Recent Advances in Cellular D2D Communications

Device-to-device (D2D) communications have attracted a great deal of attention from researchers in recent years. It is a promising technique for offloading local traffic from cellular base stations by allowing local devices, in physical proximity, to communicate directly with each other. Furthermore, through relaying, D2D is also a promising approach to enhancing service coverage at cell edges or in black spots. However, there are many challenges to realizing the full benefits of D2D. For one, minimizing the interference between legacy cellular and D2D users operating in underlay mode is still an active research issue. With the 5th generation (5G) communication systems expected to be the main data carrier for the Internet-of-Things (IoT) paradigm, the potential role of D2D and its scalability to support massive IoT devices and their machine-centric (as opposed to human-centric) communications need to be investigated. New challenges have also arisen from new enabling technologies for D2D communications, such as non-orthogonal multiple access (NOMA) and blockchain technologies, which call for new solutions to be proposed. This edited book presents a collection of ten chapters, including one review and nine original research works on addressing many of the aforementioned challenges and beyond

Enhanced Community-Based Routing for Low-Capacity Pocket Switched Networks

Sensor devices and the emergent networks that they enable are capable of transmitting information between data sources and a permanent data sink. Since these devices have low-power and intermittent connectivity, latency of the data may be tolerated in an effort to save energy for certain classes of data. The BUBBLE routing algorithm developed by Hui et al. in 2008 provides consistent routing by employing a model which computes individual nodes popularity from sets of nodes and then uses these popularity values for forwarding decisions. This thesis considers enhancements to BUBBLE based on the hypothesis that nodes do form groups and certain centrality values of nodes within these groups can be used to improve routing decisions further. Built on this insight, there are two algorithms proposed in this thesis. First is the Community-Based- Forwarding (CBF), which uses pairwise group interactions and pairwise node-to-group interactions as a measure of popularity for routing messages. By having a different measure of popularity than BUBBLE, as an additional factor in determining message forwarding, CBF is a more conservative routing scheme than BUBBLE. Thus, it provides consistently superior message transmission and delivery performance at an acceptable delay cost in resource constrained environments. To overcome this drawback, the concept of unique interaction pattern within groups of nodes is introduced in CBF and it is further renewed into an enhanced algorithm known as Hybrid-Community-Based- Forwarding (HCBF). Utilizing this factor will channel messages along the entire path with consideration for higher probability of contact with the destination group and the destination node. Overall, the major contribution of this thesis is to design and evaluate an enhanced social based routing algorithm for resource-constrained Pocket Switched Networks (PSNs), which will optimize energy consumption related to data transfer. It will do so by explicitly considering features of communities in order to reduce packet loss while maintaining high delivery ratio and reduced delay

Learning plan networks in conversational video games

Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2007.Includes bibliographical references (p. 121-123).We look forward to a future where robots collaborate with humans in the home and workplace, and virtual agents collaborate with humans in games and training simulations. A representation of common ground for everyday scenarios is essential for these agents if they are to be effective collaborators and communicators. Effective collaborators can infer a partner's goals and predict future actions. Effective communicators can infer the meaning of utterances based on semantic context. This thesis introduces a computational cognitive model of common ground called a Plan Network. A Plan Network is a statistical model that provides representations of social roles, object affordances, and expected patterns of behavior and language. I describe a methodology for unsupervised learning of a Plan Network using a multiplayer video game, visualization of this network, and evaluation of the learned model with respect to human judgment of typical behavior. Specifically, I describe learning the Restaurant Plan Network from data collected from over 5,000 players of an online game called The Restaurant Game.by Jeffrey David Orkin.S.M

Mass participation user trials

This thesis investigates how researchers can take advantage of the rapid adoption of mobile technology that has brought with it transformations in social and cultural practice; the expectations of what computers are, what they can do, and the role of digital objects in everyday life. In particular this thesis presents and discuses the use of new App Store style software distribution methods to reduce the cost, in terms of researcher time and hardware, of recruiting a large group of participants for a trial ‘in the wild’ while increasing the potential diversity of users is becoming an attractive option for researchers pursuing the ubicomp vision. It examines the procedures for running large scale trials with the deployment of three applications released to a combined user base of over 135,000 in such a way as to keep the qualitative detail necessary to inform design while gain- ing the diversity of users for claims of generalisability. More generally, it discusses the results that can be expected from this ‘mass participation’ approach, and the ethical responsibilities they place upon researchers. The contributions of this thesis for mobile HCI show that in large-scale trials, relatively rich qualitative data can be collected along with substantial quantitative data, and that a hybrid trial methodology combining a large- scale deployment with a local trial can be a powerful tool in addressing shortcomings of trials that are either solely local or solely global. This thesis also contributes guidelines for researchers running large-scale user trials that give consideration to the established research norms and practices, in an attempt to strike a new balance between invasiveness and utility

Co-creating Videogames

This book is available as open access through the Bloomsbury Open Access programme and is available on www.bloomsburycollections.com. Co-creativity has become a significant cultural and economic phenomenon. Media consumers have become media producers. This book offers a rich description and analysis of the emerging participatory, co-creative relationships within the videogames industry. Banks discusses the challenges of incorporating these co-creative relationships into the development process. Drawing on a decade of research within the industry, the book gives us valuable insight into the continually changing and growing world of video games

