Human-Autonomy Teaming and Explainable AI Capabilities in RTS Games

Lucero, Crisrael; Izumigawa, Christianne; Frederiksen, Kurt; Nans, Lena; Iden, Rebecca; Lange, Douglas S.

doi:10.1007/978-3-030-49183-3_13

Cited by 4 publications

(1 citation statement)

References 13 publications

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“…While systems and methodologies for tracking and analyzing player data have grown and advanced, there is a notable lack of understanding of how players use their data to gain expertise in esports. This is because many of the tools that have been developed have not involved player input or evaluation [17,22] or are not intended for player use at all, instead targeting developers [35] or spectators [20]. That being said, there does exist a collection of work targeting players, some of which conducted evaluations with those players, however, those evaluations focused predominantly on identifying best practices for design, comprehension, and usability [33,37].…”

Section: Introductionmentioning

confidence: 99%

Using Data to "Git Gud": A Push for a Player-Centric approach tothe Use of Data in Esports

Kleinman¹,

El-Nasr²

2021

Preprint

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The rapid increase in the availability of player data and the advancement of player modeling technologies have resulted in an abundance of data-driven systems for the domain of esports, both within academia and the industry. However, there is a notable lack of research exploring how players use their data to gain expertise in the context of esports. In this position paper we discuss the current state of the field and argue that there is a need for further research into how players use their data and what they want from data-driven systems. We argue that such knowledge would be invaluable to better design data-driven systems that can aid players in gaining expertise and mastering gameplay.

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Section: Introductionmentioning

confidence: 99%

Using Data to "Git Gud": A Push for a Player-Centric approach tothe Use of Data in Esports

Kleinman¹,

El-Nasr²

2021

Preprint

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A Digital Game based Learning Approach for Effective Curriculum Transaction for Teaching-Learning of Artificial Intelligence and Machine Learning

Alam

2022

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)

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When Internet of Things Meets Metaverse: Convergence of Physical and Cyber Worlds

Cui

et al. 2023

IEEE Internet Things J.

105

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14In recent years, the Internet of Things (IoT) is studied in the context of the Metaverse to provide users immersive cyber-virtual experiences in mixed reality environments. This survey introduces six typical IoT applications in the Metaverse, including collaborative healthcare, education, smart city, entertainment, real estate, and socialization. In the IoT-inspired Metaverse, we also comprehensively survey four pillar technologies that enable augmented reality (AR) and virtual reality (VR), namely, responsible artificial intelligence (AI), highspeed data communications, cost-effective mobile edge computing (MEC), and digital twins. According to the physical-world demands, we outline the current industrial efforts and seven key requirements for building the IoTinspired Metaverse: immersion, variety, economy, civility, interactivity, authenticity, and independence. In addition, this survey describes the open issues in the IoT-inspired Metaverse, which need to be addressed to eventually achieve the convergence of physical and cyber worlds.

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Human-Autonomy Teaming and Explainable AI Capabilities in RTS Games

Cited by 4 publications

References 13 publications

Using Data to "Git Gud": A Push for a Player-Centric approach tothe Use of Data in Esports

Using Data to "Git Gud": A Push for a Player-Centric approach tothe Use of Data in Esports

A Digital Game based Learning Approach for Effective Curriculum Transaction for Teaching-Learning of Artificial Intelligence and Machine Learning

When Internet of Things Meets Metaverse: Convergence of Physical and Cyber Worlds

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