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1. "A Time and Phase for Everything" - Towards A Self Regulated Learning Perspective on Computational Support for Esports

   https://doi.org/10.1145/3549481  

   Kleinman, Erica; Habibi, Reza; Yao, Yichen; Gayle, Christian; Seif_El-Nasr, Magy (October 2022, Proceedings of the ACM on Human-Computer Interaction)

   Computational support for learning in the domain of esports has seen a great deal of attention in recent years as an effective means of helping players learn and reap the benefits of play. However, previous work has not examined the tools from a learning theory perspective to assess if learning is prompted and supported in the right place and time. As a first step towards addressing this gap, this paper presents the results of two studies: a review of existing computational tools, and an online survey of esports' players' learning needs supplemented with qualitative interviews. Using Zimmerman's Cyclical Phase Model of Self-Regulated Learning as a lens, we identify patterns in the types of support offered by existing tools and players' support interests during different learning phases. We identify 11 opportunities for future research and development to better support self-regulated learning in esports. 

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2. Agent-Based Modelling Approach for Developing Enforcement Mechanisms in Spectrum Sharing Scenarios: An application for the 1695-1710MHz band

   Bustamante, Pedro; Gomez, Marcela M; Weiss, Martin BH; Znati, Taieb; Park, Jun-Min; Das, Debarun; Rose, J Stephanie. (January 2018, Telecommunications Policy Research Conference)

   As radio spectrum sharing matures, one of the main challenges becomes finding adequate governance systems and the appropriate enforcement mechanisms. Historically, these processes were assigned to a central entity (in most cases a governmental agency). Nevertheless, the literature of Common Pool Resources (CPRs) shows that other governance mechanisms are possible, which include collaboration with a private, thirdparty regulator or the complete absence of central institutions, as in self-enforcement solutions. These alternatives have been developed around well-known CPRs such as fisheries, forests, etc. As argued by Weiss et al [50], and other researchers, spectrum can indeed be considered to be a CPR. In this work we study the two extremes of governance systems that could be applied to spectrum sharing scenarios. Initially, we study the classical centralized scheme of command and control, where governmental institutions are in charge of rule-definition and enforcement. Subsequently, we explore a government-less environment, i.e., a distributed enforcement approach. In this anarchy situation (i.e., lack of a formal government intervention as defined by Leeson [29]), rules and enforcement mechanisms are solely the product of repeated interactions among the intervening agents. For our analysis, we have selected the spectrum sharing framework of the 1695-1710MHz band. We also use the definitions presented by Bhattarai et al. [9], [10] as well as Altamimi [3] for managing the size of the coordination and exclusion zones. In addition, we utilize Agent-Based Modelling (ABM) to analyze the applicability of these governance mechanisms. ABM simulation allows us to explore how macro phenomena can emerge from micro-level interactions of independent agents. 

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3. Toward Injury-Aware Game Design

   https://doi.org/10.1007/978-3-030-95531-1_8  

   Tinnirello, Marinel; Zhu, Ying; Kane, Steven (February 2022, International Conference on ArtsIT, Interactivity and Game Creation)

   As video games and esports continue to grow in popularity, gaming injuries are also on the rise. In recent years, medical professionals have placed greater emphasis on preventing and treating gaming injuries and proposed specific gaming health guidelines. However, the game industry and game research community have not done enough to address the hazards of gaming injuries or raise awareness about such hazards to players, parents, and game designers. In this paper, we propose a framework of injury-aware game design that addresses the two main causes of gaming injuries: prolonged gaming and repetitive microtrauma. We have identified a set of injury-aware game design techniques to help raise awareness of gaming-related hazards, promote healthy gaming behavior, and optimize gameplay to prevent injuries. We believe an effective way to deliver gaming-related health information to game players is through games themselves. To demonstrate this framework, we have developed an injury-aware game and conducted a user study with players and game designers. The results from the proof-of-concept game and user study show that both players and designers have a positive reception to the idea of implementing more inclusive measures into games, with nearly all participants of the user study being interested in the idea of hand exercise recommendations. 

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4. Toward Understanding the Effects of Cognitive Styles on Collaboration in Multiplayer Games

   https://doi.org/10.1145/3272973.3274047  

   Alharthi, Sultan A; Raptis, George E; Katsini, Christina; Dolgov, Igor; Nacke, Lennart E; Toups_Dugas, Phoebe O (October 2018, ACM)

   In multiplayer games, players need to coordinate action to succeed. This paper investigates the effect of cognitive styles on performance of dyads engaged in collaborative gaming activities. 24 individuals took part in a mixed methods user-study; they were classified as field dependent (FD) or independent (FI) based on a cognitive style elicitation instrument. Three groups of teams were formed, based on the cognitive style of each team member: FD-FD, FD-FI, FI-FI. We examined performance in terms of game completion time, cognitive load, and player experience. The analysis revealed that FD-FI cognitive style had an effect on the performance and the mental load. We expect the findings to provide useful insight for practitioners and researchers on improving team collaboration in different contexts, such as learning, eSports, and disaster response. 

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5. A Collaborative Enforcement Mechanism for Spectrum Sharing Using Blockchain and Smart Contracts: An application for the 1695-1710MHz band

   Bustamante, Pedro J; Gomez, Marcela M.; Weiss, Martin BH; Znati, Taieb; Das, Debarun; Rose, J. Stephanie (September 2019, Telecommunications Policy Research Conference)

   Traditionally, spectrum allocation has been governed by centralized schemes (e.g., command-and-control). Nonetheless, other mechanisms, such as collaborative enforcement, have proven to be successful in a variety of scenarios. In Collaborative enforcement (i.e., collective action), the stakeholders agree on decision-making arrangements (i.e., access, allocation, and control of the resources) while being involved in monitoring the adherence to the rules as a shared effort. Blockchain is a distributed ledger of records/transactions (i.e., database) that brings many benefits such as decentralization, transparency, immutability, etc. One of the most notable characteristics of blockchain-based platforms is their definition as trust-less environments, as there is no central entity in charge of controlling the network interactions. Instead, trust is a group effort, achieved through repeated interactions, consensus algorithms, and cryptographic tools; therefore, converting blockchain systems into examples of collaborative governance regimes. In this paper, our goal is to analyze a particular application of blockchain and smart contracts for the 1695-1710MHz sharing scenario. In this way, we provide a theoretical analysis of the feasibility and the required characteristics to implement such a system. In addition, through the implementation of a Proof of Concept, we explore how the implementation of a blockchainbased organization can be the motor to build a collaborative governance scheme in the spectrum sharing arrangement of the 1695-1710MHz band 

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