From Social Data Mining to Forecasting Socio-Economic Crisis

Socio-economic data mining has a great potential in terms of gaining a better understanding of problems that our economy and society are facing, such as financial instability, shortages of resources, or conflicts. Without large-scale data mining, progress in these areas seems hard or impossible. Therefore, a suitable, distributed data mining infrastructure and research centers should be built in Europe. It also appears appropriate to build a network of Crisis Observatories. They can be imagined as laboratories devoted to the gathering and processing of enormous volumes of data on both natural systems such as the Earth and its ecosystem, as well as on human techno-socio-economic systems, so as to gain early warnings of impending events. Reality mining provides the chance to adapt more quickly and more accurately to changing situations. Further opportunities arise by individually customized services, which however should be provided in a privacy-respecting way. This requires the development of novel ICT (such as a self- organizing Web), but most likely new legal regulations and suitable institutions as well. As long as such regulations are lacking on a world-wide scale, it is in the public interest that scientists explore what can be done with the huge data available. Big data do have the potential to change or even threaten democratic societies. The same applies to sudden and large-scale failures of ICT systems. Therefore, dealing with data must be done with a large degree of responsibility and care. Self-interests of individuals, companies or institutions have limits, where the public interest is affected, and public interest is not a sufficient justification to violate human rights of individuals. Privacy is a high good, as confidentiality is, and damaging it would have serious side effects for society.Comment: 65 pages, 1 figure, Visioneer White Paper, see http://www.visioneer.ethz.c

I am here - are you there? Sense of presence and implications for virtual world design

We use the language of presence and place when we interact online: in our instant text messaging windows we often post: Are you there? Research indicates the importance of the sense of presence for computer-supported collaborative virtual learning. To realize the potential of virtual worlds such as Second Life, which may have advantages over conventional text-based environments, we need an understanding of design and the emergence of the sense of presence. A construct was created for the sense of presence, as a collaborative, action-based process (Spagnolli, Varotto, & Mantovani, 2003) with four dimensions (sense of place, social presence, individual agency, and mediated collaborative actions). Nine design principles were mapped against the four dimensions. The guiding question for the study\u27s exploration of the sense of presence was: In the virtual world Second Life, what is the effect on the sense of presence in collaborative learning spaces designed according to the sense of presence construct proposed, using two of the nine design principles, wayfinding and annotation? Another question of interest was: What are the relationships, if any, among the four dimensions of presence? The research utilized both quantitative and qualitative measures. Twenty learners recruited from the Graduate School of Education and Psychology at Pepperdine University carried out three assigned collaborative activities in Second Life under design conditions foregrounding each of the two design conditions, and a combination of the two. Analyses from surveys, Second Life interactions, interviews and a focus group were conducted to investigate how various designed learning environments based in the virtual world contributed to the sense of presence, and to learners\u27 ability to carry out collaborative learning. The major research findings were: (a) the construct appears robust, and future research in its application to other virtual worlds may be fruitful; (b) the experience of wayfinding (finding a path through a virtual space) resulted overall in an observed pattern of a slightly stronger sense of place; (c) the experience of annotation (building) resulted overall in an observed pattern of a slightly stronger sense of agency; and (d) there is a positive association between sense of place and sense of agency

Design Variables of Attraction in Quest-Based Learning

Critics of the American education system point to student boredom, lack of personalized and relevant instruction, and a deficit of 21st century skills as challenges to producing productive citizens of a modern, digital society (Barab et al., 2009; Eccles & Wingfield, 2002; Ketelhut, 2007; U.S. Department of Education Office of Educational Technology, 2010). Digital learning, including game-based approaches, offers opportunities to bring about meaningful, engaging, individualized learning (Barab & Dede, 2007; Gee, 2005; Squire, 2003). Quest-based learning is an instructional design theory of game-based learning that focuses on student activity choice within the curriculum, which offers promising pedagogical possibilities in the area. This study expands upon current research of video game characteristics and variables of attractiveness in learner choice. Identifying these attractive characteristics in game-based educational design can increase engagement (Barab et al., 2009), educational effectiveness (Sullivan & Mateas, 2009), and impact instructional design decisions. Quests were coded and tagged to identify features and attributes. An educational quest taxonomy was developed building on Merrill’s Knowled ge Object (Redeker, 2003; Wiley, 2000) classification and expanded to include current digital tools and thinking. Electronically collected decision data from a quest-based learning management system was analyzed using descriptive statistical analysis and data mining techniques. Educational quests were differentiated by a number of data points and identified as more or less attractive using an initial interest score and a completion score. User rating was also considered for descriptive purposes. Data mining and text mining highlighted the specific characteristics of attractive quests including clusters of characteristics identified as most attractive as well as their significance. Suggestions for future attractive quest-based learning design are suggested. (Keywords: Quests, quest-based learning, game-based learning, 3D GameLab, play styles, learner preferences, rewards, badges, gamification, MMORPGs, virtual environments, informal learning.