3,059 research outputs found

    InGAME international pathway to collaboration: Collaboration in Games UK-China

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    In 2019 the Arts &amp; Humanities Research Council (AHRC) funded a series of projects as part of its UK-China Creative Partnerships Programme. Led by Abertay University in partnership with academic and industry partners across the UK and China, InGAME International was funded through this AHRC programme with the aim of studying the potential for UK-China cooperation and collaboration in the computer games sector. The project is linked to the AHRC Creative Industries Cluster, InGAME: Innovation for Games and Media Enterprise, which is also led by Abertay University in partnership with the University of Dundee and University of St Andrews. The games industry is one of the largest and fastest growing sectors in both the UK and the Chinese creative economies. In 2023, China was the largest gaming market globally with revenue forecast at 82.064billioncomparedwith82.064 billion compared with 7.94 billion in the UK (Statista, 2023). The growth in China’s market has long been the source of appeal for UK game developers and publishers seeking new routes to market. However, the divergence between the UK and China in terms of market profile, consumption patterns, leading companies, technologies, regulation, licensing, management, and business culture has presented ongoing difficulties for any UK based developer interested in engagement in- or with- China. It is from this basis that the current study sought to consolidate industry, legal, and regulatory knowhow with a view to providing a valuable resource to games professionals and researchers who have interests in UK-China collaboration. This Pathway to Collaboration report curates the cumulative knowledge and insight generated during the InGAME International programme, with an intended audience of games industry professionals and researchers interested in UK-China collaboration. At the heart of the research is an unprecedented qualitative study that involved in-depth interviews with 47 leading experts from the UK, China and other territories and with knowledge of games development, business, publishing, marketing, localisation, IP, copyright, regulation, markets, and sales. This report is the first comprehensive qualitative study to investigate the intersection between the UK and China games industries and markets at this scale and depth, providing readers with an invaluable, interactive resource that will support professionals and researchers to initiate new collaborations between the two nations.</p

    InGAME international pathway to collaboration: Collaboration in Games UK-China

    Get PDF
    In 2019 the Arts &amp; Humanities Research Council (AHRC) funded a series of projects as part of its UK-China Creative Partnerships Programme. Led by Abertay University in partnership with academic and industry partners across the UK and China, InGAME International was funded through this AHRC programme with the aim of studying the potential for UK-China cooperation and collaboration in the computer games sector. The project is linked to the AHRC Creative Industries Cluster, InGAME: Innovation for Games and Media Enterprise, which is also led by Abertay University in partnership with the University of Dundee and University of St Andrews. The games industry is one of the largest and fastest growing sectors in both the UK and the Chinese creative economies. In 2023, China was the largest gaming market globally with revenue forecast at 82.064billioncomparedwith82.064 billion compared with 7.94 billion in the UK (Statista, 2023). The growth in China’s market has long been the source of appeal for UK game developers and publishers seeking new routes to market. However, the divergence between the UK and China in terms of market profile, consumption patterns, leading companies, technologies, regulation, licensing, management, and business culture has presented ongoing difficulties for any UK based developer interested in engagement in- or with- China. It is from this basis that the current study sought to consolidate industry, legal, and regulatory knowhow with a view to providing a valuable resource to games professionals and researchers who have interests in UK-China collaboration. This Pathway to Collaboration report curates the cumulative knowledge and insight generated during the InGAME International programme, with an intended audience of games industry professionals and researchers interested in UK-China collaboration. At the heart of the research is an unprecedented qualitative study that involved in-depth interviews with 47 leading experts from the UK, China and other territories and with knowledge of games development, business, publishing, marketing, localisation, IP, copyright, regulation, markets, and sales. This report is the first comprehensive qualitative study to investigate the intersection between the UK and China games industries and markets at this scale and depth, providing readers with an invaluable, interactive resource that will support professionals and researchers to initiate new collaborations between the two nations.</p

    Resource-aware scheduling for 2D/3D multi-/many-core processor-memory systems

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    This dissertation addresses the complexities of 2D/3D multi-/many-core processor-memory systems, focusing on two key areas: enhancing timing predictability in real-time multi-core processors and optimizing performance within thermal constraints. The integration of an increasing number of transistors into compact chip designs, while boosting computational capacity, presents challenges in resource contention and thermal management. The first part of the thesis improves timing predictability. We enhance shared cache interference analysis for set-associative caches, advancing the calculation of Worst-Case Execution Time (WCET). This development enables accurate assessment of cache interference and the effectiveness of partitioned schedulers in real-world scenarios. We introduce TCPS, a novel task and cache-aware partitioned scheduler that optimizes cache partitioning based on task-specific WCET sensitivity, leading to improved schedulability and predictability. Our research explores various cache and scheduling configurations, providing insights into their performance trade-offs. The second part focuses on thermal management in 2D/3D many-core systems. Recognizing the limitations of Dynamic Voltage and Frequency Scaling (DVFS) in S-NUCA many-core processors, we propose synchronous thread migrations as a thermal management strategy. This approach culminates in the HotPotato scheduler, which balances performance and thermal safety. We also introduce 3D-TTP, a transient temperature-aware power budgeting strategy for 3D-stacked systems, reducing the need for Dynamic Thermal Management (DTM) activation. Finally, we present 3QUTM, a novel method for 3D-stacked systems that combines core DVFS and memory bank Low Power Modes with a learning algorithm, optimizing response times within thermal limits. This research contributes significantly to enhancing performance and thermal management in advanced processor-memory systems

