2019
DOI: 10.1007/s42461-018-0046-2
|View full text |Cite
|
Sign up to set email alerts
|

Developing a Virtual Reality Environment for Mining Research

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
7
0
2

Year Published

2019
2019
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 15 publications
(9 citation statements)
references
References 15 publications
0
7
0
2
Order By: Relevance
“…For instance, large data sets produced by a 24/7 sensor network and analyzed by ML‐enabled algorithms have the potential to improve surveillance of OSH effects, decrease uncertainty in risk assessment and management practices, and stimulate new avenues of OSH research. AI‐enabled virtual reality training can also be used to create dynamic, high‐fidelity immersive environments to simulate hazardous situations and enhance a worker's hazard recognition capabilities 84 . A prospective issue in AL‐enabled sensor use, however, relates to privacy concerns given that more organizations are managing their workforces using sensor technology, cloud‐based human resource systems, and ML‐enabled data analytics in an approach called “people analytics.” 85 To protect worker privacy, proposed best practices for employer‐sponsored worker monitoring programs include using only validated sensor technologies; ensuring voluntary worker participation; ceasing data collection outside the workplace; disclosing all data uses; and ensuring secure data storage.…”
Section: Cdc/niosh Future Of Work Initiative Priority Topicsmentioning
confidence: 99%
“…For instance, large data sets produced by a 24/7 sensor network and analyzed by ML‐enabled algorithms have the potential to improve surveillance of OSH effects, decrease uncertainty in risk assessment and management practices, and stimulate new avenues of OSH research. AI‐enabled virtual reality training can also be used to create dynamic, high‐fidelity immersive environments to simulate hazardous situations and enhance a worker's hazard recognition capabilities 84 . A prospective issue in AL‐enabled sensor use, however, relates to privacy concerns given that more organizations are managing their workforces using sensor technology, cloud‐based human resource systems, and ML‐enabled data analytics in an approach called “people analytics.” 85 To protect worker privacy, proposed best practices for employer‐sponsored worker monitoring programs include using only validated sensor technologies; ensuring voluntary worker participation; ceasing data collection outside the workplace; disclosing all data uses; and ensuring secure data storage.…”
Section: Cdc/niosh Future Of Work Initiative Priority Topicsmentioning
confidence: 99%
“…This is defined as the hardware-software binomial, which works in the interaction with the user through effective synchronous communication [7], and it has the capacity for isolation from real life and immersion in a virtual life [15,16]. Virtual reality could also solve even more complex problems [15].…”
Section: A Virtual Reality (Vr)mentioning
confidence: 99%
“…According to the research included for review and analysis, conventional 2D methods are still used currently to support projects [6], although it is stated that these traditional methods do not have enough interaction, nor the same understanding produced by experimenting with virtual reality technology [11,21], even though these technological methods are extraordinarily superior to traditional ones [1][2][3]6,11,15,[21][22].…”
Section: B Stakeholder Viewsmentioning
confidence: 99%
“…Dostępne materiały badawcze przedstawiają silniki gier wideo nie tylko jako narzędzia do wytwarzania gier, lecz także wskazują na ich użyteczność w środowiskach naukowych. Silniki gier wykorzystuje się w dziedzinach z pogranicza medycyny, architektury [14], meteorologii [8], geologii [2] oraz edukacji [12].…”
Section: Przegląd Literaturyunclassified