A Reliability Game for Source Factors and Situational Awareness Experimentation

Rosa, Francesca de; Jousselme, Anne-Laure; Gloria, Alessandro De

doi:10.17083/ijsg.v5i2.243

Cited by 12 publications

(6 citation statements)

References 24 publications

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“…The experts did not only consider the experimentation methods engaging, but regarded the games as operationally relevant and clearly supporting the overall stated goal. Several instances of K2AGs have been successfully developed and deployed in the last years, such as the Risk Game [27], the Reliability Game [28,29], the MARItime Surveillance knowledge Acquisition (MARISA) Game [30] and the Maritime Unmanned System Trust (MUST) Game [31]). As a use case in this paper we consider the Reliability Game, which has been thoroughly analysed and was implemented both as board and computerised game.…”

Section: Serious Games Analytical Games and Engineeringmentioning

confidence: 99%

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Design methodology of analytical games for knowledge acquisition

Rosa

Gloria²

2021

IJSG

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Analytical games explore a problem or a domain with a research purpose. Considerable research is ongoing to investigate improvements to analytical game design, execution and exploitation. Moreover, the fast-paced technological developments in many fields, such as artificial intelligence and virtual reality, make it even more compellingto account for the advantages and limitations of these new capabilities. In game design, the use of digital means is often regarded as a mere technical factor that relates to the platform selection, facilitator support and data recording processes. In this work a shift in perspective is proposed, to move from technology-oriented design selection criteria towards a broader assessment of the design choices. In fact, the introductionof technology (i.e., automation and autonomy) will not lead to a substitution of tasks, but will intrinsically change the game environment. This work introduces a framework to provide a structured guidance on the aspects to be factored in the different design phases of an analytical game, including the potential impact of the adoption of automation and autonomy. The proposed approach is based on previous research in the fieldof simulation-based serious gaming, model-driven engineering and human factors engineering. The framework is applied to Knowledge Acquisition Analytical Games as a case study.

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Section: Serious Games Analytical Games and Engineeringmentioning

confidence: 99%

“…The framework for analytical games design presented in this paper is here applied to the Reliability Game (Section 2.1) as a case study. In the interest of brevity we summarise the salient aspect of the design cycle and refer the reader to [28,29] for further details.…”

Section: K2ag Use Casementioning

confidence: 99%

Design methodology of analytical games for knowledge acquisition

Rosa

Gloria²

2021

IJSG

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“…Although several works have addressed the problem of experts' probability elicitation (e.g., [16][17][18][19]), research is still required to develop more efficient and effective techniques. The authors have proposed the use of innovative approaches based on analytical gaming (i.e., [20]). The use of games for KA is based on the concept that games are "a communication mode capable of linking tacit to formal knowledge by provoking action and stimulating experience" [21].…”

Section: Introductionmentioning

confidence: 99%

“…The findings derived from these games have shown that human-derived strategies can be a powerful approach when used in conjunction with computational algorithms. Recently, the authors have used analytical games, such as the Reliability Game [20], as knowledge acquisition tools for the design of algorithms to be used in information systems in support to SAW. The Reliability Game, which was inspired by the Risk Game [31], collects information regarding the impact of information source factors (i.e., source quality and source type) on human situational assessment.…”

Section: Introductionmentioning

confidence: 99%

An Analytical Game for Knowledge Acquisition for Maritime Behavioral Analysis Systems

Rosa

Gloria

2020

Applied Sciences

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The use of Bayesian networks for behavioral analysis is gaining attention. The design of such algorithms often makes use of expert knowledge. The knowledge is collected and organized during the knowledge acquisition design task. In this paper, we discuss how analytical games can be exploited as knowledge acquisition techniques in order to collect information useful to intelligent systems design. More specifically, we introduce a recently developed method, called the MARISA (MARItime Surveillance knowledge Acquisition) Game. The aim of this game is to ease the elicitation from domain experts of a considerable amount of conditional probabilities to be encoded into a maritime behavioral analysis service based on a multi-source dynamic Bayesian network. The game has been deployed in two experiments. The main objectives of such experiments are the validation of the network structure, the acquisition of the conditional probabilities for the network, and the overall validation of the game method. The results of the experiment show that the objectives have been met and that the MARISA Game proved to be an effective and efficient approach.

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“…Results indicated overall positive game experience for all three games. "A Reliability Game for Source Factors and Situational Awareness Experimentation", by De Rosa et Al., [3], tackles the issue, typical in the military domain, of assessing the variety of information sources (e.g., sensors, open-source, intelligence, historical databases) and their possible lack of veracity. In order to characterise source factors impact on human belief assessment, the Reliability Game has been developed, a data exchange game in which players are requested to perform Situational Assessment tasks by mentally processing incoming information provided through cards.…”

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confidence: 99%