An approach to interactive deep reinforcement learning for serious games

Dobrovsky, Aline; Borghoff, Uwe M.; Hofmann, Marko

doi:10.1109/coginfocom.2016.7804530

Cited by 16 publications

(7 citation statements)

References 15 publications

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“…In [1,3], Dobrovsky et al describe an interactive reinforcement learning framework for serious games with complex environments where a non-player character is modeled using human guidance. They argue that interactive reinforcement learning can be used to improve learning and the quality of learning.…”

Section: Related Workmentioning

confidence: 99%

Cybersecurity Awareness Platform with Virtual Coach and Automated Challenge Assessment

Gasiba

Lechner

Pinto-Albuquerque

et al. 2020

Lecture Notes in Computer Science

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Over the last years, the number of cyber-attacks on industrial control systems has been steadily increasing. Among several factors, proper software development plays a vital role in keeping these systems secure. To achieve secure software, developers need to be aware of secure coding guidelines and secure coding best practices. This work presents a platform geared towards software developers in the industry that aims to increase awareness of secure software development. The authors also introduce an interactive game component, a virtual coach, which implements a simple artificial intelligence engine based on the laddering technique for interviews. Through a survey, a preliminary evaluation of the implemented artifact with real-world players (from academia and industry) shows a positive acceptance of the developed platform. Furthermore, the players agree that the platform is adequate for training their secure coding skills. The impact of our work is to introduce a new automatic challenge evaluation method together with a virtual coach to improve existing cybersecurity awareness training programs. These training workshops can be easily held remotely or off-line.

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Section: Related Workmentioning

confidence: 99%

Cybersecurity Awareness Platform with Virtual Coach and Automated Challenge Assessment

Gasiba

Lechner

Pinto-Albuquerque

et al. 2020

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…In Dobrovsky et al (2016) and Brisson et al (2012) describe an interactive reinforcement learning framework for serious games with complex environments, where a non-player character is modeled using human guidance. They argue that interactive reinforcement learning can be used to improve learning and the quality of learning.…”

Section: Previous Workmentioning

confidence: 99%

Sifu - a cybersecurity awareness platform with challenge assessment and intelligent coach

2020

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Software vulnerabilities, when actively exploited by malicious parties, can lead to catastrophic consequences. Proper handling of software vulnerabilities is essential in the industrial context, particularly when the software is deployed in critical infrastructures. Therefore, several industrial standards mandate secure coding guidelines and industrial software developers’ training, as software quality is a significant contributor to secure software. CyberSecurity Challenges (CSC) form a method that combines serious game techniques with cybersecurity and secure coding guidelines to raise secure coding awareness of software developers in the industry. These cybersecurity awareness events have been used with success in industrial environments. However, until now, these coached events took place on-site. In the present work, we briefly introduce cybersecurity challenges and propose a novel platform that allows these events to take place online. The introduced cybersecurity awareness platform, which the authors call Sifu, performs automatic assessment of challenges in compliance to secure coding guidelines, and uses an artificial intelligence method to provide players with solution-guiding hints. Furthermore, due to its characteristics, the Sifu platform allows for remote (online) learning, in times of social distancing. The CyberSecurity Challenges events based on the Sifu platform were evaluated during four online real-life CSC events. We report on three surveys showing that the Sifu platform’s CSC events are adequate to raise industry software developers awareness on secure coding.

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“…In particular computations, neural networks are being adopted to let software characters learn from their own experience and to predict what a player might do next by taking appropriate actions to meet their own challenges. In this way the game can remain continually novel, posing new tests for the player each time he plays [11] .…”

Section: Related Workmentioning

confidence: 99%

“…Bayesian theorem [11] has been used here to calculate the probability and has been described with the following example. It provides the probability of winning the next level.…”

Section: Use Of Bayesian Theoremmentioning

confidence: 99%

Financially-rich game: A stress reliever that behaves intelligently based on the performance and health condition of player

et al. 2019

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Health is affected by the financial, environmental and work conditions. In this paper, we have proposed an algorithm to be used in a game so that it could behave intelligently for stress relieving and health care rather than in a traditional leisure. Our study explores the efficacy of intelligent games to keep the interest of a user in computer usage that helps in the reduction of stress. The games keep track of a user's actions and decide intelligently which best next level should be provoked to the user for keeping his/her interest in the game. In several experiments it has been observed that after playing stress relief game, users become less distracted by rejection, help releasing their stress and anxiety.

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An approach to interactive deep reinforcement learning for serious games

Cited by 16 publications

References 15 publications

Cybersecurity Awareness Platform with Virtual Coach and Automated Challenge Assessment

Cybersecurity Awareness Platform with Virtual Coach and Automated Challenge Assessment

Sifu - a cybersecurity awareness platform with challenge assessment and intelligent coach

Financially-rich game: A stress reliever that behaves intelligently based on the performance and health condition of player

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