Human-Like Sequential Learning of Escape Routes for Virtual Reality Agents

Danial, Syed Nasir; Smith, Jennifer; Khan, Faisal; Veitch, Brian

doi:10.1007/s10694-019-00819-7

Cited by 11 publications

(7 citation statements)

References 17 publications

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“…The U.S. government explore its use to create a decentralised system through improved information sharing to exploit its traceability, transparency and immutability (Akilo 2018), and there has been an appearance of blockchain-based charity sites such as Binance and BitShares for disaster donations (Wolfson 2018). BE has not been analysed from the perspective of HSCs, but VR has been suggested for preparedness to train disaster professionals (Farra, Miller, and Hodgson 2015), to visualise disaster scenes (Ya et al 2018), to create disaster awareness (Suarez 2017), and to prepare disaster evacuations (Danial et al 2019).…”

Section: Edts In the Humanitarian Supply Chainmentioning

confidence: 99%

The potential of emergent disruptive technologies for humanitarian supply chains: the integration of blockchain, Artificial Intelligence and 3D printing

Rodríguez-Espíndola

Chowdhury

Beltagui

et al. 2020

International Journal of Production Research

200

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The growing importance of humanitarian operations has created an imperative to overcome the complications currently recorded in the field. Challenges such as delays, congestion, poor communication and lack of accountability may represent opportunities to test the reported advantages of emergent disruptive technologies. Meanwhile, the literature on humanitarian supply chains looks at isolated applications of technology and lacks a framework for understanding challenges and solutions, a gap that this article aims to fill. Using a case study based on the flood of Tabasco of 2007 in Mexico, this research identifies solutions based on the use of emergent disruptive technologies. Furthermore, this article argues that the integration of different technologies is essential to deliver real benefits to the humanitarian supply chain. As a result, it proposes a framework to improve the flow of information, products and financial resources in humanitarian supply chains integrating three emergent disruptive technologies; Artificial Intelligence, Blockchain and 3D Printing. The analysis presented shows the potential of the framework to reduce congestion in the supply chain, enhance simultaneous collaboration of different stakeholders, decrease lead times, increase transparency, traceability and accountability of material and financial resources, and allow victims to get involved in the fulfilment of their own needs.

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Section: Edts In the Humanitarian Supply Chainmentioning

confidence: 99%

The potential of emergent disruptive technologies for humanitarian supply chains: the integration of blockchain, Artificial Intelligence and 3D printing

Rodríguez-Espíndola

Chowdhury

Beltagui

et al. 2020

International Journal of Production Research

200

View full text Add to dashboard Cite

show abstract

“…Second, VR and AR balance ecological validity and experimental control [7]. Much has been written about VR (for recent publications, see for instance, [36,37,38,39,40,41,42,43,44,45,46,47,48]). AR, however, has only recently been identified as a training and research tool [49,50,51].…”

Section: Drill Versus Immersive Technologymentioning

confidence: 99%

The future of evacuation drills: Assessing and enhancing evacuee performance

Gwynne¹,

Amos

Kinateder

et al. 2020

Safety Science

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“…In order to show how the process of mental simulation works in accordance with RPDM literature, the agent's beliefbase has been slightly modified by setting the primary escape route (PER) as 'not learned' . The problem of learning by remembering waypoints along a route considering landmarks as opportunities for better retention is considered in [11,12]. Now what are the consequences, in a hazard, when the agent adapts a route that it does not know?…”

Section: Situation # 3bmentioning

confidence: 99%

On the realization of the recognition-primed decision model for artificial agents

Danial

Smith

Veitch

et al. 2019

Hum. Cent. Comput. Inf. Sci.

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Naturalistic decision making (NDM) is a relatively new approach to decision-making that relies on situation awareness (SA) [20] rather than having a fixed set of principles from which to choose the best or optimal solution. One of the prominent models of NDM is Klein's [33] recognition-primed decision model. RPDM has a descriptive nature, and it requires a thorough understanding of philosophical concepts, such as intuition, perception, and mental simulation. The purpose of this study is to develop a method based on the theory of RPDM that can be implemented in an artificial agent.

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Human-Like Sequential Learning of Escape Routes for Virtual Reality Agents

Cited by 11 publications

References 17 publications

The potential of emergent disruptive technologies for humanitarian supply chains: the integration of blockchain, Artificial Intelligence and 3D printing

The potential of emergent disruptive technologies for humanitarian supply chains: the integration of blockchain, Artificial Intelligence and 3D printing

The future of evacuation drills: Assessing and enhancing evacuee performance

On the realization of the recognition-primed decision model for artificial agents

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