    LIPIcs, Volume 251, ITCS 2023, Complete Volume

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    LIPIcs, Volume 251, ITCS 2023, Complete Volum

    2023-2024 Catalog

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    The 2023-2024 Governors State University Undergraduate and Graduate Catalog is a comprehensive listing of current information regarding:Degree RequirementsCourse OfferingsUndergraduate and Graduate Rules and Regulation

    The power of organized fandoms in the age of Web 2.0:the Snyder Cut

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    Abstract. The internet has given many individuals the chance to connect with each other in a virtual manner and engage in discussions concerning topics they are interested in a new and modern fashion. Fandoms can be described as a designated culture of emotion, aiming to encourage individuals to experience culture with a heightened sense of enthusiasm, emotional involvement, and strong attachments. This thesis seeks to investigate the different impacts that fandoms can have on the internet, via an analysis of the subreddit r/DC_Cinematic, which is one of the various communities on the internet where fans demanded for director’s Zack Snyder’s Justice League film to be released, after allegations of his vision being replaced by the theatrical release directed by Joss Whedon. In this subreddit, different posts were examined, along with its comments. The dataset was retrieved using RStudio, with the data extraction toolkit known as RedditExtractoR. The dataset was organized to allow for analysis, and the results were summarized for the thesis. The results were discussed based on previous literature, and implications for research and practice are identified. It was found that individuals became motivated to join the Snyder Cut movement because they wanted to share their emotions, expectations, shared experiences, and increase their sense of belonging surrounding the movement. Moreover, individuals were twice as likely to encounter positive than negative engagement, with the most frequent signs of positivity being support, guidance, encouragement, respect and expressing or developing a sense of community. On the other hand, the most frequent signs of negativity involved facing or expressing negative and extremist thoughts and behaviours, as well as facing or finding toxic behaviours from those that support or not the Snyder Cut. The factors that were believed to have contributed to the success and release of the Snyder Cut were the support for the cut, the desire to see Snyder’s vision, and the theory of Warner Brothers using the Snyder Cut to market their then yet-to-be-released new streaming platform HBO Max

    Data-Driven Evaluation of In-Vehicle Information Systems

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    Today’s In-Vehicle Information Systems (IVISs) are featurerich systems that provide the driver with numerous options for entertainment, information, comfort, and communication. Drivers can stream their favorite songs, read reviews of nearby restaurants, or change the ambient lighting to their liking. To do so, they interact with large center stack touchscreens that have become the main interface between the driver and IVISs. To interact with these systems, drivers must take their eyes off the road which can impair their driving performance. This makes IVIS evaluation critical not only to meet customer needs but also to ensure road safety. The growing number of features, the distraction caused by large touchscreens, and the impact of driving automation on driver behavior pose significant challenges for the design and evaluation of IVISs. Traditionally, IVISs are evaluated qualitatively or through small-scale user studies using driving simulators. However, these methods are not scalable to the growing number of features and the variety of driving scenarios that influence driver interaction behavior. We argue that data-driven methods can be a viable solution to these challenges and can assist automotive User Experience (UX) experts in evaluating IVISs. Therefore, we need to understand how data-driven methods can facilitate the design and evaluation of IVISs, how large amounts of usage data need to be visualized, and how drivers allocate their visual attention when interacting with center stack touchscreens. In Part I, we present the results of two empirical studies and create a comprehensive understanding of the role that data-driven methods currently play in the automotive UX design process. We found that automotive UX experts face two main conflicts: First, results from qualitative or small-scale empirical studies are often not valued in the decision-making process. Second, UX experts often do not have access to customer data and lack the means and tools to analyze it appropriately. As a result, design decisions are often not user-centered and are based on subjective judgments rather than evidence-based customer insights. Our results show that automotive UX experts need data-driven methods that leverage large amounts of telematics data collected from customer vehicles. They need tools to help them visualize and analyze customer usage data and computational methods to automatically evaluate IVIS designs. In Part II, we present ICEBOAT, an interactive user behavior analysis tool for automotive user interfaces. ICEBOAT processes interaction data, driving data, and glance data, collected over-the-air from customer vehicles and visualizes it on different levels of granularity. Leveraging our multi-level user behavior analysis framework, it enables UX experts to effectively and efficiently evaluate driver interactions with touchscreen-based IVISs concerning performance and safety-related metrics. In Part III, we investigate drivers’ multitasking behavior and visual attention allocation when interacting with center stack touchscreens while driving. We present the first naturalistic driving study to assess drivers’ tactical and operational self-regulation with center stack touchscreens. Our results show significant differences in drivers’ interaction and glance behavior in response to different levels of driving automation, vehicle speed, and road curvature. During automated driving, drivers perform more interactions per touchscreen sequence and increase the time spent looking at the center stack touchscreen. These results emphasize the importance of context-dependent driver distraction assessment of driver interactions with IVISs. Motivated by this we present a machine learning-based approach to predict and explain the visual demand of in-vehicle touchscreen interactions based on customer data. By predicting the visual demand of yet unseen touchscreen interactions, our method lays the foundation for automated data-driven evaluation of early-stage IVIS prototypes. The local and global explanations provide additional insights into how design artifacts and driving context affect drivers’ glance behavior. Overall, this thesis identifies current shortcomings in the evaluation of IVISs and proposes novel solutions based on visual analytics and statistical and computational modeling that generate insights into driver interaction behavior and assist UX experts in making user-centered design decisions
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