group work; problem solving, cognition and critical thinking; independent learning; and communication. Significantly, in this way, not only do the mentees benefit from involvement in the program, but the peer mentors, or program facilitators, themselves also benefit from their participation in the real world learning environment the program provides. This paper outlines the development and implementation of the above program, the pedagogy which influenced it, and its impact on student learning experiences

Bluetooth and Wi-Fi MAC address based crowd data collection and monitoring : benefits, challenges and enhancement

This paper firstly presents the benefits and critical challenges on the use of Bluetooth and Wi-Fi for crowd data collection and monitoring. The major challenges include antenna characteristics, environment’s complexity and scanning features. Wi-Fi and Bluetooth are compared in this paper in terms of architecture, discovery time, popularity of use and signal strength. Type of antennas used and the environment’s complexity such as trees for outdoor and partitions for indoor spaces highly affect the scanning range. The aforementioned challenges are empirically evaluated by “real” experiments using Bluetooth and Wi-Fi Scanners. The issues related to the antenna characteristics are also highlighted by experimenting with different antenna types. Novel scanning approaches including Overlapped Zones and Single Point Multi-Range detection methods will be then presented and verified by real-world tests. These novel techniques will be applied for location identification of the MAC IDs captured that can extract more information about people movement dynamics.

Tensor-based item recommendation using probabilistic ranking in social tagging systems

A common problem with the use of tensor modeling in generating quality recommendations for large datasets is scalability. In this paper, we propose the Tensor-based Recommendation using Probabilistic Ranking method that generates the reconstructed tensor using block-striped parallel matrix multiplication and then probabilistically calculates the preferences of user to rank the recommended items. Empirical analysis on two real-world datasets shows that the proposed method is scalable for large tensor datasets and is able to outperform the benchmarking methods in terms of accuracy.

Concurrent validity of accelerations measured using a tri-axial inertial measurement unit while walking on firm, compliant and uneven surfaces

Although accelerometers are extensively used for assessing gait, limited research has evaluated the concurrent validity of these devices on less predictable walking surfaces or the comparability of different methods used for gravitational acceleration compensation. This study evaluated the concurrent validity of trunk accelerations derived from a tri-axial inertial measurement unit while walking on firm, compliant and uneven surfaces and contrasted two methods used to remove gravitational accelerations: i) subtraction of the best linear fit from the data (detrending), and; ii) use of orientation information (quaternions) from the inertial measurement unit. Twelve older and twelve younger adults walked at their preferred speed along firm, compliant and uneven walkways. Accelerations were evaluated for the thoracic spine (T12) using a tri-axial inertial measurement unit and an eleven-camera Vicon system. The findings demonstrated excellent agreement between accelerations derived from the inertial measurement unit and motion analysis system, including while walking on uneven surfaces that better approximate a real-world setting (all differences <0.16 m.s−2). Detrending produced slightly better agreement between the inertial measurement unit and Vicon system on firm surfaces (delta range: −0.05 to 0.06 vs. 0.00 to 0.14 m.s−2), whereas the quaternion method performed better when walking on compliant and uneven walkways (delta range: −0.16 to −0.02 vs. −0.07 to 0.07 m.s−2). The technique used to compensate for gravitational accelerations requires consideration in future research, particularly when walking on compliant and uneven surfaces. These findings demonstrate trunk accelerations can be accurately measured using a wireless inertial measurement unit and are appropriate for research that evaluates healthy populations in complex environments.

Does usability engineering matters for STEM education?

Technological maturity and the exponential growth of digital applications are contributing to lifestyle changes worldwide. Consequently, learning and teaching is demanding more effective sociotechnical interactions involving emerging technologies, as opposed to traditional, conventional face-to-face learning and teaching approaches. In this context, usability engineering is making significant contributions for improving computer and distance-based learning, both for learners and instructors, which have often been ignored when designing online learning and teaching applications. Usability testing is a central part of the human centered learning approach for developing sustainable STEM education from the socio-technological perspective. Our experiences with usability engineering and the impact of teaching low-cost rapid usability testing methods on knowledge translation from undergraduate to graduate courses to real-world practice (i.e. getting the methods out there in real use) are diverse and multi-modal. Our sample space has been hundreds of trained students who have learned how to do effective usability engineering in real-world situations at higher levels of realism (i.e. fidelity) and at a much lower cost than using traditional fixed usability labs. Furthermore, this low-cost rapid approach to usability engineering has been adopted by many of our graduates who are now managers, CIOs etc and who are using the methods routinely in their organizations in real world applications and scenarios. This knowledge has been used to improve design and implementation of a wide range of applications, including applications designed for teaching and learning.

Pragmatic two-way communication : a practitioner perspective on dialogue in public relations

Public relations has traditionally claimed a close association with dialogue, but this research demonstrates that formal notions of dialogue have little relevance to the real world of public relations practice. Instead, practitioners undertake pragmatic forms of two-way communication, because the constraints within which they work mean dialogue is difficult if not impossible to carry out. This qualitative research project shows that although the label of 'dialogue' has been co-opted in both the theory and practice of public relations, this claimed connection is not supported by empirical evidence.

eHealth-as-a-Service (eHaaS) : towards universal stakeholder engagement

With the introduction of the Personally Controlled Health Record (PCEHR), the Australian public is being asked to accept greater responsibility for their healthcare by taking an active role in the management of personal health information. Although well designed, constructed and intentioned, policy and privacy concerns have resulted in an eHealth model that may impact future health sharing requirements. Hence, as a case study for a consumer eHealth initative in the Australian context, eHealth-as-a-Service (eHaaS) serves as a disruptive step in in the aggregation and transformation of health information for use as real-world knowledge. The strategic value of extending the community Health Record Bank (HRB) model lies in the ability to automatically draw on a multitude of relevant data repositories and sources to create a single source of the truth and to engage market forces to create financial sustainability. The opportunity to transform the beleaguered Australian PCEHR into a realisable and sustainable technology consumption model for patient safety is explored. Moreover, the current clerical focus of healthcare practitioners acting in the role of de facto record keepers is renegotiated to establish a shared knowledge creation landscape of action for safer patient interventions. To achieve this potential however requires a platform that will facilitate efficient and trusted unification of all health information available in real-time across the continuum of care. eHaaS provides a sustainable environment and encouragement to realise this potential.